Optimum Setting and Performance Evaluation of the Three Mode Controller Using Bio Inspired Soft Computing Algorithms

The best possible and desirable solution of the engineering problems can be found using optimization algorithms. The most widely used dc-dc converters are highly non-linear dynamical systems. Designing a control technique has been a most promising control area. One of the robust non-linear sliding mode controllers has been proved by researchers to be having large signal stability and providing good dynamic response. But the complicated design of the controller as well as the problems encountered during practical implementation gives rise to the necessity to design a controller which gives better performance than the former case and simple in structure and design. The traditional linear three mode PID (Proportional Integral Derivative) controllers which are the most common control algorithm in industries can be properly tuned so that they overcome the performance of the former case. The Bacterial Foraging Optimization Algorithm and Artificial Bee Colony Algorithm have been used for tuning purpose. The best optimization algorithm has been identified and the effectiveness of the PID controller tuned using the best optimization algorithm over the sliding mode controller has been proved.