Comparative Assessment of Controller Strategies in Induction Motor Drive Modeling

Abstract

Induction motors, the driving force of electric drive systems, are detailed in this article along with their many industrial uses. Efforts to enhance motor performance have led to the development and implementation of numerous control approaches and controllers. Various controller-based modeling methodologies for induction motor drives are examined and compared in this dissertation.

From the stator side, methods for controlling the speed of a three-phase induction motor include adjusting the frequency or voltage, changing the number of poles in the stator, Adding a rheostat to the stator circuit and controlling the supply voltage to allow for frequency control and one V/F control while the motor is running; other methods are implemented before IM starting. The ratio of voltage to frequency allows one to modulate the speed. The traditional approach for activating control of this technology is PID. Notable control methods are examined here, including Proportional (P) controllers, Integral (I) controllers, Proportional-Integral (PI) controllers, Proportional-Derivative (PD) controllers, and Proportional-Integral-Derivative (PID) controllers. The methods are evaluated according to their effectiveness in controlling induction motor drives' speed, torque, and energy consumption.

The study models and simulates the controller using MATLAB Simulink 2020A to assess its flexibility and robustness under various operating conditions and load profiles. Using performance metrics including energy usage, steady-state accuracy, and transient responsiveness, we statistically assess each controller's efficacy.