Performance of Hybrid Fuzzy and Fuzzy Self Tuning PID Controller for any Order Transfer Function

In any of the control application, controller design is the most important part. There are different types of controller architectures available in control literature. The controller can be conventional in nature or can be intelligent in nature. The conventional controller doesn’t possess the human intelligence; where in the intelligent controller human intelligence is embed with the help of certain soft computing algorithms. After the design of controller is performed, the performance evaluation part comes in to light. The designed controller has to give optimal control results irrespective of every situation like plant and equipment non linearity, equipment saturation. The fuzzy logic based controller meets the control objective. During the design of fuzzy based hybrid controller, the designer meets two key design challenges namely, optimization of existing fuzzy rule base and identification, estimation of new membership function or optimization of existing membership function. These issues play a vital role in controller design in real time. In real time controller hardware design there is memory and computational power constraints, so a designer needs to optimize these two design aspects.For optimization of existing mamdani based fuzzy rule base, a genetic algorithm approach is used and for identification and estimation of fuzzy membership function, a neural network based approach is used.