Simulation on parallel drive system of double Switched Reluctance motors based on sliding mode & fuzzy controllers

Abstract

The paper presented a control scheme for parallel drive system of double Switched Reluctance motors. The sliding mode control algorithm is adopted in the main controller for closed-loop rotor speed control of main motor. The fuzzy control algorithm is adopted in the subordinate controller for synchronized rotor speed and loads equilibrium distribution between main motor and subordinate motor. The given rotor speed and the actual rotor speed of the main motor are the input parameters of the main VSS controller. The duty ratio of pulse width modulation signal of the main VSS controller can be gained by the sliding mode control algorithm. The actual rotor speed of the main motor, the actual rotor speed of the subordinate motor, the average values of DC bus supply current for main power converter, and the average values of DC bus supply current for subordinate power converter are the input parameters of the subordinate Fuzzy controller. The increment of the duty ratio of pulse width modulation signal of the subordinate VSS controller can be gained by the fuzzy control algorithm. The nonlinear simulation results of the system based on MATLAB-Simulink show that the advanced scheme is satisfied with the requirement for towing storage battery electric locomotives by the parallel drive system of double Switched Reluctance motors.