Abstract

There are a number of controllers available for monitoring different characteristic of electric machines. Deciding on the choice of controller depends on its efficiency and parameter to be controlled. This research hence investigates and compares the performance of Proportional-Integral-Derivative (PID) and Fuzzy Logic Controllers (FLC) for speed control of asynchronous machine within an industrial plant. The asynchronous machine system was modelled mathematically and both controllers are designed and implemented for simulation. Settling time, overshoot, steady-state error, and robustness to disturbances are the key indicators which the comparative performance evaluation focuses. The results highlight the strengths and limitations of the controllers with emphasis on their adaptability to varying operating conditions and system parameters. Overall, this research offers a comprehensive analysis of PID and FLC in asynchronous machine speed control, providing a basis for informed decision-making in the design of control systems for industrial plants, with the ultimate goal of enhancing operational efficiency and performance.