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On-line multiobjective automatic control system generation by evolutionary algorithms

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3 Author(s)
Stewart, P. ; Dept. of Electron. & Electr. Eng., Univ. of Sheffield, UK ; Stone, D.A. ; Fleming, P.J.

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 produce robust performance. Multiobjeciive 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 external disturbances while still demonstrating excellent steady-state and dynamic characteristics.

Published in:

Industrial Electronics, 2004 IEEE International Symposium on  (Volume:2 )

Date of Conference:

4-7 May 2004