This module continues from the Year 2 module, Process Measurement, Dynamics and Control, broadening the coverage to include modern controller tuning methods and higher level control strategies.
Instead of on-line trial and error tuning or correlation based tuning formulae, students will learn the basics of model based tuning methods (Synthesis Equation). They will also learn about feed-forward, cascade and ration control strategies – the rationale and when they should be applied.
The control of a unit process typically requires several variables to be controlled and invariably, there are interactions between the control loops which can cause stability problems. This part of the module therefore concentrates on multi-input multi-output systems; determining whether loop interactions will cause problems and if they do, design appropriate decoupling networks.
Finally, the case of product quality control will be considered. Usually, the entities by which manufactured products are sold are difficult to measure on-line, e.g. stickiness of glue, viscosity of lubricants, etc. This prevents the implementation of automatic control systems with attendant loss of product consistency and quality. Students will learn about inferential control which is a technique which can be used to alleviate such measurement problems.