Robust Torque Control for Induction Motor Drives Using Fuzzy and PID Control

Induction motors have become an impartible piece of industrial components, and how their parameters are adapted for each state of the task and the accuracy in remaining in a particular condition directly influence the entire system's performance. As a result, the combination of electrical motors and controller designing knowledge plays a key role in achieving accurate and fast industrial equipment. Drivers are introduced and advanced to accomplish this goal. Among Drivers' duties, speed and torque controls are the most important ones, and considerable attention has been paid to designing methods to monitor and manage this parameter. Various ways have been proposed for controlling an inductor motor. This paper simulated a three-phase motor, and a super twisting, sliding mode control (STSMC) is presented to control speed-related parameters. In addition, considering robustness and evaluating the designed system's reliability, uncertainties and external disruptive parameters are modeled, and the system will face an approximately real situation while being tested. To face disturbances and provide stable performance in such conditions, Lyapunov's theory is employed. In terms of torque control, a direct method is employed, based on two of the most well-known controllers, fuzzy and PID. In this section, PID is the controller's core, and the fuzzy system tunes the PID parameters. This cooperation of controllers is also tested on a simulated system in the MATLAB platform. The extracted results clearly show the superiority of the suggested design comparing previous methods.