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DIA11-SP Advanced Industrial Automation - Advanced Process Control for Engineers and Technicians

  • Duration:
  • Investment: US$ 149.00

Must complete all lessons




Applications ranging from the process industries to the automotive and the communications sector are making increased use of Model Predictive Control(MPC), where a fixed control law is replaced by on-line optimization performed over a receding horizon.  The advantage is that MPC can deal with almost any time-varying process and specifications, limited only by the availability of real-time computer power. This course is designed to help students to understand the basic principle and operation of model predictive control and its optimization. After completing this course, students will have sound knowledge on the basic concepts of model-based control and its applications.



  • Process Control Engineers
  • Process Engineers
  • Instrumentation technicians
  • Supervisors
  • Production managers
  • Electrical engineers
  • Project engineers
  • System design engineers
  • Consulting Engineers
  • Engineering managers
  • Maintenance Engineers/technicians




  • Advance control techniques
  • Multivariable
  • Examples of multivariable control



  • IMC Structure
  • IMC block diagram
  • Feed forward control
  • Feed forward combined with feedback control
  • Ratio control



  • Optimal operation and Constraints
  • What is MPC?
  • Transfer function



  • Black vs grey box models
  • Causality graphs
  • MPC observer
  • MPC control



  • Contents
  • Handling of set point controlled variables
  • Rejection of measured and unmeasured disturbances
  • Control problem formulation



  • The Receding horizon
  • Receding horizon approach
  • Control problem formulation



  • Problems due to deadtime
  • Deadtime compensation
  • Block diagram of the compensator
  • Criteria for successful implementation



  • Mixed integer quadratic program
  • Example-Rectification column



  • Simulation example
  • Deadtime compensation results
  • From equation to block diagram



  • Fundamental MPC
  • Steady state optimization
  • Degrees of Freedom and rationale for optimization
  • Submission of economic output to the setpoint
  • Slogans for maximization and minimization



  • The horizon for economic variables



  • Example 2: APC application in food industry-reduction in moisture variability
  • How to change the control formulation problem



Plan Name Investment
Unlimited Access for 2 Years: US$ 149.00


John Piperides

BE Electrical


John is a professional electrical engineer with over 25 years experience in industrial maintenance, production, management, sales and improvement. He has held management positions in several manufacturing and sales companies. His diverse responsibilities have included contract negotiation, authoring and responsibility of departmental budgets, daily management of over 20 reports, practice of cGMP, auditing in a pharmaceutical plant, and system administration and programming of diverse IT and embedded systems. He has been directly involved with industries including building management, pest control, mining, power utilities, food, pharmaceutical, steel, building products, sugar, paper and pulp, rail and airports.

John has completed many years of further education including developing, writing and delivering many work based courses and seminars. He has spent 10 years as a part time teacher at TAFE in electrical engineering, and 15 years delivering structured courses in thermography, power quality, instrument safety, motor drive theory, PLC, SCADA, and pest inspection

Courses by this presenter

Name Level Release Date
SX-SP Practical SCADA Systems for Industry 14-09-2015
LA-SP Engineering Leadership 21-09-2015
AU-SP PLC's for Automation and Process Control 22-10-2015
PJ-SP People Management Skills for Engineers and Technicians 03-11-2015
COG-SP Electrical and Instrumentation Engineering in Oil and Gas 17-12-2015
CAW-SP Australian and New Zealand Electrical Wiring Standards - AS3000:2007 05-01-2016
LT-SP Tuning of Industrial Control Loops 15-01-2016
PM-SP Project Management 15-01-2016
SS-SP Safety Instrumentation Systems and Functional Safety for the Process Industries 28-01-2016
DIA1-SP Advanced Industrial Automation - Instrumentation, Automation and Process Control 12-02-2016
DIA7-SP Advanced Industrial Automation - Process Control 16-02-2016
BNI2-SP Industrial Instrumentation and Control for Non-Instrument Personnel 16-02-2016
DIA8-SP Advanced Industrial Automation - Tuning of Industrial Control Loops 16-02-2016
BSQ-SP Fundamentals of Instrumentation, Process Control, PLCs and SCADA for Plant Operators and Other Non-Instrument Personnel 17-02-2016
DIA10-SP Advanced Industrial Automation - PLCs for Automation and Process Control 18-02-2016
DIA11-SP Advanced Industrial Automation - Advanced Process Control for Engineers and Technicians 18-02-2016
DIA-SP Specialized Engineering (Industrial Automation) 25-02-2016
BAU-SP Advanced Programmable Logic Controllers for Industry 25-02-2016
MCD1-SP Fundamentals of Process Measurement 25-02-2016
BCIIP-SP Relay Theory and Basic System Protection 16-03-2016
MCD4-SP Process Measurement - Hazardous Areas 04-05-2016
MCD2-SP Process Measurement - Use and calibration 04-05-2016
SAK-SP Swiss Army Knife of Videos on Engineering Skills 08-06-2016
LA2-SP Engineering Leadership - Personal leadership 21-09-2015
LA5-SP From Engineer to Leader - Conflict Management Skills 21-09-2015
LA6-SP From Engineer to Leader - Creativity and Problem Solving 21-09-2015
PJ4-SP People Management Skills - The Four Behavioural Styles 03-11-2015
PJ8-SP People Management Skills - Team Motivation 03-11-2015
PJ6-SP People Management Skills - Effective Communication 03-11-2015
PJ9-SPPeople Management Skills - Effective Time Management 03-11-2015
CAW3-SP Regulations of AS NZS 3000-2007 05-01-2016
SAK10 - Fundamentals of Specialised Engineering 05-07-2017

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