Design and Tuning of Fuzzy Controller using Human Inspired Algorithm for Speed Control of PMSM
Tahar Nouaoui, Abdelhakim Dendouga, Abdelmalik Bendaikha · 2023
designing a decent controller for a speed control of an alternative current (AC) machine, such as the PMSM can be very challenging, the conventional PID and PI controllers are the most used in the industry, but they lack the robustness and the rapid response of A fuzzy controller(FC), the fuzzy controller however needs a very precise scaling of its inputs, outputs, and its membership functions (MFS), this could be done with some serious user experience, or via trial and error technique, which is very time consuming and inconsistent, in this paper a human inspired optimization algorithm called Sewing Training-Based Optimization (STBO) was used to tune the parameters of a specially designed FC, within an hour of tuning the obtained FC managed to achieve significantly better speed tracking, and produce way less current harmonics than the conventional PID and PI controllers.