Controller Parameter Optimization for Nonlinear Systems Using Enhanced Bacteria Foraging Algorithm

الملخص EN

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.