16 - 20 September 2019

Course details

  • Duration: 5 days
  • Fees:
    - per module £2000
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**Pre-requisites: To undertake this module, it is recommended that applicants take the ‘Modelling and Simulation’ and ‘Modern Control Systems Design’ modules which are also offered via the CPD route**

Module leaders

Jon Love, Sean Goodhart, Kevin Morrison, Dr Andrew Trenchard, Glyn Westlake

More information

Course aims

To provide an in-depth understanding of the principles underlying various techniques of optimisation and scheduling, real-time or otherwise, and to develop a grasp of the issues involved in applying them in the process industry. 

Learning objectives

  • To appreciate the distinction between and essential characteristics of steady state optimisers and dynamic optimising controllers. 
  • To develop a quantitative understanding of the principles of optimisation and scheduling. 
  • To become familiar with a range of optimisation and scheduling techniques, such as the use of LP, QP and GA methods. 
  • To appreciate how optimisers and schedulers handle objectives, physical and operational constraints. 
  • To develop a feel for the realisation of optimisers and schedulers, both real-time and off-line, in an industrial context. 
  • To appreciate the functionality of proprietary industrial optimisers and schedulers. 

Course structure

This module is of one week's full-time intensive study consisting of a variety of lectures, informal tutorials for problem solving, structured computer-based laboratory work and demonstrations. The time allocation for practical work provides for Excel and/or Matlab based demonstrations and exercises designed to reinforce the taught materials.