Advanced Process Control

This course has been prepared to build on the concepts of process dynamics explored in our Process Control course. This course gives a practical introduction to the application of advanced control from the standpoint of modelling process dynamics and selecting an appropriate advanced control technique to reflect the process dynamics.

It is an intensive course which relies heavily on the use of many computer simulation practical examples to explore advanced control strategies. The course runs as a two day course assuming the important fundamentals of process dynamics are understood. A three day course to including the fundamentals of process dynamics can be provided. The course explores some of the advanced classical methods and techniques through hands-on testing of algorithm performance.

Course Description

This course has been prepared to build on the concepts of process dynamics explored in our Process Control course. This course gives a practical introduction to the application of advanced control from the standpoint of modelling process dynamics and selecting an appropriate advanced control technique to reflect the process dynamics.

It is an intensive course which relies heavily on the use of many computer simulation practical examples to explore advanced control strategies. The course runs as a two day course assuming the important fundamentals of process dynamics are understood. A three day course to including the fundamentals of process dynamics can be provided. The course explores some of the advanced classical methods and techniques through hands-on testing of algorithm performance.

Course Objectives

Building on a thorough understanding of the basics of control, each participant will be introduced to the continuation of our concept of the ‘control toolkit’ such that they understand and can apply the appropriate advanced control technique where basic control can’t cope with complex process dynamics and interaction.

At the end of the course delegates will be able to collect and analyse more complicated process data. Importantly, they will understand the ongoing demands of model based control techniques, and hence understand why model based control, whilst technically interesting, is useless without solid regulatory control as a basis. They will understand non-linear behaviour and be able to apply adaptive control techniques to compensate, as well as an appreciation of how to control non self-regulating processes.

Delegates will be able to apply model based feed forward techniques to decouple control interactions. Participants will also be able to be able to design and tune model based techniques such as the smith predictor control system, Dynamic Matrix Control and other mutli-variable Model Predictive Control techniques.

Course Leader

Howard Thomas has a particular passion for Operational Excellence, which he believes has to be complemented by the competency of individuals. He developed these beliefs through a combination of direct industry operations experience with Dow Chemicals as a technician and with Exxon Chemicals as an engineer, and subsequently working with numerous consultancy and training clients all over the world.

He believes a sense of ownership and belief that you can make a difference in the organisation is essential to excellence, and that in turn inspires the pursuit of skills and tools mastery.

Howard is a highly sought after technical training specialist with twenty years of direct training experience during a thirty year career.

Course Schedule

DAY 1

TIME EVENT NOTES
8.30am Meet & Greet Tea & Coffee
Introduction: Avoiding Model Based Control
Introduction: Advanced Understanding of Process Dynamics
10.00am Break Morning Tea
Demystifying Theory: Non Linear Behaviour
Demystifying Theory: Integrating Processes
12.00pm Break Lunch
Control Dynamics: Impact of Dead Time
Smith Predictor
2.00pm Break Afternoon Tea
Programming Controllers: Choice of Algorithms, Different forms of PID, Adaptive, Error Squared
Programming Controllers: Anti Reset Wind Up
Programming Controllers: Bumpless Transfer
5.00pm Close out day 1

DAY 2

TIME EVENT NOTES
8.30am Meet & Greet Tea & Coffee
Introduction: Model Based Control
Classic Models: Rykamps, 3 Elements,
10.00am Break Morning Tea
Multivariable Control: Interaction
Multivariable Control: Decoupling
12.00pm Break Lunch
Feed forward Control : Model Based
2.00pm Break Afternoon Tea
MPC: DMC
MPC: MIMO
5.00pm Close out day 2