| Hub motor is the driving motor of electric vehicle,and its synchronous coordinated control is one of the key points in the field of electric vehicle research.In the multi-motor synchronous coordinated control,the speed response speed of each motor and the speed synchronization error between the motors are important indicators to measure the coordinated control of the motor.The purpose of this paper is to improve the existing synchronous coordinated control schemes,which have the disadvantages of large synchronous error between motors and slow speed response of each motor,in order to improve the response speed of synchronous coordinated control system motor and reduce the synchronous error between motors at the same time.In the improved algorithm,the single motor control method is improved from direct torque control to id*=0 current predictive control,and the speed compensator is improved from traditional PID controller to fuzzy PID controller.Then,with the help of MATLAB/Simulink simulation software,the synchronous coordinated control of two-wheel and four-wheel drive of the improved electric vehicle is modeled and simulated respectively.The simulation results show that under the same conditions,the response speed of the improved multi-motor synchronous coordinated control system is greatly improved,from about 0.08 seconds to about 0.01 seconds,and the synchronization error between the motors is significantly reduced.During the adjustment period,the maximum synchronization error is reduced from 50-100r/min to about 5r/min,and the synchronization error after stabilization is increased from 2-5r/min to about 5 r/min.Less than 0.1r/min.It can be seen that the performance of the improved synchronous coordinated control system of electric vehicle hub motor has been significantly improved,basically reaching the original design purpose.Finally,on the basis of the existing technology,the id*=0 current predictive control algorithm is applied to the Ackermann-Jeantand differential steering control model for the steering control of electric vehicles.The simulation results show that the method is feasible and effective,and the control effect is good,which conforms to the preset conclusions. |