SSMFs fuzzy logic control and neural network based alpha compensation of phase controlled rectifier fed DC drives

In this paper, fuzzy logic and neural network concepts are applied to DC drive system. A systematic approach to construct membership functions of FLC using shrinking span membership functions (SSMFs), is adopted here. This paper proposes a SSMFs fuzzy logic controller for current and speed control loops of DC drive systems. Neural network is employed to linearize the rectifier transfer characteristics in discontinuous conduction mode. The digital simulation study of model system is carried out with proposed and PI controllers using MATLAB-SIMULINK software. Simulation result shows the superiority of proposed controller over fixed parameter PI controller and best possible FLC can be designed without expert knowledge and extensive tuning of parameters. The proposed method reduces the design time of fuzzy controller from down to earth.