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Research Article Open Access
Proportional-Integral-Derivative (PID) Controllers plays a significant role in many industrial and commercial applications. Designing of PID controller is always a challenging problem especially for high order systems. It is known that PID Controller is employed in every aspect of industrial automation. The PID Controller applications are spanned from small industry to higher technology industries. Hence, the problem is always how to optimize the PID Controller. Generally, initial designs obtained by all means need to be adjusted repeatedly through computer simulations until the closed-loop system performs or compromises as desired. This simulation involves the development of “intelligent” tools that can assist engineers to achieve the best overall PID control for the entire operating range. Self-tuning method for PID Controller using Evolutionary Computational (EC) Techniques capable of providing robust design. In this paper two types of tuning methods are presented, namely Genetic Algorithm and Modified Interactive Evolutionary Computation Method. The results obtained by them based on velocity control of DC motor and harmonic analysis are analysed and a comparative study of the two are presented.