MAINTENANCE POLICY AND ITS IMPACT ON THE PERFORMABILITY EVALUATION OF EFT SYS...IJCSEA Journal
In the Electronic Funds Transfer (EFT) Systems, faults can cause severe degradation on the performance of this system. Thus, modelling the performance of EFT system without considering dependability aspects can cause inaccurate results. This paper presents a stochastic model for evaluating performance of processing and storage infrastructures of the EFT system. This work also presents a model for evaluating the effects of the proposed preventive maintenance policy and different service level agreements (SLA) on the dependability of the EFT system infrastructure. Then, this paper combines both models (dependability and performance) for evaluating the impact of dependability issues on the performance of the EFT system. Finally, case studies considering EFT system infrastructures are provided to demonstrate the applicability of the adopted approach. Moreover, the results of these case studies are depicted, stressing important aspects of dependability and performance for EFT system planning.
Design of a Controller for Systems with Simultaneously Variable Parametersijtsrd
The contribution of this paper is in suggesting an analysis and design of a control system with variable parameters By applying the recommended by the author method of the Advanced D-partitioning the system's stability can be analyzed in details The method defines regions of stability in the space of the system's parameters The designed controller is enforcing desired system performance The suggested technique for analysis and design is essential and beneficial for the further development of control theory in this area Prof. Kamen Yanev "Design of a Controller for Systems with Simultaneously Variable Parameters" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18440.pdf
Decentralised PI controller design based on dynamic interaction decoupling in...IJECEIAES
An enhanced method for design of decenralised proportional integral (PI) controllers to control various variables of flotation columns is proposed. These columns are multivariable processes characterised by multiple interacting manipulated and controlled variables. The control of more than one variable is not an easy problem to solve as a change in a specific manipulated variable affects more than one controlled variable. Paper proposes an improved method for design of decentralized PI controllers through the introduction of decoupling of the interconnected model of the process. Decoupling the system model has proven to be an effective strategy to reduce the influence of the interactions in the closed-loop control and consistently to keep the system stable. The mathematical derivations and the algorithm of the design procedure are described in detail. The behaviour and performance of the closed-loop systems without and with the application of the decoupling method was investigated and compared through simulations in MATLAB/Simulink. The results show that the decouplers - based closedloop system has better performance than the closed-loop system without decouplers. The highest improvement (2 to 50 times) is in the steady-state error and 1.2 to 7 times in the settling and rising time. Controllers can easily be implemented.
2-DOF BLOCK POLE PLACEMENT CONTROL APPLICATION TO:HAVE-DASH-IIBTT MISSILEZac Darcy
In a multivariable servomechanism design, it is required that the output vector tracks a certain reference
vector while satisfying some desired transient specifications, for this purpose a 2DOF control law
consisting of state feedback gain and feedforward scaling gain is proposed. The control law is designed
using block pole placement technique by assigning a set of desired Block poles in different canonical forms.
The resulting control is simulated for linearized model of the HAVE DASH II BTT missile; numerical
results are analyzed and compared in terms of transient response, gain magnitude, performance
robustness, stability robustness and tracking. The suitable structure for this case study is then selected.
Efficiency of bond graph and external model integration for alarm processing ...IJAAS Team
The design of a supervision system based on the external model by structuring the industrial process according to several modes of operation (degraded and normal). The disadvantage of this model is that it describes the industrial process components as functions regardless of their dynamics without going into detail. Hence the interest of the bond graph model to fill the external model limits. The performance of the proposed supervisory system using both models lies in the detection and location of faults for each mode of operation. The bond graph model enriched by the concept of causality and thanks to these structural properties can clearly display the elements of the physical system taking into account their dynamics in normal and abnormal operation. The results of our research have been applied to central air conditioning system; the development of the proposed project has proceeded from the modeling stage to the reconfiguration stage of the system.
An Imperfect Preventive Maintenance Policy Considering Reliability LimitIJERA Editor
This paper discusses an imperfect preventive maintenance model for a deteriorating repairable system with
consideration of the reliability limitand random maintenance quality. The model is derived from the
combination of failure rate adjustment and age over an infinite time horizon. The maintenance intervals are
obtained assuming both the failure rate increase factor and age restoration factor are random variables with a
uniform distribution. The optimal policy with a sensitivity analysis showing how different cost parameters affect
the long run average maintenance cost rate is presented.
A Level Training Set with both a Computer-Based Control and a Compact Control...ijesajournal
In engineering education, the combination with theoretical education and practical education is an
essential problem. The taught knowledge can be quickly forgotten without an experimental application. In
addition, the theoretical knowledge’s cannot be easily associated applications by students when they start
working in industry. To eliminate these problems, a number of education tools have been developed in
engineering education. This article presents a modelling, simulation and practice study of a newly designed
liquid level training set developed for the control engineering students to simulate, examine and analyze
theoretically and experimentally the controllers widely used in the control of many industrial processes.
The newly designed training set combines two control structures, which are a computer-based control and
a digital signal processing-based control. The set displays the results related to experiments in real time as
well as. These features have made it a suitable laboratory component on which the students can both
simulate and test the performance of liquid level control systems by using theoretical different control
structures.
MAINTENANCE POLICY AND ITS IMPACT ON THE PERFORMABILITY EVALUATION OF EFT SYS...IJCSEA Journal
In the Electronic Funds Transfer (EFT) Systems, faults can cause severe degradation on the performance of this system. Thus, modelling the performance of EFT system without considering dependability aspects can cause inaccurate results. This paper presents a stochastic model for evaluating performance of processing and storage infrastructures of the EFT system. This work also presents a model for evaluating the effects of the proposed preventive maintenance policy and different service level agreements (SLA) on the dependability of the EFT system infrastructure. Then, this paper combines both models (dependability and performance) for evaluating the impact of dependability issues on the performance of the EFT system. Finally, case studies considering EFT system infrastructures are provided to demonstrate the applicability of the adopted approach. Moreover, the results of these case studies are depicted, stressing important aspects of dependability and performance for EFT system planning.
Design of a Controller for Systems with Simultaneously Variable Parametersijtsrd
The contribution of this paper is in suggesting an analysis and design of a control system with variable parameters By applying the recommended by the author method of the Advanced D-partitioning the system's stability can be analyzed in details The method defines regions of stability in the space of the system's parameters The designed controller is enforcing desired system performance The suggested technique for analysis and design is essential and beneficial for the further development of control theory in this area Prof. Kamen Yanev "Design of a Controller for Systems with Simultaneously Variable Parameters" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18440.pdf
Decentralised PI controller design based on dynamic interaction decoupling in...IJECEIAES
An enhanced method for design of decenralised proportional integral (PI) controllers to control various variables of flotation columns is proposed. These columns are multivariable processes characterised by multiple interacting manipulated and controlled variables. The control of more than one variable is not an easy problem to solve as a change in a specific manipulated variable affects more than one controlled variable. Paper proposes an improved method for design of decentralized PI controllers through the introduction of decoupling of the interconnected model of the process. Decoupling the system model has proven to be an effective strategy to reduce the influence of the interactions in the closed-loop control and consistently to keep the system stable. The mathematical derivations and the algorithm of the design procedure are described in detail. The behaviour and performance of the closed-loop systems without and with the application of the decoupling method was investigated and compared through simulations in MATLAB/Simulink. The results show that the decouplers - based closedloop system has better performance than the closed-loop system without decouplers. The highest improvement (2 to 50 times) is in the steady-state error and 1.2 to 7 times in the settling and rising time. Controllers can easily be implemented.
2-DOF BLOCK POLE PLACEMENT CONTROL APPLICATION TO:HAVE-DASH-IIBTT MISSILEZac Darcy
In a multivariable servomechanism design, it is required that the output vector tracks a certain reference
vector while satisfying some desired transient specifications, for this purpose a 2DOF control law
consisting of state feedback gain and feedforward scaling gain is proposed. The control law is designed
using block pole placement technique by assigning a set of desired Block poles in different canonical forms.
The resulting control is simulated for linearized model of the HAVE DASH II BTT missile; numerical
results are analyzed and compared in terms of transient response, gain magnitude, performance
robustness, stability robustness and tracking. The suitable structure for this case study is then selected.
Efficiency of bond graph and external model integration for alarm processing ...IJAAS Team
The design of a supervision system based on the external model by structuring the industrial process according to several modes of operation (degraded and normal). The disadvantage of this model is that it describes the industrial process components as functions regardless of their dynamics without going into detail. Hence the interest of the bond graph model to fill the external model limits. The performance of the proposed supervisory system using both models lies in the detection and location of faults for each mode of operation. The bond graph model enriched by the concept of causality and thanks to these structural properties can clearly display the elements of the physical system taking into account their dynamics in normal and abnormal operation. The results of our research have been applied to central air conditioning system; the development of the proposed project has proceeded from the modeling stage to the reconfiguration stage of the system.
An Imperfect Preventive Maintenance Policy Considering Reliability LimitIJERA Editor
This paper discusses an imperfect preventive maintenance model for a deteriorating repairable system with
consideration of the reliability limitand random maintenance quality. The model is derived from the
combination of failure rate adjustment and age over an infinite time horizon. The maintenance intervals are
obtained assuming both the failure rate increase factor and age restoration factor are random variables with a
uniform distribution. The optimal policy with a sensitivity analysis showing how different cost parameters affect
the long run average maintenance cost rate is presented.
A Level Training Set with both a Computer-Based Control and a Compact Control...ijesajournal
In engineering education, the combination with theoretical education and practical education is an
essential problem. The taught knowledge can be quickly forgotten without an experimental application. In
addition, the theoretical knowledge’s cannot be easily associated applications by students when they start
working in industry. To eliminate these problems, a number of education tools have been developed in
engineering education. This article presents a modelling, simulation and practice study of a newly designed
liquid level training set developed for the control engineering students to simulate, examine and analyze
theoretically and experimentally the controllers widely used in the control of many industrial processes.
The newly designed training set combines two control structures, which are a computer-based control and
a digital signal processing-based control. The set displays the results related to experiments in real time as
well as. These features have made it a suitable laboratory component on which the students can both
simulate and test the performance of liquid level control systems by using theoretical different control
structures.
A LEVEL TRAINING SET WITH BOTH A COMPUTER- BASED CONTROL AND A COMPACT CONTRO...ijesajournal
In engineering education, the combination with theoretical education and practical education is an essential problem. The taught knowledge can be quickly forgotten without an xperimental application. In addition, the theoretical knowledge’s cannot be easily associated applications by students when they start
working in industry. To eliminate these problems, a number of education tools have been developed in engineering education. This article presents a modelling, simulation and practice study of a newly designed liquid level training set developed for the control engineering students to simulate, examine and analyze
theoretically and experimentally the controllers widely used in the control of many industrial processes. The newly designed training set combines two control structures, which are a computer-based control and a digital signal processing-based control. The set displays the results related to experiments in real time as
well as. These features have made it a suitable laboratory component on which the students can both simulate and test the performance of liquid level control systems by using theoretical different control structures.
Stochastic behavior analysis of complex repairable industrial systemsISA Interchange
The purpose of this paper is to present a novel technique for analyzing the behavior of an industrial system stochastically by utilizing vague, imprecise, and uncertain data. In the present study two important tools namely Lambda-Tau methodology and particle swarm optimization are combinedly used to present a novel technique named as particle swarm optimization based Lambda-Tau (PSOBLT) for analyzing the behavior of a complex repairable system stochastically up to a desired degree of accuracy. Expressions of reliability indices like failure rate, repair time, mean time between failures (MTBF), expected number of failures (ENOF), reliability and availability for the system are obtained by using Lambda-Tau methodology and particle swarm optimization is used to construct their member- ship function. The interaction among the working units of the system is modeled with the help of Petri nets. The feeding unit of a paper mill situated in a northern part of India, producing approximately 200 ton of paper per day, has been considered to demonstrate the proposed approach. Sensitivity analysis of system’s behavior has also been done. The behavior analysis results computed by PSOBLT technique have a reduced region of prediction in comparison of existing technique region,
i.e. uncertainties involved in the analysis are reduced. Thus, it may be a more useful analysis tool to assess the current system conditions and involved uncertainties.
The problem of controlling an unstable delayed double integrating process with fractional delay using a
feed forward first-order lag-lead compensator is studied. The effect of time delay of the process in a range between
0.1 and 0.9 seconds is considered. The compensator is tuned using MATLAB optimization toolbox with five forms
of the objective function in terms of the error between the step time response of the closed-loop control system and
the response steady-state value. Using the proposed compensator with the fractional delayed double integrating
process indicates the robustness of the compensator in the time delay range used with superior time-based
specifications compared with other technique based on PID controller.
Keywords — Delayed double integrating process with fractional delay, Feed forward lag-lead first-order
compensator, compensator tuning, MATLAB optimization toolbox, Control system performance.
2-DOF Block Pole Placement Control Application To: Have-DASH-IIBITT MissileZac Darcy
In a multivariable servomechanism design, it is required that the output vector tracks a certain reference
vector while satisfying some desired transient specifications, for this purpose a 2DOF control law
consisting of state feedback gain and feedforward scaling gain is proposed. The control law is designed
using block pole placement technique by assigning a set of desired Block poles in different canonical forms.
The resulting control is simulated for linearized model of the HAVE DASH II BTT missile; numerical
results are analyzed and compared in terms of transient response, gain magnitude, performance
robustness, stability robustness and tracking. The suitable structure for this case study is then selected.
2-DOF Block Pole Placement Control Application To: Have-DASH-IIBITT MissileZac Darcy
In a multivariable servomechanism design, it is required that the output vector tracks a certain reference
vector while satisfying some desired transient specifications, for this purpose a 2DOF control law
consisting of state feedback gain and feedforward scaling gain is proposed. The control law is designed
using block pole placement technique by assigning a set of desired Block poles in different canonical forms.
The resulting control is simulated for linearized model of the HAVE DASH II BTT missile; numerical
results are analyzed and compared in terms of transient response, gain magnitude, performance
robustness, stability robustness and tracking. The suitable structure for this case study is then selected.
A New Approach for Design of Model Matching Controllers for Time Delay System...IJERA Editor
Modeling of physical systems usually results in complex high order dynamic representation. The simulation and design of controller for higher order system is a difficult problem. Normally the cost and complexity of the controller increases with the system order. Hence it is desirable to approximate these models to reduced order model such that these lower order models preserves all salient features of higher order model. Lower order models simplify the understanding of the original higher order system. Modern controller design methods such as Model Matching Technique, LQG produce controllers of order at least equal to that of the plant, usually higher order. These control laws are may be too complex with regards to practical implementation and simpler designs are then sought. For this purpose, one can either reduce the order the plant model prior to controller design, or reduce the controller in the final stage, or both. In the present work, a controller is designed such that the closed loop system which includes a delay response(s) matches with those of the chosen model with same time delay as close as possible. Based on desired model, a controller(of higher order) is designed using model matching method and is approximated to a lower order one using Approximate Generalized Time Moments (AGTM) / Approximate Generalized Markov Moments (AGMM) matching technique and Optimal Pade Approximation technique. Genetic Algorithm (GA) optimization technique is used to obtain the expansion points one which yields similar response as that of model, minimizing the error between the response of the model and that of designed closed loop system.
Optimization of Modified Sliding Mode Controller for an Electro-hydraulic Act...IJECEIAES
This paper presents the design of the modified sliding mode controller (MSMC) for the purpose of tracking the nonlinear system with mismatched disturbance. Provided that the performance of the designed controller depends on the value of control parameters, gravitational search algorithm (GSA), and particle swarm optimization (PSO) techniques are used to optimize these parameters in order to achieve a predefined system’s performance. In respect of system’s performance, it is evaluated based on the tracking error present between reference inputs transferred to the system and the system output. This is followed by verification of the efficiency of the designed controller in simulation environment under various values, with and without the inclusion of external disturbance. It can be seen from the simulation results that the MSMC with PSO exhibits a better performance in comparison to the performance of the similar controller with GSA in terms of output response and tracking error.
Selecting representative working cycles from large measurement data setsReno Filla
A tool has been developed that selects one representative cycle, or a set of cycles, from large measurement data sets based on a specified set of repetitive signals, possibly weighed in their importance. Three different computation methods have been developed and tested, all preserving physical correctness. These approaches are described in detail and compared in the paper.
Abstract The deployment of statistical process control (SPC) in manufacturing environments is a prominent global phenomenon. Statistical Process Control is largely used in industries for monitoring the process parameters. It is a standard method for visualizing and controlling processes on the basis of measurements of randomly selected samples. The decisions about what needs to be improved, the possible methods to improve it, and the steps to take after getting results from the charts are all made by humans and based on wisdom and experience. The statistical process control described in this paper gives the details about the SPC, its advantages and limitation, applications and information regarding the control charts. Keywords: Statistical Process Control, Control chart, 5M’s, Capability Indices.
Hybrid controller design using gain scheduling approach for compressor systemsIJECEIAES
The automatic control system plays a crucial role in industries for controlling the process operations. The automatic control system provides a safe and proper controlling mechanism to avoid environmental and quality problems. The control system controls pressure flow, mass flow, speed control, and other process metrics and solves robustness and stability issues. In this manuscript, The Hybrid controller approach like proportional integral (PI) and proportional derivative (PD) based fuzzy logic controller (FLC) using with and without gain scheduling approach is modeled for the compressor to improve the robustness and error response control mechanism. The PI/PD-based FLC system includes step input function, the PI/PD controller, FLC with a closed-loop mechanism, and gain scheduler. The error signals and control response outputs are analyzed in detail for PI/PD-based FLC’s and compared with conventional PD/PID controllers. The PD-based FLC with the Gain scheduling approach consumes less overshoot time of 74% than the PD-based FLC without gain scheduling approach. The PD-based FLC with the gain scheduling approach produces less error response in terms of 7.9% in integral time absolute error (ITAE), 7.4% in integral absolute error (IAE), and 16% in integral square error (ISE) than PD based FLC without gain scheduling approach.
Plant wide control design based on steady-state combined indexesISA Interchange
This work proposes an alternative methodology for designing multi-loop control structures based on steady-state indexes and multi-objective combinatorial optimization problems. Indeed, the simultaneous selection of the controlled variables, manipulated variables, input-output pairing, and controller size and interaction degree is performed by using a combined index which relies on the sum of square deviations and the net load evaluation assessments in conjunction. This unified approach minimizes both the dynamic simulation burden and the heuristic knowledge requirements for deciding about the final optimal control structure. Further, this methodology allows incorporating structural modifications of the optimization problem context (degrees of freedom). The case study selected is the well-known Tennessee Eastman process and a set of simulations are given to compare this approach with early works.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
More Related Content
Similar to ABSTRACT In order to reduce the number and time of layups and to increase the period of ef.docx
A LEVEL TRAINING SET WITH BOTH A COMPUTER- BASED CONTROL AND A COMPACT CONTRO...ijesajournal
In engineering education, the combination with theoretical education and practical education is an essential problem. The taught knowledge can be quickly forgotten without an xperimental application. In addition, the theoretical knowledge’s cannot be easily associated applications by students when they start
working in industry. To eliminate these problems, a number of education tools have been developed in engineering education. This article presents a modelling, simulation and practice study of a newly designed liquid level training set developed for the control engineering students to simulate, examine and analyze
theoretically and experimentally the controllers widely used in the control of many industrial processes. The newly designed training set combines two control structures, which are a computer-based control and a digital signal processing-based control. The set displays the results related to experiments in real time as
well as. These features have made it a suitable laboratory component on which the students can both simulate and test the performance of liquid level control systems by using theoretical different control structures.
Stochastic behavior analysis of complex repairable industrial systemsISA Interchange
The purpose of this paper is to present a novel technique for analyzing the behavior of an industrial system stochastically by utilizing vague, imprecise, and uncertain data. In the present study two important tools namely Lambda-Tau methodology and particle swarm optimization are combinedly used to present a novel technique named as particle swarm optimization based Lambda-Tau (PSOBLT) for analyzing the behavior of a complex repairable system stochastically up to a desired degree of accuracy. Expressions of reliability indices like failure rate, repair time, mean time between failures (MTBF), expected number of failures (ENOF), reliability and availability for the system are obtained by using Lambda-Tau methodology and particle swarm optimization is used to construct their member- ship function. The interaction among the working units of the system is modeled with the help of Petri nets. The feeding unit of a paper mill situated in a northern part of India, producing approximately 200 ton of paper per day, has been considered to demonstrate the proposed approach. Sensitivity analysis of system’s behavior has also been done. The behavior analysis results computed by PSOBLT technique have a reduced region of prediction in comparison of existing technique region,
i.e. uncertainties involved in the analysis are reduced. Thus, it may be a more useful analysis tool to assess the current system conditions and involved uncertainties.
The problem of controlling an unstable delayed double integrating process with fractional delay using a
feed forward first-order lag-lead compensator is studied. The effect of time delay of the process in a range between
0.1 and 0.9 seconds is considered. The compensator is tuned using MATLAB optimization toolbox with five forms
of the objective function in terms of the error between the step time response of the closed-loop control system and
the response steady-state value. Using the proposed compensator with the fractional delayed double integrating
process indicates the robustness of the compensator in the time delay range used with superior time-based
specifications compared with other technique based on PID controller.
Keywords — Delayed double integrating process with fractional delay, Feed forward lag-lead first-order
compensator, compensator tuning, MATLAB optimization toolbox, Control system performance.
2-DOF Block Pole Placement Control Application To: Have-DASH-IIBITT MissileZac Darcy
In a multivariable servomechanism design, it is required that the output vector tracks a certain reference
vector while satisfying some desired transient specifications, for this purpose a 2DOF control law
consisting of state feedback gain and feedforward scaling gain is proposed. The control law is designed
using block pole placement technique by assigning a set of desired Block poles in different canonical forms.
The resulting control is simulated for linearized model of the HAVE DASH II BTT missile; numerical
results are analyzed and compared in terms of transient response, gain magnitude, performance
robustness, stability robustness and tracking. The suitable structure for this case study is then selected.
2-DOF Block Pole Placement Control Application To: Have-DASH-IIBITT MissileZac Darcy
In a multivariable servomechanism design, it is required that the output vector tracks a certain reference
vector while satisfying some desired transient specifications, for this purpose a 2DOF control law
consisting of state feedback gain and feedforward scaling gain is proposed. The control law is designed
using block pole placement technique by assigning a set of desired Block poles in different canonical forms.
The resulting control is simulated for linearized model of the HAVE DASH II BTT missile; numerical
results are analyzed and compared in terms of transient response, gain magnitude, performance
robustness, stability robustness and tracking. The suitable structure for this case study is then selected.
A New Approach for Design of Model Matching Controllers for Time Delay System...IJERA Editor
Modeling of physical systems usually results in complex high order dynamic representation. The simulation and design of controller for higher order system is a difficult problem. Normally the cost and complexity of the controller increases with the system order. Hence it is desirable to approximate these models to reduced order model such that these lower order models preserves all salient features of higher order model. Lower order models simplify the understanding of the original higher order system. Modern controller design methods such as Model Matching Technique, LQG produce controllers of order at least equal to that of the plant, usually higher order. These control laws are may be too complex with regards to practical implementation and simpler designs are then sought. For this purpose, one can either reduce the order the plant model prior to controller design, or reduce the controller in the final stage, or both. In the present work, a controller is designed such that the closed loop system which includes a delay response(s) matches with those of the chosen model with same time delay as close as possible. Based on desired model, a controller(of higher order) is designed using model matching method and is approximated to a lower order one using Approximate Generalized Time Moments (AGTM) / Approximate Generalized Markov Moments (AGMM) matching technique and Optimal Pade Approximation technique. Genetic Algorithm (GA) optimization technique is used to obtain the expansion points one which yields similar response as that of model, minimizing the error between the response of the model and that of designed closed loop system.
Optimization of Modified Sliding Mode Controller for an Electro-hydraulic Act...IJECEIAES
This paper presents the design of the modified sliding mode controller (MSMC) for the purpose of tracking the nonlinear system with mismatched disturbance. Provided that the performance of the designed controller depends on the value of control parameters, gravitational search algorithm (GSA), and particle swarm optimization (PSO) techniques are used to optimize these parameters in order to achieve a predefined system’s performance. In respect of system’s performance, it is evaluated based on the tracking error present between reference inputs transferred to the system and the system output. This is followed by verification of the efficiency of the designed controller in simulation environment under various values, with and without the inclusion of external disturbance. It can be seen from the simulation results that the MSMC with PSO exhibits a better performance in comparison to the performance of the similar controller with GSA in terms of output response and tracking error.
Selecting representative working cycles from large measurement data setsReno Filla
A tool has been developed that selects one representative cycle, or a set of cycles, from large measurement data sets based on a specified set of repetitive signals, possibly weighed in their importance. Three different computation methods have been developed and tested, all preserving physical correctness. These approaches are described in detail and compared in the paper.
Abstract The deployment of statistical process control (SPC) in manufacturing environments is a prominent global phenomenon. Statistical Process Control is largely used in industries for monitoring the process parameters. It is a standard method for visualizing and controlling processes on the basis of measurements of randomly selected samples. The decisions about what needs to be improved, the possible methods to improve it, and the steps to take after getting results from the charts are all made by humans and based on wisdom and experience. The statistical process control described in this paper gives the details about the SPC, its advantages and limitation, applications and information regarding the control charts. Keywords: Statistical Process Control, Control chart, 5M’s, Capability Indices.
Hybrid controller design using gain scheduling approach for compressor systemsIJECEIAES
The automatic control system plays a crucial role in industries for controlling the process operations. The automatic control system provides a safe and proper controlling mechanism to avoid environmental and quality problems. The control system controls pressure flow, mass flow, speed control, and other process metrics and solves robustness and stability issues. In this manuscript, The Hybrid controller approach like proportional integral (PI) and proportional derivative (PD) based fuzzy logic controller (FLC) using with and without gain scheduling approach is modeled for the compressor to improve the robustness and error response control mechanism. The PI/PD-based FLC system includes step input function, the PI/PD controller, FLC with a closed-loop mechanism, and gain scheduler. The error signals and control response outputs are analyzed in detail for PI/PD-based FLC’s and compared with conventional PD/PID controllers. The PD-based FLC with the Gain scheduling approach consumes less overshoot time of 74% than the PD-based FLC without gain scheduling approach. The PD-based FLC with the gain scheduling approach produces less error response in terms of 7.9% in integral time absolute error (ITAE), 7.4% in integral absolute error (IAE), and 16% in integral square error (ISE) than PD based FLC without gain scheduling approach.
Plant wide control design based on steady-state combined indexesISA Interchange
This work proposes an alternative methodology for designing multi-loop control structures based on steady-state indexes and multi-objective combinatorial optimization problems. Indeed, the simultaneous selection of the controlled variables, manipulated variables, input-output pairing, and controller size and interaction degree is performed by using a combined index which relies on the sum of square deviations and the net load evaluation assessments in conjunction. This unified approach minimizes both the dynamic simulation burden and the heuristic knowledge requirements for deciding about the final optimal control structure. Further, this methodology allows incorporating structural modifications of the optimization problem context (degrees of freedom). The case study selected is the well-known Tennessee Eastman process and a set of simulations are given to compare this approach with early works.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
ABSTRACT In order to reduce the number and time of layups and to increase the period of ef.docx
1. ABSTRACT In order to reduce the number and time of layups and to
increase the period of effective operation of a mechatronic system it is
reasonable to carry out predictive recovery works during one stoppage
(repair) for a group of component parts with equal, close or multiple
operation hours to the prior-to-failure (limiting) state. Such approach gives
also the possibility to carry out recovery works with separate elements in
parallel, which allows to reduce the system layup time and to increase the
production output. Keywords: determination, diagnostic, mechatronic
system. INTRODUCTION One of the ways to increase the operational
effectiveness of complex expensive mechatronic systems (machining
centers, automated lines, paper-making machines, etc.) is reducing the
costs of their maintenance and repair. Application of predictive
maintenance and repair strategy seems to be prospective in this direction;
it is based on the application of statistical analysis data of operation,
failures and replacement of component parts. However, application of such
an approach in real conditions in order to enhance the operational process
is quite difficult [19]. These difficulties appear due to the fact that operation
time of a certain component machine part, distributed according to the
known law, is a random value and failures occur in arbitrary time points. In
practice, such a situation results in the case that a machine with a large
number of component parts will often layup because of a failure or reaching
the prior-to-failure state of only one element [21]. PREDICTIVE REPAIR
OF EQUIPMENT The urgency of searching and implementing more
effective methods of complex systems (including mechatronic ones)
maintenance and repair has been growing lately. It is explained by the fact
that as the layouts are complicated and the quality of manufactured
products is increased, the cost of producing the equipment and keeping its
serviceable condition, i.e. its maintenance and repair (M&R), is
considerably increased. Improvement of this or that system of M&R is
determined by the level of interaction between the objectively existing
process of technical state variation of the object and the process of its
operation, intended to keep the serviceability of the equipment. For
example, as for the metal and woodworking equipment, chemical and other
industries equipment, the mentioned interactions are considered by a
periodical correction of a regulatory background of M&R systems [5, 7].
The expediency of such an approach is explained by a serial and mass
production of goods with almost the same operation conditions Received:
2018.04.12 Accepted: 2018.05.06 Published: 2018.06.01 275 Advances in
Science and Technology Research Journal Vol. 12 (2), 2018 and the
2. possibility to more precise definition of the repair cycle parameters. This
approach is not applicable for complex unique systems due to a high cost
of its implementation. As regards the mechatronic systems, the
maintenance and repair system, based on the execution of the assigned
scope of recovery work according to preplanned time intervals or certain
running hours independently on the actual state of the system, does not
provide the required interaction between the mentioned processes in order
to keep the assigned reliability level of objects and efficiency of their
application. Theoretical investigations and operation of mechatronic
systems in our country and abroad show, that the most effective and
progressive M&R system is the system of the predictive M&R in
combination with applying the strategies of M&R according to running
hours. A certain relativity of the system name is explained by its
purposefulness [4, 7]. In this case the modes of maintenance, scope and
content of recovery works are assigned according to the actual technical
state of the system. The important condition to apply the strategies of
predictive M&R of mechatronic systems effectively is ensuring the high
level of the operation and repair manufacturability [20]. The main features
of the operation and repair manufacturability are: controllability,
accessibility, quickdetachability, interchangeability and repairability. When
designing and upgrading the unique complex mechanical systems
(including mechatronic modules and systems), in order to meet the
requirements of repairability and M&R efficiency, it is necessary to keep the
following principles: • The reasonable separation of the layout by separately
produced and maintained structural elements, leading to, as a rule, a
considerable reduction of time and labor costs of M&R. • The accessibility
of component parts of the equipment to maintain and repair, especially of
those, determining the serviceability of the system. • The specification and
embodiment of control areas for technical condition of components parts
and machines as a whole according to the accepted methods and means
of technical and technological diagnostics. • The reasonable embodiment of
the parting and conjugation places in the machine, allowing to minimize the
time and labor costs of assembling/disassembling and to provide the
application of mechanization means when performing the M&R. • Designing
the machine elements for the assigned lifetime with account of the
accepted system of M&R. Therefore, the questions of applying this or that
strategy of M&R and achieving the highest operation effectiveness must be
foreseen and provided at the stages of design and development. The
system of the predictive M&R possesses certain properties of the predictive
protective system. The principle of failures prevention is implemented when
designing, upgrading and manufacturing by creation of the layout with the
3. increased durability; when operating it is implemented by the assignment of
predicting tolerances for the technical state parameters to be controlled.
The principle of the scheduled preventive works provides the possibilities of
increasing the effectiveness and quality of works and improving their
organization. When the system of the predictive M&R is applied, the
diagnostics and general works are planned depending on the technical
state of the equipment. The principle of providing the correspondence of
the operating process to the process of varying the technical state of the
equipment is implemented more completely. The system of the predictive
maintenance and repair is flexible and dynamic [22]. Strategies and modes
of M&R as applied to one and the same type of equipment can be varied
depending on the growth of the average running hours of products, on
performing the layout additional works, on creating the new methods and
means of the technical diagnostics, and so on. The applied strategies can
be varied at different enterprises depending on their available equipment,
production volume and professional skills of engineers and technicians.
THE MODEL OF THE MECHATRONIC SYSTEM OPERATION In order to
reduce the number and time of layups, to increase the interval of the
effective operation of the mechatronic system, it is practically reasonable to
perform preventive recovery works during one shutdown (repair) of a group
of components with equal, close or multiple running hours up to the prior-
to-failure (limiting) state [11, 1]. From this point of view the model of
operation can be presented as follows. Advances in Science and
Technology Research Journal Vol. 12 (2), 2018 276 Case 1 Let us consider
the system, comprising n component parts connected in series. The failure
of any element causes the failure of the whole system. An object may have
the following possible states: "0" – the system is serviceable, i.e. all
elements are operable; "1" – any one element of the system is faulty, the
system is inoperative; "i" – any i elements of the system are faulty, the
system is inoperative; "n" – all n elements of the system are faulty, the
system is inoperative. The graph of states and transitions when operating
the continuously working system being recovered, consisting of serially
connected elements, is shown in Figure 1. The mathematical model has
been developed on the basis of the theory of semi-Markovian processes,
since the laws of distribution of running hours and recoveries of component
parts of the mechatronic system can have an arbitrary character, i.e. they
can differ from the exponential one. Markovian properties will be exhibited
only at the instants of transition from one state to the other. When the initial
state is fixed, the further behavior of the semi-Markovian process with time
e
4. system in the state еi on the stipulation that the following state of the
system transition is the state e0 . At the initial time instant the process is in
the state e0 . Then, according to the distribution {p0j} the state ej of the
process transition is chosen. Here, the holding time of the semi-Markovian
process in the state e0 is a random value with the distribution function
T0j(t). In the new state ej the process behaves in exactly the same way [2,
12]. The semi-Markovian process can be also assigned by means of one
possibility, i.e. the possibility of the following event: at the initial state ei the
process will proceed by one step to the state ej , the holding time of the
process in the state ei will not exceed the value t (the step is the time
interval between adjacent transitions). The value Pij(t) is related to the
transition probabilities pij and the distribution function Tij(t) by the
correlation: ( ) ( ), lim ( ) ij ij ij ij ij t Pt p Tt p Pt →∞ = ⋅ = at that 0 0 ( ) 1,
0,1,..., n n ij ij j j p p in = = ∑ ∑ ∞ = = = Then one can write: Tij(t) = Pij(t) /
pij. As for the considered case with application of logical-and-probabilistic
methods, the system transition probabilities from one state to the other
during the time (t, t ∆t) will be expressed as follows: 1. If the system is in
the state "0" at the time instant t, then it will stay here on stipulation that no
component part will fail during the interval (t, t t). In this case the probability
of such a zero transition will be determined as follows: Fig. 1. The graph of
states and transitions of a series system being recovered in operation
(Case 1); PC – the set of operable states; HPC – the set of inoperable
states 00 ( ) 1 2 ( ) ( ) ( ) ( ) 1 ... n n i i P t P tP t P t P t = ∆= ∆⋅ ∆ ∆= ∆ ∏ (1)
2. If the system is in the serviceable state "0" at the time instant t, then if
any i components fail within the interval (t, t ∆t), it can pass to the state "i"
with the probability: 277 Advances in Science and Technology Research
Journal Vol. 12 (2), 2018 0 ( ) [ ( ) 1 1 n i i i P t pt = ∆= -
the system is in the "i th" state, that is, it is being recovered, then it will
return to the serviceable state "0" during the time (t, t ∆t) with the possibility
(if the repair of all i components is finished): 0 ( ) ( ) 1 n i i i P t qt = ∆= ∆ ∏
(3) 4. If the system is in the "i th" state, that is, all i components are being
repaired, then it can stay in this state during the time (t, t ∆t) with the
possibility (if the repair of all i components is not finished): ( ) [ ( ) 1 1 n ii i i
Pt qt = ∆= -
components are being repaired, then it can pass to the state j during the
time (t, t ∆t) with the possibility (if the recovery of all i components is not
finished): ( ) ( ) ( ) 1 1 1 m k ij i j i j Pt qt q t = = ∆= ∆ -
where m is the number of recovered (repaired) components; k is the
number of unrecovered components. The transition probability matrix,
characterizing the state of the mechatronic system at a definite time instant,
5. is represented in Figure 2. Case 2 In order to reduce the order of the
transition probability matrix of the model of system operation, it is proposed
to apply the rule of grouping the machine components according to the
states of the object, based on the principle of multiplicity of running hours.
In this case, the possible states of the machine can be formulated as
follows: "0" – the system is serviceable, that is, all its elements are
operable; "1" – elements with the multiplicity 1 are faulty, the system is
inoperable; "k" – elements with the multiplicity of running hours k are faulty,
the system is inoperable. Hence, probabilities of the system transitions
from one state to the other during the time (t ∆t) will be expressed as
follows: 1. If the system is in the state "0" during the time instant t, then it
will stay here on stipulation that no component will fail during the time
interval (t, t ∆t). The probability of such a transition will be determined by
the product of probabilities of the non-failure operation of all elements of
the system during the time interval ∆t.