Robust Takagi-Sugeno Fuzzy Speed Regulator for DC Series Motors

This paper presents the design of fuzzy logic based speed regulator for DC series motor. A Takagi-Sugeno (TS) fuzzy model of DC series motor considering parametric uncertainty is first constructed using sector nonlinearity and set of operating point techniques. An integral state is then introduced in each fuzzy plant sub-model to guarantee exact tracking of speed commands. A parallel distributed compensation (PDC) controller under H-, decay rate and control input constraints, is finally designed for the augmented system to regulate the motor speed in the presence of load torque and parameter variations. MATLAB simulations are performed to prove the effectiveness of the proposed regulator.