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Evolutionary design of process controllers

Lookup NU author(s): Dr Dominic Searson, Dr Mark Willis, Professor Gary Montague


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The Genetic Programming (GP) architecture offers a potentially powerful framework for 'intelligent' controller design due to its inherent matching of structure to utility. This article describes the use of GP to design discrete time single loop controllers for two different processes: a linear Auto-Regressive eXogeneous (ARX) type system and a non-linear simulated Continuous Stirred Tank Reactor (CSTR), both with constraints on the actuator outputs. It is demonstrated that the GP methodology is capable of designing recursive controllers that, for a specific class of control objectives, offer similar performance to PID controllers on the nominal systems. The advantages and disadvantages of controllers designed in this way are also discussed.

Publication metadata

Author(s): Searson D, Willis MJ, Montague GA

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: UKACC International Conference on Control 1998

Year of Conference: 1998

Pages: 1456-1461

Publisher: IEEE Conference Publication

Library holdings: Search Newcastle University Library for this item

ISBN: 085296708X