Reduced rule base fuzzy controller for performance enhancement of inline PI controller

This paper present an analysis and simulation of a inline Proportional Integral (PI) controller supported by a reduced order fuzzy logic controller for industrial applications demanding fast response under varied conditions. The classical PI control is integrated with fuzzy logic controller to make a hybrid control system with merits of both. For the proposed architecture of hybrid system, the fuzzy logic controller works in the specific range of operation, presents a fast response in settlement to steady state with minimum oscillations and without the necessity of switching between two controllers. Using small rule base fuzzy with in specific range reduces the computational burden dramatically and thus paves the way for its implementation on low cost microcontroller, hence making it suitable for industrial application under severe non linearities. The proposed control is simulated for speed control of brushless DC motor under MATLAB/Simulink environment.