Permanent brushless dc motors have been used in many areas. Considering to their vast advantages,\nresearchers have studied extensively for speed control and reducing the torque ripple of this motors. But a\nlittle study was done for both speed control and optimum design of them. This paper presents for the\noptimal design of a PMBLDC motor with goal of reducing volume and building cost. In addition the speed\ncontrol aim is considered using a multi-objective nonlinear cost function which is solved by fuzzy particle\nswarm optimization. First characteristics of motor are expressed as functions of motor geometries. Then\ncost function which combines the step response characteristic of motor speed, building cost and its volume\nis constructed and minimized. To reach this goal in this application the new improved fuzzy particle swam\noptimization is used for the first time. The results of simulations show that this method has good ability\nand efficiency in reaching global best point in compare of GA and PSO methods.
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