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The main target of this paper is optimizing the slot-opening shift for cogging torque reduction in BLDC motors. In a slot-opening shift method there is no skew, therefore the known drawbacks of the skewing is prevented. In the first part of the paper the slot-opening shift method for a BLDC motor is discussed. In this case, it is desired to find a method for cogging torque reduction without deteriorating...
This paper introduces an optimal design process enable the optimized spoke-type interior permanent magnet synchronous motor (IPMSM) to effectively reduce the cogging torque by considering the torque and efficiency by maximum torque control. In the optimal design process, response surface method (RSM) combined with moving least square method (MLSM) and genetic algorithm (GA) were used. Furthermore...
This paper deals with the shape optimization of the BLAC motor, in order to reduce its cogging torque. The motor type is an interior permanent magnet motor, and the motor is designed for an electric power steering system application. In this application, a motor cogging torque is one of the most important parameter, and the shape optimization to reduce the cogging torque of the BLAC motor is accomplished...
This paper presents a statistical approach to the reduction design for cogging torque in a BLDC motor. In the approach, the finite element method, the numerical optimization technique, and the response surface methodology are effectively introduced. Additionally, the proposed approach provides the effective information to design engineers. Finally, the validity of this paper is verified by test.
Cogging torque results from the interaction of the rotor magnets acting on the stator teeth or poles independent of any current. It is desirable to reduce the cogging torque since it may cause speed ripple and vibration, particularly at light load and low speed. When the motor equipped ring magnet, it is very effective to reduce the cogging torque as changing only the magnetization patterns of the...
An adaptive response surface method with Latin hypercube sampling strategy is employed to optimize a magnet pole shape of large-scale brushless direct current (BLDC) motor to minimize the cogging torque. The proposed algorithm consists of the multi-objective Pareto optimization and (1+ lambda) evolution strategy to find the global optimal points with relatively fewer sampling data. In the adaptive...
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