An effective real coded GA based fuzzy controller for speed control of a BLDC motor without speed sensor

摘要

In this study, an effective Real Coded Genetic Algorithm(GA) based optimal fuzzy controller is proposed. The fuzzy controlleris used for sensorless speed control of a Brushless DC (BLDC) motor inDSP based application system. The advantages of adopting a real codedGA for the design and optimization of fuzzy controllers, which have agreat deal of design and optimization parameters, are analyzed.Having accomplished optimization of developed fuzzy control system, amulti-objective performance index has been defined and it has beenused as an objective function to be minimized in the real coded GA.Thus, the system can obtain optimal design parameters in a short timewithout the need of an expert assistance. Convergence of the controlsystem performance index and speed responses of the BLDC motor havebeen provided as a result of study. The obtained results indicatethat there is close agreement between simulation and experimentalresults.