Controller parameter optimization for nonlinear systems using enhanced bacteria foraging algorithm

Authors:
V. Rajinikanth;K. Latha
Affiliations:
Department of Electronics and Instrumentation Engineering, St. Joseph's College of Engineering, Chennai, India;Department of Instrumentation Engineering, Anna University, Chennai, India
Venue:
Applied Computational Intelligence and Soft Computing
Year:
2012

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Abstract

An enhanced bacteria foraging optimization (EBFO) algorithm-based Proportional + integral + derivative (PID) controller tuning is proposed for a class of nonlinear process models. The EBFO algorithm is a modified form of standard BFO algorithm. A multiobjective performance index is considered to guide the EBFO algorithm for discovering the best possible value of controller parameters. The efficiency of the proposed scheme has been validated through a comparative study with classical BFO, adaptive BFO, PSO, and GA based controller tuning methods proposed in the literature. The proposed algorithm is tested in real time on a nonlinear spherical tank system. The real-time results show that, EBFO tuned PID controller gives a smooth response for setpoint tracking performance.