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On-line multiobjective automatic control system generation by evolutionary algorithms

By Paul Stewart, D. A. Stone and P.A. Fleming

Abstract

Evolutionary algorithms are applied to the on- line generation of servo-motor control systems. In this paper, the evolving population of controllers is evaluated at run-time via hardware in the loop, rather than on a simulated model. Disturbances are also introduced at run-time in order to pro- duce robust performance. Multiobjective optimisation of both PI and Fuzzy Logic controllers is considered. Finally an on-line implementation of Genetic Programming is presented based around the Simulink standard blockset. The on-line designed controllers are shown to be robust to both system noise and ex- ternal disturbances while still demonstrating excellent steady- state and dvnamic characteristics

Topics: H660 Control Systems, G700 Artificial Intelligence, G760 Machine Learning, H600 Electronic and Electrical Engineering
Publisher: IEEE
Year: 2006
OAI identifier: oai:eprints.lincoln.ac.uk:2198

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