A Genetic Based Fuzzy Logic Controller for IPMSM Drive Over Wide Speed Range

A radial basis function network for online tuning of a genetic based fuzzy logic controller for interior permanent magnet synchronous motor drive over wide speed range is presented in this paper. Initially different operating conditions are obtained based on motor dynamics incorporating uncertainties. At each operating condition, a genetic algorithm is used to optimize fuzzy logic controller parameters in closed- loop vector control scheme. In the other words, the genetic algorithm finds optimum input and output scaling factors and optimum number of membership functions. This optimization procedure is utilized to obtain the minimum speed deviation, minimum settling time, and zero steady-state error. A radial basis function network is used for online tuning of a fuzzy logic controller parameters (input and output scaling factors and number of membership functions) to ensure optimum drive performance under different disturbances.