Tuning of PID controller by bioinspired techniques

PID controllers have been extensively used for a long time for the purpose of process controls.Efficient methods for tuning of PID controllers is still a challange to designers. This project work is based on the development of PID controller for a low damping plant using Bio inspired evolutionary soft computational techniques.We have implemented Particle Swarm Optimization and Bacterial Foraging Optimization techniques to tune the parameters of the PID for a fifth order low damping plant and have done a comparative study of the performance of both the techniques