Design of Armature and Field Control Systems based Bacterial Foraging Optimization Technique for Speed Control of DC Motor

The aim of this work is to design and simulate an armature and field control systems using state feedback controller based on bacterial foraging optimization (BFO) technique for controlling the speed of separately excited dc motor (SEDM). The controller's performances have been optimized based on social foraging behavior of Escherichia (E. Coli) bacteria. The state feedback controller's parameters (controller's gains K1 & K2) are tuned using foraging strategy. The SEDM is loading for different loads ranging from no-load to full-load to test the controller behavior and robustness for wide range of loadings variations. First the SEDM is simulated feeding back the armature current and angular speed (armature control method), second the SEDM is simulated with feeding back the field current and angular speed (field control method). For both controlling methods the controller's gains are tuned using BFO.