Fuzzy logic control for parallel drive system of the dual Switched Reluctance machines

The control scheme of parallel drive system of the dual Switched Reluctance machines based on fuzzy logic control is proposed and verified for the first time. The system consists of main machine, subordinate machine, main power converter, subordinate power converters, main controller and subordinate controller. The main controller is used for closed-loop rotor speed control of main machine, with the subordinate controller for synchronized rotor speed and loads equilibrium distribution between main machine and subordinate machine. The fuzzy logic control algorithm with PWM control is given. A nonlinear simulation model of the system founded on MATLAB is also given. The simulated results and tested results on the prototype with three given rotor speeds and two different loads show that when compared with the system with sliding mode control adopted, the phase current peak value is smaller, the rotor speed static error is also smaller, the rotor speed response synchronization at starting between main machine and subordinate machine is well.