GA based PID controller: Design and Optimization

As evolution in a natural tendency is extensive, in which the optimization technique like Genetic Algorithm (GA) has become the ubiquitous method. Generally, different controllers exist, where in the PI controller is widely used for its characteristics but due to its trial and error-based selection of parameters, where it has faced many challenges in achieving the optimization. So, there requires the search method called GA, which works on the concept of genetics and due to the iterative procedure and method that gives the improved result. The fitness function considered for every generation is based on the three aspects: Selection, crossover and mutation that achieves the optimizing process. Also, optimization is done on the theory of minimum mean square error [MMSE] to obtain the performance evaluation. This paper has implemented a control strategy for GA based PID and compares the proposed method with the classical Zeigler-Nichols [Z-N] method. The time specifications are noted and comparison is made between the proposed and existing method. It is observed that, the proposed method gives quick and accurate response with minimum steady state error.