This document provides information on the Modern Control Theory course offered by the Mechanical Engineering department. The purpose of the course is to help students understand fundamentals of modern control theory, create mathematical models of dynamic systems, and analyze system response and stability using different methods. The course involves 45 hours of lectures covering topics such as system modeling, response analysis, stability analysis, and state space analysis of multiple input multiple output systems. Student learning is assessed through continuous assessments and a final exam involving problems applying concepts at different cognitive levels. The course is designed by experts from academia and research institutions.
EHR ATTRIBUTE-BASED ACCESS CONTROL (ABAC) FOR FOG COMPUTING ENVIRONMENTcsandit
Liquid level tanks are employed in many industrial and chemical areas. Their level must be keep
a defined point or between maximum-minimum points depending on changing of inlet and outlet
liquid quantities. In order to overcome the problem, many level control methods have been
developed. In the paper, it was aimed that obtain a mathematical model of an installed liquid
level tank system. Then, the mathematical model was derived from the installed system
depending on the sizes of the liquid level tank. According to some proportional-integralderivative
(PID) parameters, the model was simulated by using MATLAB/Simulink program.
After that, data of the liquid level tank were taken into a computer by employing data
acquisition cards (DAQs). Lastly, the computer-controlled liquid level control was successfully
practiced through a written computer program embedded into a PID algorithm used the PID
parameters obtained from the simulations into Advantech VisiDAQ software
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.
In this presentation, Raghav introduces automation, talks about trends in the field and goes on to talk about his vision for a glove that revolutionizes testing.
EHR ATTRIBUTE-BASED ACCESS CONTROL (ABAC) FOR FOG COMPUTING ENVIRONMENTcsandit
Liquid level tanks are employed in many industrial and chemical areas. Their level must be keep
a defined point or between maximum-minimum points depending on changing of inlet and outlet
liquid quantities. In order to overcome the problem, many level control methods have been
developed. In the paper, it was aimed that obtain a mathematical model of an installed liquid
level tank system. Then, the mathematical model was derived from the installed system
depending on the sizes of the liquid level tank. According to some proportional-integralderivative
(PID) parameters, the model was simulated by using MATLAB/Simulink program.
After that, data of the liquid level tank were taken into a computer by employing data
acquisition cards (DAQs). Lastly, the computer-controlled liquid level control was successfully
practiced through a written computer program embedded into a PID algorithm used the PID
parameters obtained from the simulations into Advantech VisiDAQ software
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.
In this presentation, Raghav introduces automation, talks about trends in the field and goes on to talk about his vision for a glove that revolutionizes testing.
Model-based Investigation of the Effect of Tuning Parameters o.docxraju957290
Model-based Investigation of the Effect of Tuning Parameters on a
Servo-Motor Response and Mode Transition
1.0 Project Objective:
The objective of this project is to familiarize the students with the use and limitations of
models in understanding the response of a practical servo-system and evaluating its
usefulness. It introduces system modes as a tool of evaluating the quality of a system’s
output. It also explores the ability of a controller’s tuning parameters to affect the
system’s behavior and cause it to shift from one mode to another.
2.0 Equipment: Matlab, Simulink and the EE380 textbook.
3.0 Background:
This section provides a brief background about the tools and concepts needed to
understand the role of mathematical constructs in modeling, predicting and tuning the
behavior of a system.
3.1: System Modes and the Quality of its Response
Control systems are enablers whose objective is to make a servo-process (SP) yield to
the commands of an operator and provide him with useful work. When the operator
issues a command, the SP can only respond by being in one of the following modes:
o If the SP complies with the command of the operator it is in a stable mode
o If it does not comply with the command, the mode is called unstable
Figure-1: Stability does not imply useful outcome from the servo-process
Obviously, the minimum expectation of the operator from the servo-process is to be in a
stable mode. However, the system being in a stable mode need not necessarily mean
that it is providing the operator with useful work. The quality of the system response could
be too poor and practically useless. Take for example a car as a servo-process (figure-1).
If the car fails to reach the destination, one may call the process unstable. However, if the
process is stable and the car is able to reach the destination but the path it took is too
long, rough, consumes too much fuel and contains many detours, the effort derived from
the car cannot be called useful.
Measuring the usefulness of the outcome from a servo-process is important since a
response that is not useful defeats the purpose of control. One way to assess the quality
of a system’s response is though the use of performance measures such as overshoot,
settling time, rise time and steady state error. A more general way of describing the
quality of system behavior is through using system modes. System modes may be used
to qualitatively describe the whole state of the response not particular aspects of it, as in
performance measures. In industrial applications, six system modes are used to
describe the response of a practical servo-process. They are unstable, over-damped,
critically-damped, under-damped, oscillatory and chattering. Their description and profile
are shown in table-1.
Mode Description Profile
1 Unstable Instability causes the position to diverge from the
reference position in either an oscill ...
Control engineering module 1 part-a 18me71Mohammed Imran
Control engineering module 1 part-a
Part-A
Introduction: Components of a control system, Open loop and closed loop systems.
Types of controllers: Proportional, Integral, Differential, Proportional-Integral, and Proportional- Integral Differential controllers.
Part-B
Modelling of Physical Systems: Mathematical Models of Mechanical, Electrical, Thermal, Hydraulic Systems.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Model-based Investigation of the Effect of Tuning Parameters o.docxraju957290
Model-based Investigation of the Effect of Tuning Parameters on a
Servo-Motor Response and Mode Transition
1.0 Project Objective:
The objective of this project is to familiarize the students with the use and limitations of
models in understanding the response of a practical servo-system and evaluating its
usefulness. It introduces system modes as a tool of evaluating the quality of a system’s
output. It also explores the ability of a controller’s tuning parameters to affect the
system’s behavior and cause it to shift from one mode to another.
2.0 Equipment: Matlab, Simulink and the EE380 textbook.
3.0 Background:
This section provides a brief background about the tools and concepts needed to
understand the role of mathematical constructs in modeling, predicting and tuning the
behavior of a system.
3.1: System Modes and the Quality of its Response
Control systems are enablers whose objective is to make a servo-process (SP) yield to
the commands of an operator and provide him with useful work. When the operator
issues a command, the SP can only respond by being in one of the following modes:
o If the SP complies with the command of the operator it is in a stable mode
o If it does not comply with the command, the mode is called unstable
Figure-1: Stability does not imply useful outcome from the servo-process
Obviously, the minimum expectation of the operator from the servo-process is to be in a
stable mode. However, the system being in a stable mode need not necessarily mean
that it is providing the operator with useful work. The quality of the system response could
be too poor and practically useless. Take for example a car as a servo-process (figure-1).
If the car fails to reach the destination, one may call the process unstable. However, if the
process is stable and the car is able to reach the destination but the path it took is too
long, rough, consumes too much fuel and contains many detours, the effort derived from
the car cannot be called useful.
Measuring the usefulness of the outcome from a servo-process is important since a
response that is not useful defeats the purpose of control. One way to assess the quality
of a system’s response is though the use of performance measures such as overshoot,
settling time, rise time and steady state error. A more general way of describing the
quality of system behavior is through using system modes. System modes may be used
to qualitatively describe the whole state of the response not particular aspects of it, as in
performance measures. In industrial applications, six system modes are used to
describe the response of a practical servo-process. They are unstable, over-damped,
critically-damped, under-damped, oscillatory and chattering. Their description and profile
are shown in table-1.
Mode Description Profile
1 Unstable Instability causes the position to diverge from the
reference position in either an oscill ...
Control engineering module 1 part-a 18me71Mohammed Imran
Control engineering module 1 part-a
Part-A
Introduction: Components of a control system, Open loop and closed loop systems.
Types of controllers: Proportional, Integral, Differential, Proportional-Integral, and Proportional- Integral Differential controllers.
Part-B
Modelling of Physical Systems: Mathematical Models of Mechanical, Electrical, Thermal, Hydraulic Systems.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Thesis Statement for students diagnonsed withADHD.ppt
18 meo114t 3 actual syllabus modern control theory
1. Course Code 18MEO114T Course Name MODERN CONTROL THEORY Course Category O Open Elective
L T P C
3 0 0 3
Pre-requisite Courses NIL Co-requisite Courses NIL Progressive Courses NIL
Course Offering Department Mechanical Engineering Data Book / Codes/Standards Statistical data books
Course Learning Rationale
(CLR):
The purpose of learning this course is to: Learning Program Learning Outcomes (PLO)
CLR-1 : Understand and remember the fundamentals of modern control theory including basic controller actions 1 2 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
CLR-2 : Create mathematical models for dynamic systems and Apply transfer function and state space models
Level
of
Thinking
(Bloom)
Expected
Proficiency
(%)
Expected
Attainment
(%)
Engineering
Knowledge
Problem
Analysis
Design
&
Development
Analysis,
Design,
Research
Modern
Tool
Usage
Society
&
Culture
Environment
&
Sustainability
Ethics
Individual
&
Team
Work
Communication
Project
Mgt.
&
Finance
Life
Long
Learning
PSO
-
1
PSO
-
2
PSO
–
3
CLR-3 : Upon learning the students shall Analyze the transient and steady state system response of control systems
CLR-4 : Upon learning the students shall Analyze the stability of control system by different methods
CLR-5 : Upon learning the students shall Analyze multiple input multiple output systems using state space approach
Course Learning Outcomes
(CLO):
At the end of this course, learners will be able to:
CLO-1 :
Understand basic terminologies, concepts of feedback, dynamic system modeling using linear differential equations, applytransfer
functions for control system
1,2 90 85 H H
CLO-2 : Understand modeling in state space, apply state space model and evaluate different mechanical systems 1,2 85 80 H H H
CLO-3 : Understandstandard test signals, apply and evaluate system response for first and second order systems 1,2,3 85 80 H H H
CLO-4 : Understand, apply, and create optimal control systems based on stability analysis by different approaches 1,2,3 85 80 H H H
CLO-5 : Analyze the multiple input multiple output dynamic systems based on state space approach, apply Kalman and Gilbert test 1,2,3 90 85 H H H H
Duration (hour)
Introduction to control systems System Modeling System response Stability Analysis State space analysis of MIMO systems
9 9 9 9 9
S-1 SLO-1
Brief Review, Basic terminologies and examples,
Classical-Modern-Robust-Automatic control
systems, Concepts of Feedback: Closed-loop and
open-loop control systems, Design and
compensation of control systems (Design
procedure)
Modeling in state space: State, State variables,
State vector, State space, State equations for a
MIMO system
Transient and steady state response,
Standard test signals- Mathematical
expressions- type and order of a system
Complex s-plane, Routh’s
stability criterion
MIMO System analysis: state-space
approach
S-2 SLO-1
Brief Review, Basic terminologies and examples,
Classical-Modern-Robust-Automatic control
systems, Concepts of Feedback: Closed-loop and
open-loop control systems, Design and
compensation of control systems (Design
procedure)
Modeling in state space: State, State variables,
State vector, State space, State equations for a
MIMO system
First order Systems: Unit step response
and Unit ramp response, Concepts of
time constant and its importance in
speed of response
Complex s-plane, Routh’s
stability criterion
MIMO System analysis: state-space
approach
S-3 SLO-1
Modeling of control systems using linear
differential equations, Transfer function
expressions (with note on convolution integral),
Block diagrams
State space representation of dynamic systems
– nth order systems of linear differential
equations, State space models for mechanical
systems: Examples from mechanical, electrical,
liquid-level, thermal systems
First order Systems: Unit step response
and Unit ramp response, Concepts of
time constant and its importance in
speed of response
Analysis of control systems by
Root-Locus method: concepts
and procedure, Design of
Lead-Lag compensation based
on Root-Locus approach
State space representation in controllable,
observable, diagonal and jordan
canonical forms, order reduction and
solution of state equations
S-4 SLO-1
Modeling of control systems using linear
differential equations, Transfer function
expressions (with note on convolution integral),
Block diagrams
State space representation of dynamic systems
– nth order systems of linear differential
equations, State space models for mechanical
Second order systems: Servo system
and Servo system with velocity feedback
Analysis of control systems by
Root-Locus method: concepts
and procedure, Design of
State space representation in controllable,
observable, diagonal and jordan
canonical forms, order reduction and
solution of state equations
2. Duration (hour)
Introduction to control systems System Modeling System response Stability Analysis State space analysis of MIMO systems
9 9 9 9 9
systems: Examples from mechanical, electrical,
liquid-level, thermal systems
Lead-Lag compensation based
on Root-Locus approach
S-5 SLO-1
Basic Control action: Types of controllers,
Principles of pneumatic, hydraulic and electronic
controllers
State space representation of dynamic systems
– nth order systems of linear differential
equations, State space models for mechanical
systems: Examples from mechanical, electrical,
liquid-level, thermal systems
Second order systems: Servo system
and Servo system with velocity feedback
Analysis of control systems by
Root-Locus method: concepts
and procedure, Design of
Lead-Lag compensation based
on Root-Locus approach
Controllability and observability, Kalman
and Gilbert test
S-6 SLO-1
Basic Control action: Types of controllers,
Principles of pneumatic, hydraulic and electronic
controllers
State space representation of dynamic systems
– nth order systems of linear differential
equations, State space models for mechanical
systems: Examples from mechanical, electrical,
liquid-level, thermal systems
Second order systems: Servo system
and Servo system with velocity feedback
Stability: Polar, Bode and
Nyquistplots
Controllability and observability, Kalman
and Gilbert test
S-7 SLO-1
Basic Control action: Types of controllers,
Principles of pneumatic, hydraulic and electronic
controllers
State space representation of transfer function
systems
Controller errors, Higher order systems,
Effects of proportional-integral-derivative
control actions on the system response
Stability: Polar, Bode and
Nyquistplots
Pole placement approach to the design of
control systems, State observers, Design
of servo systems
S-8 SLO-1
Tuning of PID controller: Ziegler-Nichols rules State space representation of transfer function
systems
Controller errors, Higher order systems,
Effects of proportional-integral-derivative
control actions on the system response
Lead-Lag compensation based
on frequency response
approach
Pole placement approach to the design of
control systems, State observers, Design
of servo systems
S-9 SLO-1
Tuning of PID controller: Ziegler-Nichols rules Linearisation of a non-linear system Controller errors, Higher order systems,
Effects of proportional-integral-derivative
control actions on the system response
Lead-Lag compensation based
on frequency response
approach
Pole placement approach to the design of
control systems, State observers, Design
of servo systems
Learning
Resources
1. K. Ogata - ‘Modern Control Engineering - Prentice Hall (India) - Pearson Education - 2009 - 5th
Edition
2. Francis. H. Raven - ‘Automatic Control Systems’ – McGraw Hill - 1995 - 5th Edition
1. B. C. Kuo - ‘Automatic Control Systems’ - Wiley - 2009 - 9th Edition
2. Schaum’s Series - ‘Feedback and Control Systems’ – McGraw Hill Education - 2013 - 2nd Edition
3. I. J. Nagarath& M. Gopal - ‘Control Systems’ - New age International Publishers.
4. Norman Nise- ‘Control Systems Engineering’ - Wiley and Sons - 2015 - 7thEdition
5. Rihard C. Drof and Robert. H. Bishop Addison - ‘Modern Control Systems’ – Wesley – 2010 - 12th Edition
Learning Assessment
Level of Thinking
Continuous Learning Assessment (50%)
Final Examination (50%)
CLA – 1 (10%) CLA – 2 (15%) CLA – 3 (15%) CLA – 4 (10%) #
Level 1
Remember
40 % 30 % 30 % 30 % 30 %
Understand
Level 2
Apply
40 % 40 % 40 % 40 % 40 %
Analyze
Level 3
Evaluate
20 % 30 % 30 % 30 % 30 %
Create
Total 100% 100% 100% 100% 100%
# CLA – 4 can be from any combination of these: Assignments, Seminars, Tech Talks, Mini-Projects, Case-Studies, Self-Study, MOOCs, Certifications, Conf. Paper etc.,
Course Designers
Experts from Industry Experts from Higher Technical Institutions Internal Experts
1. Dr.R.Kalimuthu, ISRO, Mahendragiri, r_kalimuthu@vssc.gov.in 1. Dr. BIJAY KUMAR ROUT, BITS, Pilani Dr C. Shravankumar, SRMIST
2. Dr.A.Velayutham, DRDO, Avadi, velayudham.a@cvrde.drdo.in 2. Dr.R.Prabhusekar, rprabhusekar@mnnit.ac.in, MNNITAllahabad Dr. P. Nandakumar, SRMIST