Hybrid Fuzzy Algorithm for the Novel Yokeless Axial Flux-Switching Permanent-Magnet Motor

Flux switching permanent magnet synchronous motor (FMSM) has the characteristics such as large output torque, fast speed response and high reliability, so it can be widely used in the field of high-performance and high precision control.In the permanent magnet synchronous motor control system, the speed loop usually adopts the PI control algorithm. Although the PI control algorithm is relatively simple, there is a problem of adjusting the PI parameters, so the traditional PI also has limitations. However, the fuzzy controllers also have a big disadvantage. When the motor load suddenly increases, the fuzzy PI control has difficult to effectively eliminate the system steady-state error, so the control precision is not high, which is mainly due to the lack of integral effect controller. A new fuzzy PI control algorithm for a novel yokeless and segmented armature axial flux-switching sandwiched permanent-magnet motor (YASA-AFFSSPM) is proposed in this paper. In the conventional fuzzy PI control of the permanent magnet synchronous motor the torque ripple is large and the control accuracy is not high precise. A new fuzzy PI control algorithm is proposed to solve this problem, and a prototype of the YASA-AFFSSPM motor is fabricated and the method is tested. The experimental results demonstrate that the new fuzzy PI controller can improve the robustness of the system and improve the precision. Further, the dynamic performance of the YASA-AFFSSPM motor is excellent.