The direct torque control research of pure electric vehicles motor based on PSO-FC mixed-control model

In the control of induction motor, due to the nonlinear and time-varying, flux observer has always been the difficult point of the control algorithm design. Bang-Bang control methods which used in traditional direct torque control, selects the same space voltage vector whether the error is too large or too small. It makes the pulsation problem of flux and torque in control. Particle Swarm Optimization (PSO) algorithm has the characteristics of random search optimal solution in the global. Combine PSO algorithm with BP (Back Propagation) neural network algorithm, alternative to the stator flux observer of traditional induction motor direct torque control, fuzzy controller replace the hysteresis comparator and Switch Vector Table of traditional direct torque control system, to reduce the pulsation of motor flux and torque. The simulation results indicate that, when the motor torque sudden change, the response of the system is quicker, the pulsation of flux and torque is smaller, achieve the expected results.