Controller Parameter Optimization for Nonlinear Systems Using Enhanced Bacteria Foraging Algorithm. (27th September 2012)

• Record Type: Journal Article
• Authors: Rajinikanth, V.; Latha, K.
• Other Names: Moral Serafín Academic Editor.
• Is Part Of: Applied computational intelligence and soft computing. Volume 2012(2012)
• Publication Date: 2012-09-27
• Subjects: Computational intelligence -- Periodicals; Soft computing -- Periodicals; 006.305
• DOI: 10.1155/2012/214264
• Languages: English
• ISSNs: 1687-9724

Abstract

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.