Improvement in Dynamic Response of Electrical Machines with PID and Fuzzy Logic Based Controllers
Mallesham Gaddam, K. B. Venkata Ramana · 2007
Abstract — Fuzzy logic or Fuzzy set theory is given much emphasis in recent years especially in power electronics based control applications. Fuzzy logic has met with growing interest in many motor control applications due to its non-linearity, handling features and independence of plant modeling. This paper describes application of fuzzy logic in speed control system for Electrical Machines: DC motors and AC Induction motors. The design of fuzzy logic controlled for Electrical Machines are very similar. The controller designed is based on proportional, Integral and derivative fuzzy reasoning. It directly transforms the inputs: speed error and its rate of change to the output quantity and fuzzy logic speed controller is employed in the outer loop. The complete scheme of the Electrical machine incorporating the FLC is implemented using MATLAB (Math works). The performances of the electrical machines are investigated with (PID) controller for different operating conditions. The response including a fuzzy logic controller is also obtained. The comparison of results shows that the controller with FLC is more robust and hence found to be a suitable addition to the conventional PID controller for high performance industrial drive applications.