EXPERIMENTS IN FUZZY CONTROLLER TUNING BASED ON AN ADAPTIVE GRAVITATIONAL SEARCH ALGORITHM
Radu‐Emil Precup, Radu‐Codruţ David, Emil M. Petriu, Ștefan Preitl, Vasile Parvan · 2013
This paper presents aspects concerning the implementation of an adaptive Gravitational Search Algorithm (GSA) in the optimal tuning of fuzzy controllers. Takagi-Sugeno-Kang proportionalintegral fuzzy controllers (TSK PI-FCs) are designed and tuned for a class of nonlinear servo systems. The adaptive GSA is based on five stages to solve the optimization problems with objective functions which depend on output sensitivity functions. TSK PI-FCs with a reduced process parametric sensitivity are thus offered. A set of illustrative experiments is given to validate the fuzzy controller tuning in a laboratory servo system application.