Design of State Feedback Controller Based Bacterial Foraging Optimization Technique for Speed Control of DC Motor

Abstract

The aim of this work is to design state feedback controller based on bacterial foraging optimization (BFO) technique for speed control of separately excited dc motor (SEDM). The social foraging behavior of Escherichia (E. Coli) bacteria has been used to optimize the controller performance by tuning it's parameters (state feedback controller gains K1 & K2).The SEDM state space model is simulated using MATLAB simulink toolbox. The SEDM is loading for different loads ranging from no-load to full-load to test the controller behavior and it's robustness for wide range of loadings variations. First the SEDM is simulated with feeding back the angular speed only (output feedback system), second is simulated with feeding back the armature current and angular speed (state feedback system). For both systems the controller's gains are tuned using BFO. The proposed controller results are compared with output feedback system results. The results show the superiority of state feedback controller based BFO versus output feedback system based BFO for SEDM speed control which leads to improve the transient and steady state performance of speed responses for SEDM with different loads.