Title :
Genetic Fuzzy Gain Schedule for a Non-Linear Valve
Author :
Kaur, Devinder ; McGilvery, Sam A. ; Ghandakly, Adel A.
Author_Institution :
EECS, Toledo Univ., OH
Abstract :
Achieving a robust system for control of a non-linear process is the driving factor of adaptive controls. The design presented in this paper attempts to utilize a genetic supervisor on a fuzzy gain schedule controller to obtain performance similar to a self tuning regulator. This design is simulated through the use of the Matlab genetic algorithm toolbox
Keywords :
adaptive control; control system synthesis; discrete event systems; fuzzy control; genetic algorithms; mathematics computing; nonlinear control systems; self-adjusting systems; valves; Matlab genetic algorithm; adaptive control; genetic fuzzy gain schedule; genetic supervisor; nonlinear valve; self tuning regulator; Adaptive control; Algorithm design and analysis; Control systems; Fuzzy control; Genetics; Nonlinear control systems; Performance gain; Regulators; Robust control; Valves; adaptive; control; fuzzy; genetic;
Conference_Titel :
Fuzzy Information Processing Society, 2006. NAFIPS 2006. Annual meeting of the North American
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0362-6
Electronic_ISBN :
1-4244-0363-4
DOI :
10.1109/NAFIPS.2006.365867
