Permanent Magnet Synchronous Motor (PMSM) Speed Response Correction Using Fuzzy-PID Self-Tuning Controller Under Sudden and Gradual Load Variation
Vahid Teymoori,
Nima Arish,
Mehdi Moradi,
Pedram Ghalebani
Issue:
Volume 6, Issue 2, December 2022
Pages:
46-58
Received:
1 November 2022
Accepted:
1 February 2023
Published:
9 February 2023
Abstract: The development and improvement of the control of electric motors has drawn the researchers' attention to the implementation of all types of controllers in motors, especially the permanent magnets, because of advantages such as high-power density in lower volumes, lower losses, higher efficiency, high speed performance range and etc. in comparison with other motors, as well as extensive use in the industries including robotics, military, medical, and so on. These motors are a suitable replacement for popular motors, such as induction and reluctance, due to their good characteristics. Permanent magnet motors are subject to considerable disturbance during sudden load removal; irrespective of the type of controller implemented, the gradual load variation in the system in comparison with sudden changes, introduces less disturbance to the system. In this research, a thorough investigation of the performance of a permanent magnet synchronous motor (PMSM) under different load conditions is presented. In order to improve the motor's behavior using two types of self-adjusting FPID and NFPID controllers and PID controllers, performance quality is compared with each other in different load conditions. The simulation results show that the unpleasant behavior created during the sudden change of the FPID controller has been improved.
Abstract: The development and improvement of the control of electric motors has drawn the researchers' attention to the implementation of all types of controllers in motors, especially the permanent magnets, because of advantages such as high-power density in lower volumes, lower losses, higher efficiency, high speed performance range and etc. in comparison ...
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