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Optimization of PID Controllers Using Evolutionary Algorithms

Domenii publicaţii > Stiinte ingineresti + Tipuri publicaţii > Articol în volumul unei conferinţe

Autori: Tushar Jain and M.J. Nigam

Editorial: Proceedings of NCMSTA'08, p.44-53, 2008.


In this paper, the idea of model generation and optimization is explored for PID controller using Evolutionary Algorithms. Keeping in mind the simplicity and robustness of a controller, a noninteracting structure i.e. PI-D controller is used for stabilizing the linear system on the basis of performance indices comprising ITAE (Integral Time Absolute Error), IAE (Integral Absolute Error), ISE (Integral Square Error), ITSE (Integral Time Square Error) and system overshoot. One of the performance objectives for controller design is to keep the error between the controlled output and set point as small as possible. It is observed that for any linear and nonlinear system having complete model description can easily be controlled using PID but the proper tuning of the parameters must be done. The optimization techniques used for tuning the parameters of PID controller are Z-N (Ziegler-Nichols) method, GA (Genetic Algorithm) and BF (Bacterial Foraging). A comparison of computational algorithms has been carried out using simulations to select a technique giving results according to the specifications taken into consideration.

Cuvinte cheie: PID Controller, Genetic Algorithm, Bacterial Foraging