Detent Force Suppression of Permanent Magnet Linear Motors for Auxiliary Teeth Optimization using Adaptive Single-Objective Optimization Algorithm

The permanent magnet linear synchronous motor (PMLSM) is extensively applied in precision machining due to its inherent advantages in achieving high thrust density and exceptional positioning accuracy. Nevertheless, the presence of end-effects in linear motors introduces significant detent force that counteract the requirements for heightened precision. This research commences by formulating the design of a PMLSM, subsequently employing finite element methods to optimize the motor. The optimization strategy addresses both the average thrust and the thrust ripple. Additionally, we investigate the impact of auxiliary teeth on the detent force within linear motors. Employing an adaptive single-objective optimization (ASO) algorithm, we optimize the auxiliary teeth parameters, resulting in a remarkable reduction of detent force ripple to a mere 0.18%.