Controller Parameter Optimization for Nonlinear Systems Using Enhanced Bacteria Foraging Algorithm

Autor: V. Rajinikanth, K. Latha
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: Applied Computational Intelligence and Soft Computing, Vol 2012 (2012)
Druh dokumentu: article
ISSN: 1687-9724
1687-9732
DOI: 10.1155/2012/214264
Popis: 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.
Databáze: Directory of Open Access Journals
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