DocumentCode :
306894
Title :
Genetic design of robust PID plus feedforward controllers
Author :
Jones, AH ; Ajlouni, N. ; Lin, Ying-Chin ; Kenway, S.B. ; Uzam, M.
Author_Institution :
Intell. Mach. Div., Salford Univ., UK
Volume :
1
fYear :
1996
fDate :
18-21 Nov 1996
Firstpage :
267
Abstract :
Evolutionary techniques are proposed in a new and novel paradigm to solve the problem of designing a robust fixed PID plus feedforward controller for a plant with prescribed plant parameter uncertainties. The evolutionary scheme used involves generating two separate populations, one representing the controller and the other the plant. The controller population is then evolved against a fixed population of plants representing the uncertainty space, such that the controller can control all these plants effectively. A cost function involving time-domain performance is then deployed, subject to a frequency domain stability constraint. The resulting paradigm results in a robust controller design with excellent time domain performance. This evolutionary approach is illustrated by evolving a PID plus feedforward controller for a linear plant which has a set of prescribed uncertainties
Keywords :
control system synthesis; feedforward; frequency-domain analysis; genetic algorithms; robust control; three-term control; time-domain analysis; uncertain systems; PID control; cost function; evolutionary techniques; feedforward controllers; frequency domain stability; genetic algorithm; genetic tuning; plant parameter uncertainty; robust control; time-domain performance; uncertainty space; Control systems; Cost function; Genetic algorithms; Machine intelligence; Machinery; Robust control; Robust stability; Robustness; Three-term control; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies and Factory Automation, 1996. EFTA '96. Proceedings., 1996 IEEE Conference on
Conference_Location :
Kauai, HI
Print_ISBN :
0-7803-3685-2
Type :
conf
DOI :
10.1109/ETFA.1996.573304
Filename :
573304
Link To Document :
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