Optimization of PD-PI Controller Using Swarm Intelligence

Sensitivity and Robustness is the primary issue while designing the controller for non-linear systems. One of the performance objectives for controller design is to keep the error between the controlled output and the set-point as small as possible. A comparison between Evolutionary Algorithms namely GAs (Genetic Algorithms), and Swarm Intelligence, i.e., PSO (Particle Swarm Optimization) and BG (Bacterial Foraging) has been carried out on the basis of performance indices: ITAE (Integral Time Absolute Error), ISE (Integral Square Error), IAE (Integral Absolute Error) and MSE (Mean Square Error) and settling time. In this paper, the idea of model generation and optimization is explored for PD-PI controller. Most commonly known, the highly nonlinear Inverted Pendulum system is used as a test system for this approach. The simulations are tabulated in section IV to analyze which technique gives promising results for the system. Copyright c © 2008 Yang’s Scientific Research Institute, LLC. All rights reserved.