Optimization of Cogging Torque Based on Hybrid Genetic Ant Colony Algorithm

The PM has many advantages such as high output torque, high efficiency and low noise. However, it is possible to observe the slot effect, resulting in noise and vibration, which will influence the precision of the machine. To reduce the cogging torque of PM motor, a 24-slot 4-pole electrical machine was used as an example. First, we use a method of energy to analyze the generation mechanism of the cogging torque, and then choose the best parameters, including pole arc, air gap, pole offset, PM thickness, and slot hole width. Lastly, we select the most important parameters to optimize. After matching the appropriate mathematics model, we apply the mixed GA to search for the limitation of the model. On the basis of the simulated results of the FEM analysis of the engine model with an optimal solution, the cogging moment of the motor can be decreased by 82.16%, the efficiency improved by 1.6 percent and the torque pulse decreased by 8.2%.