Improved Performance of Fuzzy Logic Controller to Control Dynamical Systems: A Comparative Study

The performance assessment of different conventional and fuzzy logic controllers employed with an aim to have a good transient response is presented. There are various types of controllers available in control literature. The controller can be either conventional or intelligent in nature. Fuzzy controllers come under the category of intelligent controllers. The parameters of the practical systems may change during operating conditions and under such a situation, the conventional controller fails to give an anticipated performance. This motivates to use a fuzzy controller which not only improves the step response performances but also solve problems containing uncertainties and vagueness with high nonlinearities. Since the tuning of fuzzy controller is very difficult and time-consuming, so a novel tuning method based on optimization technique that is Particle Swarm optimization has been implemented to get the optimized scaling factors in order to get better performance in terms of rise time, settling time and overshoot.