This document discusses DeltaV model predictive control (MPC). It describes how MPC uses process models derived from historical data to predict process behavior and calculate target setpoints and manipulated variable moves. It also discusses tuning the dynamic controller and economic optimizer to minimize errors for controlled variables while achieving optimization objectives like minimizing costs. Troubleshooting tips are provided to check if the optimizer and controller are performing as expected.
Utilizing DeltaV Advanced Control Innovations to Improve Control PerformanceEmerson Exchange
Many functions of the DeltaV system are unique in the process industry. In this presentation we explore and discuss innovative features of the DeltaV PID and embedded Advanced Control products that can be applied to improve control performance. In particular, PID options are addressed that enhance cascade and override applications and allow effective single loop control using a sampled or wireless measurement. Application examples are used to illustrate how MPC can be easily added and commissioned online with no changes in the existing control strategy. Also, continuous data analytics is used an example that illustrates how future tools will enable improvements to be made in plant operations.
Advanced control foundation tools and techniquesEmerson Exchange
A new book on advanced control fundamental will be published by ISA in September, 2012. This book addresses all the advanced control products that are included in the DeltaV control system or are planned for a future DeltaV release. In this session two of the authors present and discuss key areas addressed in the book and demonstrate web site that accompanies the book.
Utilizing DeltaV Advanced Control Innovations to Improve Control PerformanceEmerson Exchange
Many functions of the DeltaV system are unique in the process industry. In this presentation we explore and discuss innovative features of the DeltaV PID and embedded Advanced Control products that can be applied to improve control performance. In particular, PID options are addressed that enhance cascade and override applications and allow effective single loop control using a sampled or wireless measurement. Application examples are used to illustrate how MPC can be easily added and commissioned online with no changes in the existing control strategy. Also, continuous data analytics is used an example that illustrates how future tools will enable improvements to be made in plant operations.
Advanced control foundation tools and techniquesEmerson Exchange
A new book on advanced control fundamental will be published by ISA in September, 2012. This book addresses all the advanced control products that are included in the DeltaV control system or are planned for a future DeltaV release. In this session two of the authors present and discuss key areas addressed in the book and demonstrate web site that accompanies the book.
Control Loop Foundation - Batch And Continous ProcessesEmerson Exchange
This presentation, by Emerson's Terry Blevins and Mark Nixon, is a guide for engineers, managers, technicians, and others that are new to process control or experienced control engineers who are unfamiliar with multi-loop control techniques.
Their book is available in the ISA Bookstore at: http://emrsn.co/1E
SIMATIC S7-1200: Easily adapted to suit your needs easy book en-usRushabh Patel
SIMATIC S7-1200: Easily adapted to suit your needs
TIA Portal Basic has task-oriented, intelligent and intuitive editors that enable it to serve as one common engineering framework for the SIMATIC S7-1200 controller and SIMATIC HMI Basic Panel; which will help you to achieve many engineering efficiencies in your daily work giving you a competitive advantage.
Compact automation solutions also require scalability and flexibility, and this is achieved for your application through the integrated PROFINET interface on the controller S7-1200 for programming, HMI connections, distributed I/O's and distributed drive architectures.
Service quality has become increasingly important to a service organization and information technology has become more integral to a firm. The presentation deals with how a state of the art smart grid technology based project was actually implemented in India by the author along with all the facets of advanced Information Technology integration in Utility Operations. Deals with Advanced Billing System, DSM,SCADA, DMS, OMS, GIS, SAP, AMR, ICUCCS, CRM, etc.Therefore, one of the challenges is to manage IT to enhance service quality.
Follow up to this presentation one has to also refer to a research.The objective of the research was to understand the relationship between Smart Grid Technology and service quality. Concepts from management information systems, communications and strategy have been integrated in a conceptual model which describes the management of IT to improve service quality. The case study of an electric utility helped in the development of the research model. The survey was customized according to information technologies and services in the electric utility industry. The correlation analysis results show that the variables in the hypotheses are correlated and the result is highly significant. The multiple regression and path analysis of quantitative data has supported the hypotheses of the research study. The results have shown that system quality, information quality and employee IT characteristics influence employee IT performance, which in turn influences the service quality at the organizational level. How Smart Grid Implementation support directly impacts service quality
Practical Use & Understanding of Foundation FieldBus for Engineers & TechniciansLiving Online
Foundation Fieldbus (FF) is one of the leading fieldbuses in Process Automation. Its sophisticated architecture is tailor-made for today's automation systems. Its unique set of features allows for the implementation of true distributed control. The Foundation Fieldbus includes an H1 protocol based on IEC 61158-2 physical layer specification as well as an HSE standard for communication over Ethernet/IP. These features and the possibility for distributed control make the Foundation Fieldbus unique for process control application.
The main aim of this workshop is to give you a clear understanding of Foundation Fieldbus and to enable you to specify and design systems using this technology. There has been a surge of interest in Foundation Fieldbus due to the tremendous benefits it provides. This workshop aims to break down the terminology and jargon barriers and to explain Foundation Fieldbus in a simple and understandable way; thus enabling you to apply the technology effectively.
MORE INFORMATION: http://www.idc-online.com/content/practical-use-and-understanding-foundation-fieldbus-engineers-and-technicians-24
New DeltaV Module Templates to Easily Configure, View, and Trend Advanced Pre...Emerson Exchange
Advanced pressure diagnostics use statistical process monitoring to characterize process variation and detect abnormal conditions such as plugged impulse lines, furnace flame instability, or distillation column flooding. New DeltaV diagnostics module templates, including control modules, operator faceplates, and process history view ease configuration and use of advanced diagnostics.
Presented by Emerson's Tom Wallace and Erik Mathiason at 2011 Emerson Exchange in Nashville.
At Emerson Exchange 2009, Martin Berutti presents on the business benefits, requirements, and steps for building a Virtual DeltaV system with a virtual plant and I/O.
Emerson's Lee Neitzel and Chris Felt present OPC .NET 3.0. The presentation was updated from what was presented at the 2010 Emerson Exchange in San Antonio, Texas to reflect the name change from OPC Xi to OPC .NET 3.0.
Control Loop Foundation - Batch And Continous ProcessesEmerson Exchange
This presentation, by Emerson's Terry Blevins and Mark Nixon, is a guide for engineers, managers, technicians, and others that are new to process control or experienced control engineers who are unfamiliar with multi-loop control techniques.
Their book is available in the ISA Bookstore at: http://emrsn.co/1E
SIMATIC S7-1200: Easily adapted to suit your needs easy book en-usRushabh Patel
SIMATIC S7-1200: Easily adapted to suit your needs
TIA Portal Basic has task-oriented, intelligent and intuitive editors that enable it to serve as one common engineering framework for the SIMATIC S7-1200 controller and SIMATIC HMI Basic Panel; which will help you to achieve many engineering efficiencies in your daily work giving you a competitive advantage.
Compact automation solutions also require scalability and flexibility, and this is achieved for your application through the integrated PROFINET interface on the controller S7-1200 for programming, HMI connections, distributed I/O's and distributed drive architectures.
Service quality has become increasingly important to a service organization and information technology has become more integral to a firm. The presentation deals with how a state of the art smart grid technology based project was actually implemented in India by the author along with all the facets of advanced Information Technology integration in Utility Operations. Deals with Advanced Billing System, DSM,SCADA, DMS, OMS, GIS, SAP, AMR, ICUCCS, CRM, etc.Therefore, one of the challenges is to manage IT to enhance service quality.
Follow up to this presentation one has to also refer to a research.The objective of the research was to understand the relationship between Smart Grid Technology and service quality. Concepts from management information systems, communications and strategy have been integrated in a conceptual model which describes the management of IT to improve service quality. The case study of an electric utility helped in the development of the research model. The survey was customized according to information technologies and services in the electric utility industry. The correlation analysis results show that the variables in the hypotheses are correlated and the result is highly significant. The multiple regression and path analysis of quantitative data has supported the hypotheses of the research study. The results have shown that system quality, information quality and employee IT characteristics influence employee IT performance, which in turn influences the service quality at the organizational level. How Smart Grid Implementation support directly impacts service quality
Practical Use & Understanding of Foundation FieldBus for Engineers & TechniciansLiving Online
Foundation Fieldbus (FF) is one of the leading fieldbuses in Process Automation. Its sophisticated architecture is tailor-made for today's automation systems. Its unique set of features allows for the implementation of true distributed control. The Foundation Fieldbus includes an H1 protocol based on IEC 61158-2 physical layer specification as well as an HSE standard for communication over Ethernet/IP. These features and the possibility for distributed control make the Foundation Fieldbus unique for process control application.
The main aim of this workshop is to give you a clear understanding of Foundation Fieldbus and to enable you to specify and design systems using this technology. There has been a surge of interest in Foundation Fieldbus due to the tremendous benefits it provides. This workshop aims to break down the terminology and jargon barriers and to explain Foundation Fieldbus in a simple and understandable way; thus enabling you to apply the technology effectively.
MORE INFORMATION: http://www.idc-online.com/content/practical-use-and-understanding-foundation-fieldbus-engineers-and-technicians-24
New DeltaV Module Templates to Easily Configure, View, and Trend Advanced Pre...Emerson Exchange
Advanced pressure diagnostics use statistical process monitoring to characterize process variation and detect abnormal conditions such as plugged impulse lines, furnace flame instability, or distillation column flooding. New DeltaV diagnostics module templates, including control modules, operator faceplates, and process history view ease configuration and use of advanced diagnostics.
Presented by Emerson's Tom Wallace and Erik Mathiason at 2011 Emerson Exchange in Nashville.
At Emerson Exchange 2009, Martin Berutti presents on the business benefits, requirements, and steps for building a Virtual DeltaV system with a virtual plant and I/O.
Emerson's Lee Neitzel and Chris Felt present OPC .NET 3.0. The presentation was updated from what was presented at the 2010 Emerson Exchange in San Antonio, Texas to reflect the name change from OPC Xi to OPC .NET 3.0.
A Quick and Easy Way to Connect to FOUNDATION fieldbus using Emerson’s USB Fi...Emerson Exchange
Presented by Emerson's Alan Dewey at the 2011 Emerson Exchange in Nashville, TN USA.
Abstract: Emerson has recently introduced a quick and easy way for users to connect directly to a FOUNDATION fieldbus segment with their portable laptop or notebook computer. Using Emerson's newly available USB Fieldbus Interface, users can easily connect their laptop or PC to a fieldbus network either in the field or on the bench. This enables users to experience the benefits of applications such as AMS Device Manager without having to use the control system. This workshop will highlight the capabilities of this useful new device and provide a live demonstration of how it can be used.
On-line Process Control Lab Access and Use DeminarJim Cahill
Recorded demo/seminar of Greg McMillan presenting On-line Process Control Lab with Access and Use Instructions on May 27, 2010.
Screencast of presentation available at: http://www.screencast.com/t/Y2Q4NjM0Y
Each of the files or classes of a projects source code represents a tree (AST). Looking at dependencies to other classes besides inheritance creates a graph though. Field types and method parameters are also implicit dependencies. Storing this information in a graph database like Neo4j allows for interesting queries and insights. Class-Graph provides that and is available as open-source github project.
PID Control Of Sampled Measurements - Greg McMillan Deminar SeriesJim Cahill
This presentation, PID Control of Sampled Measurements, is from the first in Greg McMillan's live seminar / demo (a.k.a. deminar) series.
You can watch a recorded version of this presentation at: http://www.screencast.com/t/ODhlOWY4M
For future events and background, visit: http://www.emersonprocessxperts.com/archives/2010/04/free_series_of.html
Maximizing the return on your control investment meet the experts sessions pa...Emerson Exchange
The design and commissioning of the controls associated with a continuous or batch process directly impact plant operating efficiency and production quality and throughput. In this session we review techniques that may be used to identify control opportunities to reduce production costs, minimize variations in product quality and to maximize production within the limits set by market demand. Several common application examples from the process industry will be used to illustrate how plant production rate and product quality are directly influenced by process control variation and constraints in plant operation. Starting with an assessment of control loop utilization and automatic control performance, a step by step process is outlined that may be used to identifying and addressing areas where it is possible to justified the time and material costs required to improve control performance. In particular, information will be provided on how to quickly tune single loop control of self-regulating or integrating process and to recognize when variations in control loop performance are not associated with loop tuning. An overview will be provided of tools and techniques that may be used to achieve best control performance over a wide variety of operating conditions. Also, guidance will be provided on when it is possible to justify the cost associated with the installation and commissioning of multi-loop techniques such as feedforward control, ratio and override control. The steps required to commission multi-loop control strategies will be address along with common mistakes to avoid. Also, input will be provided on how to recognize when advanced control techniques such as Fuzzy logic or MPC are needed to achieve the desired control performance. At the end of this session a drawing will be held to give away 10 copies of “Control Loop Foundation – Batch and Continuous Processes”. Many of the ideas discussed in this session are addressed in this book.
In working machines like wheel loaders the human operator is essential for the performance of the total system. Productivity and energy efficiency are both dependent not only on inherent machine properties and working place conditions, but also on how the operator manoeuvres the machine. In order to operate energy-efficient the operator has to experience the machine as harmonic. This is important to consider during the development of such working machines.
The influence of the human operator is an aspect that is traditionally neglected in dynamic simulations conducted in concept design, because the modelling needs to be extended beyond the technical system. In the research presented in this paper we show two approaches to rule-based simulation models of a wheel loader operator. Both operator models interact with the machine model just as a human operator does with the actual machine. It is demonstrated that both operator models are able to adapt to basic variations in workplace setup and machine capability. A "human element" can thus be introduced into dynamic simulations of working machines, providing more relevant answers with respect to operator-influenced complete-machine properties such as productivity and energy efficiency.
Operability of a machine is traditionally evaluated by professional test operators using physical prototypes. The presented research demonstrates how this can be complemented by a calculated measure for the operator’s control effort, derived from the recorded control commands of the machine operator. This control effort measure can also be calculated from the control commands of an operator model in a simulation, such as those presented here. It thus also allows for an assessment of operability already in the concept design phase.
This presentation explains clearly about the definition of controller and classification of controllers and explanation of individual controllers of P, I, D and combination of PI, PD and PID controllers with transfer function and block diagram. It explains effects of P,I PI, PD and PID controllers on system performance.
Aplication of on line data analytics to a continuous process polybetene unitEmerson Exchange
This Emerson Exchange, 2013 presentation summarizes the 2013 field trail results achieved by applying on-line continuous data analytics to Lubrizol’s continuous polybutene process. Continuous data analytics may be used to provide an on-line prediction of quality parameters, and enable on-line detection of fault conditions. Information is provided on improvements made in the model used for quality parameter prediction, and how the field trail platform was integrated into the process unit. Presenters Qiwei Li, production engineer, Efren Hernandez and Robert Wojewodka, Lubrizol Corp., and Terry Blevins, principal technologist at Emerson, won best in conference in the process optimization track for this presentation.
This Emerson Exchange, 2013 workshop presentation addresses the online training available through Emerson Process educational services. Effective, consistent, easy to access on-line courses have been developed to address customer training requirements. An education portal is available on-line with 24x7 access to a variety of online courses that include comprehensive exams and workshops. Information will be provided on this new online learning portal and online course library. The “new” online Control Loop Foundation course is used to demonstrate this on-line learning capability and how students learn and get gain hands on experience with single loop and multi-loop control techniques.
The DeltaV PIDPlus is based on a modification of the PID reset and rate calculation to account for non-periodic measurement updates. An alternate approach is to use PID with a modified Kalman filter or modified Smith Predictor. Test results are presented that compare the PIDPlus to these alternate approaches.
In this presentation we address the implementation of a scalar Kalman Filter for use in closed loop control of industrial process that is characterized by one manipulated input and one controlled parameter. A DeltaV linked composite is described that allows Kalman filtering to be used with the PID block in closed loop control. Also, information is provided on a DeltaV module that may be used to get more familiar with the Kalman filter in a test environment. The Kalman Filter composite and test module may be accessed through application exchange at the DeltaV Interactive Portal
Application of online data analytics to a continuous process polybutene unitEmerson Exchange
Continuous data analytics may be used to provide an on-line prediction of quality parameters and enable on-line detection of fault conditions. In this workshop, we present the results achieved in extending Lubrizol’s past work with on-line batch analytics to a continuous polybutene process. Information will be presented on how data analytics may be used to improve multiple quality and operational variables. The presentation will include a demonstration of the web interface used in the field trial and a summary of the operational benefits gained during the trial.
Addressing control applications using wireless hart devicesEmerson Exchange
Many WirelessHART transmitter applications require that the measurement valve be used in closed loop Control. The PIDPlus capability introduced in DeltaV v11.3 enables robust control using WirelessHART measurements. A PIDPlus enhancement in DeltaV v12.3 further improves the response for setpoint changes. Details of the PIDPlus and field results using WirelessHART transmitters and PIDPlus are presented in the workshop.
The semantic web an inside look at the creation of control loop foundationEmerson Exchange
The book Control Loop Foundation and its companion website controlloopfoundation.com have been widely used. One of the reasons for this was the team’s decision to allow access to study materials and labs from a wide-variety of PCs and Tablets. Doing this required putting a web interface on top of DeltaV, supporting multiple browsers, and providing access to continuous and historical data from web pages. Details on the web site design and construction are addressed in this workshop.
Presentation give by Terry Blevins at the IFAC PID'12 conference in Brescia, Italy on March 28th, 2012. Presentation based on paper by Willy Wojsznis, Terry Blevins, John Caldwell, and Mark Nixon
Calibration Excellence: Intelligent Application of Smart Technology is Just t...Emerson Exchange
Presented by GSK's Don Brady and Emerson's Richard Barnes at the 2011 Emerson Exchange conference in Nashville, TN USA.
Abstract: The project for an innovative integrated PlantWeb asset and calibration management solution went live in Nov 2010 at GSK’s Cork facility, a primary API production plant. This workshop presents GSK’s Calibration Excellence program and the significant improvements in business operations and management of regulatory compliance that it is delivering in support of GSK’ s world class manufacturing program. This system forms part of the GSK global engineering strategy.
The author has received the GSK Excellence Recognition Award in acknowledgement of the importance and success of this project.
Presented by Emerson's Michael Pearson and Roy Gueldenzoph at the 2011 Emerson Exchange in Nashville, TN USA.
Abstract: Many measurement challenges exist when monitoring high temperature assets such as Arc Furnaces, including high temperature, moving platforms, and high EMI. Northstar Bluescope Steel had all of these problems and more. They used these points for control, and their only solution was shutting the furnace down and replacing the wires often. By implementing an Emerson Smart Wireless technology, the customer was able to reduce or eliminate all of these measurement challenges, resulting in greatly reduced maintenance costs, and additional throughput.
Maximizing the return on your control investment meet the experts sessions part2Emerson Exchange
The design and commissioning of the controls associated with a continuous or batch process directly impact plant operating efficiency and production quality and throughput. In this session we review techniques that may be used to identify control opportunities to reduce production costs, minimize variations in product quality and to maximize production within the limits set by market demand. Several common application examples from the process industry will be used to illustrate how plant production rate and product quality are directly influenced by process control variation and constraints in plant operation. Starting with an assessment of control loop utilization and automatic control performance, a step by step process is outlined that may be used to identifying and addressing areas where it is possible to justified the time and material costs required to improve control performance. In particular, information will be provided on how to quickly tune single loop control of self-regulating or integrating process and to recognize when variations in control loop performance are not associated with loop tuning. An overview will be provided of tools and techniques that may be used to achieve best control performance over a wide variety of operating conditions. Also, guidance will be provided on when it is possible to justify the cost associated with the installation and commissioning of multi-loop techniques such as feedforward control, ratio and override control. The steps required to commission multi-loop control strategies will be address along with common mistakes to avoid. Also, input will be provided on how to recognize when advanced control techniques such as Fuzzy logic or MPC are needed to achieve the desired control performance. At the end of this session a drawing will be held to give away 10 copies of “Control Loop Foundation – Batch and Continuous Processes”. Many of the ideas discussed in this session are addressed in this book.
Improving continuous process operation using data analytics delta v applicati...Emerson Exchange
Quality parameters are available through lab measurements and the final product quality changes may go undetected until a lab sample is taken. Continuous data analytics tool provided on-line prediction of quality parameters and fault detection. Field trial results from a carbon dioxide absorption/stripping process at the UT/Austin Separations Research Program will be presented in this workshop.
Commissioning highly interactive process an approach for tuning control loopsEmerson Exchange
The size of the process equipment used in a pilot plant dictates a little buffering and interaction between process units. We examine a skid mounted high temperature CO2 recovery process with a high degree of process interaction. An effective tuning approach provided high performance control. A dynamic process simulation optimized performance by exploring various control strategies.
Recovery from a process saturation condition benefits of using delta v pid_plusEmerson Exchange
The PIDPlus option of the PID function block in the DeltaV v11.3 allows improved recovery from a process saturation condition. In this workshop the technical basis for the change in the PID are presented. The impact this has on the time required to get to setpoint is examined and the improvement in response for the surge control will be demonstration using a synamic compressor simulation.
Cryogenic Vessel Alternatives' Kegan Kavander and Emerson's Nicole Rundlett won the best of conference presentation in the Instrumentation Flow track at the 2011 Emerson Exchange conference in Nashville, TN USA.
Their abstract: The LNG market has increased dramatically over the past several years, and developing systems to handle custody transfer transactions in remote areas is a key to the market's success. Cryogenic Vessel Alternatives has developed an LNG dispensing trailer which allows for the transport and eventual sale of LNG to remote areas.
Accurate metering of the LNG is facilitated through the use of a Micro Motion CMF100 which has been designed specifically for cryogenic applications. Using the sensor's diagnostics, customers are ensured of being billed for LNG in an all liquid state.
https://bit.ly/BabeSideDoll4u Babeside is a company that specializes in creating handcrafted reborn dolls. These dolls are designed to be incredibly lifelike, with realistic skin tones and hair, and they have become increasingly popular among collectors and those who use them for therapeutic purposes. At Babeside, we believe that our reborn dolls can provide comfort and healing to anyone who needs it.
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In addition to their physical benefits, reborn dolls can also offer emotional support. For many people, having something to care for and nurture can bring a sense of purpose and fulfillment. Reborn dolls can also serve as a reminder of happy memories or loved ones who have passed away.
Welcome to the Program Your Destiny course. In this course, we will be learning the technology of personal transformation, neuroassociative conditioning (NAC) as pioneered by Tony Robbins. NAC is used to deprogram negative neuroassociations that are causing approach avoidance and instead reprogram yourself with positive neuroassociations that lead to being approach automatic. In doing so, you change your destiny, moving towards unlocking the hypersocial self within, the true self free from fear and operating from a place of personal power and love.
3. Introduction
Acknowledgement
What is DeltaV MPC?
The MPC Dynamic Controller
The Optimizer
“Tuning” the Optimizer
“Tuning” the Dynamic Controller
Troubleshooting Poor MPC Performance
Summary
4. What is DeltaV MPC?
MPC= Multivariable, Model Predictive
Controller
The MPCPro block has a “Dynamic”
Controller and a linear Optimizer
The MPC block only has a “Dynamic”
Controller
5. Model Predictive Control (MPC)
Learns From History
Learns From History
To Predict The Future
To Predict The Future
Modeled
Relationship
Past Present Future
5
6. Types Of Process Variables
“Process” Inputs
Manipulated Variables (MV) – Valves or controller
setpoints written to by the MPC.
Disturbance Variables (DV) - Measured variables
which may also affect the value of controlled
variables
“Process” Outputs
Controlled Variables (CV) - Process variables
which are to be maintained at a specific value; i.e.,
the setpoint
Constraints (LV) - Variables which must be
maintained within an operating range (a special
type of CV)
7. Matrix Control - Background
Top_Temp = Kp11*Steam + Kp12*Reflux
Btm_Temp = Kp21*Steam + Kp22*Reflux
Using Linear Algreba “Matrix” math, you can solve
for the Steam and Reflux flow required to achieve
the desired Top_Temp and Bottom Temp.
8. MPC Process Models
Process Models
“Process” Inputs “Process” Outputs
MV’s & DV’s CV’s & LV’s
Process models are derived from
observed step tests of the variables.
Model ID
8
9. MPC – Dynamic Controller
MV – Hot Water Process Models CV-Temperature
MV – Cold Water CV-Flow Rate
CV-Temp CV-Flow
V – Hot Water : 1 Turn Open = +1 Deg F. +1 GP
V –Cold Water : 1 Turn Open = -1 Deg F. +1 GP
Setpoint Changes MV Changes
Temp Flow Hot Cold
+1 F +1 GPM +1 T 0 T
+1 F -1 GPM 0 T -1 T
0 F +1 GPM +1/2 T +1/2 T
Etc.
10. Model Predictive Control
Here is how it works:
Predicts current control and constraint parameters based on past adjustments. Effect of measured
disturbance parameters is incorporated into the control and constraint parameter predictions
Learns From The Past
automatically. Learns From The Past
To Predict The Future
To Predict The Future
Modeled
Controlled Predicted Errors
Relationship
setpoint
reference trajectory
Controlled prediction
t
0
past future
Manipulated
t
0
11. Selecting Variables for the
Dynamic Controller
PredictPro – Application to determine process
models, setup and tune the MPCPro Block
Automatically selects the variables to
be in the Dynamic Controller
12. Selecting Variables for the
Dynamic Controller
Uncheck this to manually select the
variables to be in the Dynamic Controller
Condition < 1000
13. Tuning the Dynamic Controller
CV and LV - Penalty on Error
– Default 1.0
– Usually minor change like 0.8 to 1.2
– Integrating variables usually less than 0.5
– Some special optimization applications use ~0.1
MV – Penalty on Move
– The Predict or PredictPro application sets the
default
– Usually move by 25-50% of current value
14. The Optimizer
Consider a cruise (speed) controller for your
car that can manipulate BOTH the accelerator
and the brake. This would be an MPC, 2-
MV’s, 1 -CV.
So, to hold 50% speed, the MPC could…
– Accelerator = 50%, Brake = 0%
– Accelerator = 100%, Brake = 50%
– Accelerator = 80%, Brake = 30%
– Etc.
But, if we “Optimize” to “Minimize” Braking…
– Accelerator = 50%, Brake = 0%
15. MPCPro - Built-in LP Optimization
F
deg
120
50
ps
i
100% position
Maximized
100% position
Maximized Energy
Minimized Profit
0% position
10
0
Throughput
ps
i
eg F
80 d
0% position
16. The Economic Problem
Objectives: Solution:
– Process Dependent – Economic cost function –
• Maximize throughput penalty factors
• Maximize yield – Utilize all Degrees of
• Minimize “giveaway” Freedom
• Minimize energy • CVs
– Min
– Max
– Target
– None
• Constraints
– Min
– Max
– None
• MVs
– Min
– Max
– PSV
– Equalize
– None
18. Objective Function Configuration
Define multiple operating
modes
Select from list of controller variables
Set Max/Min and Price
Easy to set up and configure the built-in LP Optimizer
20. Optimizer and Dynamic Controller
Based on the selected Objective Function,
the Optimizer first calculates the “Target
Value” for the MV’s at the end of the Tss
Then, based on the Target Values for the
MV’s, the Optimizer calculates the value of
the CV’s and LV’s at the end of the Tss which
are now the “Target Setpoints” for the CV’s
and LV’s.
The Dynamic Controller moves the MV’s to
achieve the Target SP for the CV’s and LV’s
that are in Dynamic Controller
21. Optimizer and Dynamic Controller
“Show me the
money!”
1. Calculate
Target MV’s
2. Calculate
Target SP’s
for all CV/LV
3. CV/LV in
Dynamic
Controller are
controlled to
Target SP
22. Troubleshoot MPCPro
Using the Optimizer Dialogue (“show me the
money”), determine if the Optimizer is
calculating:
– Target MV’s moving in the correct direction
(increasing or decreasing)
– Target SP’s for the CV’s and LV’s that seem to be
correct (within the CV Setpoint range, within the
limits for LV’s, minimized or maximized, etc.)
If not, the Optimizer needs tuning for such
things as Value/%, Priority, OptType, Min/Max
23. Troubleshoot MPCPro
If the Optimizer is giving reasonable Target MV’s
and SP’s but MPC doesn’t control the CV/LV’s to
the Target SP’s, then then Dynamic Controller
needs tuning
– Typically the MV’s Penalty on Move (POM) is too high.
Reduced the POM for each MV 25-50%.
– May need to adjust the Penalty on Error (POE) for one
or more of the CV/LV’s that are in the Dynamic
Controller. To get more aggressive control of a CV/LV,
increase the POE to 1.1 or 1.2 (0.8 or 0.9 to reduce
aggressiveness).
– Generate and download for these changes. Can use
MPCPro Simulate to test.
24. Business Results Achieved
Quickly pinpoint the reason your MPC
application is not performing to expectations
These techniques will help you quickly tune
your MPC applications and received benefits
much sooner
There are many “small” MPC projects that be
implemented easily with DeltaV embedded
MPC technology that have a great ROI
25. Summary
DeltaV MPCPro has an Optimizer and a
Dynamic Controller
To get the desired performance, tune the
Optimizer first
Once the Optimizer provides the correct
Target SP’s for CV/LV’s, tune the Dynamic
Controller
Most MPC applications have a 1-6 month ROI
Questions?
26. Where To Get More Information
Other training sessions
– 8-2242 – DeltaV MPC – Small Project Yields Big Benefits!
– 8-2064 – PredictPro Tips
– Exhibit area – APC Booth, Distillation Solutions Booth
Other information sources
– Blevins, T. L., McMillan, G. K., Wojsznis, W. K.
and Brown, M. W., Advanced Control Unleashed,
– Emerson Education Services Courses
Consulting services
– Emerson Process Management, Industry
Solutions Group -
http://www2.emersonprocess.com/en-US/brands/process
Editor's Notes
Main Points: DeltaV PredictPro uses an embedded LP Optimization algorithm to find the most profitable operating point. In this example, the feasible region is shown in blue, which is bounded by both MV and CV limits. The LP optimizer will find the most profitable operating point which will always occur at the intersection of operating limits. In many process operations, the optimum may change based on operating conditions and economic objectives. For example, one week you may be throughput limited and want to minimize energy consumption. Another week you may need to catch up on throughput and you’re not so concerned with energy. Or you may want to maximize profit based on both energy and throughput. Transition: With DeltaV PredictPro you can define multiple Optimization Objectives or Modes like Minimum Energy, Maximum Throughput, or Maximum Profit. Let’s see how.
Main Points: In the DeltaV Engineering Environment it is easy to select MPC Variables to be included in the optimization calculations. For each variable selected, the user specifies that unit cost and whether the control should maximize or minimize that variable. Up to five Optimization Modes can be defined.
Main Points: The Optimization Mode is displayed from the Operations Display and may be changed using a drop down menu provided you have configuration privileges. Transition: You can also view the Optimization configuration details and current operating conditions from an Optimization Detail Display.