Title :
Genetic algorithm based optimal design of fuzzy logic controller for active magnetic bearings
Author :
Reddy, Anand Shivanappa ; Agarwal, Praveen Kumar ; Chand, Satish
Author_Institution :
Dept. of Mech. Eng., MNNIT, Allahabad, India
Abstract :
The performance of fuzzy logic controller (FLC) depends on the experts´ knowledge for tuning its parameters. In the present work to automate this process, genetic algorithm (GA) based optimized FLC design is proposed. FLC is designed for the contactless active magnetic bearing (AMB) having nonlinear characteristics. Membership functions of FLC are tuned by GA based optimization process. The performance of the optimized FLC is compared with PD controller and manually tuned FLC for various initial displaced positions of the AMB rotor.
Keywords :
control system synthesis; fuzzy control; genetic algorithms; magnetic bearings; magnetic variables control; nonlinear control systems; AMB; FLC; GA; active magnetic bearing; fuzzy logic controller design; genetic algorithm; membership function; nonlinear characteristic; parameter tuning; Genetic algorithms; Niobium; Rotors; Sociology; Statistics; Steady-state; Tuning; Active magnetic bearing; fuzzy logic controller; genetic algorithms; optimization;
Conference_Titel :
Power, Control and Embedded Systems (ICPCES), 2014 International Conference on
Print_ISBN :
978-1-4799-5910-5
DOI :
10.1109/ICPCES.2014.7062812
