A radial basis function network for online tuning nonlinear coupling among its winding currents and the rotor of a genetic based fuzzy logic controller for interior permanent speed as well as the nonlinearity present in the electromagnet synchronous motor drive over wide speed range is magnetic developed torque due to magnetic saturation of presented in this paper. Initially different operating conditions the rotor core [5]. Because of these nonlinear natures of the are obtained based on motor dynamics incorporating uncer-IPMSM, an intelligent controller demands special attention tainties. At each operating condition, a genetic algorithm is '. used to optimize fuzzy logic controller parameters in closedfor precise speed control of high-performance drive loop vector control scheme. In the other words, the genetic systems.algorithm finds optimum input and output scaling factors and The use of Artificial Neural Network (ANN) alone to optimum number of membership functions. This optimization design a controller for IPMSM drive might be insufficient, procedure is utilized to obtain the minimum speed deviation, if the test inputs used to generate training input/output pairs minimum settling time, and zero steady-state error. A radial are not rich enough to excite all modes of the system. On basis function network is used for online tuning of a fuzzy logic the other hand, Fuzzy Logic Controllers (FLCs) are subjeccontroller parameters (input and output scaling factors and tive and somewhat heuristic. In previous cases, the number of membership functions) to ensure optimum drive determination of fuzzy rules, input and output scaling performance under different disturbances. factors, and the choice of membership functions depend on trial-and-error that makes the design of FLC a timeconsuming task [6]. To overcome this problem, a Genetic
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