Research On The Design Of Variable-frequency Motor And Its Control System Optimization Based On Co-simulation

The “carbon peak and carbon neutral” policy clarifies the new requirements of my country’s carbon emissions.As an important means of constructing a low-carbon life,the development of drive motors is particularly important for electric vehicles.Motor design and controller algorithm optimization have become important links in the development cycle of electric vehicles.In the traditional design and development of motor products,motor design and control algorithm optimization are often relatively independent.The ideal motor is usually used in the control algorithm instead of the motor entity designed by the developer,which makes the actual control effect differ from the expected result of the simulation,resulting in a longer product development cycle and higher costs.First of all,according to the requirements of various working conditions of electric vehicle drive motors,this subject has calculated the motor structure parameters,and completed the parameter design of a 135 k W,6600r/min three-phase variable frequency induction motor for electric vehicles.The slot size of the stator and rotor is optimized and Maxwell simulation is carried out according to the speed regulation characteristics of the frequency conversion of the motor.Secondly,direct torque control(DTC)was built in Simulink,and for its characteristics of large torque fluctuations and unstable switching frequency,space vector modulation(SVPWM)was added to DTC to build an algorithm model.And in Simulink,it simulates the motor control situation of electric vehicles in various acceleration and deceleration,acceleration and deceleration,and load reduction.It is verified that the two algorithms can achieve good control of the motor of this subject.Finally,a field-circuit coupling joint simulation platform based on Maxwell,Simplorer,and Simulink was built.The finite element simulation of the motor is carried out in Maxwell,and the control algorithm calculation is carried out in Simulink.The two exchanged real-time data through Simplorer,and realized the joint simulation control of motor design and control algorithm optimization.The simulation results show that the torque pulsation during co-simulation is significantly larger than that of Simulink simulation,and the torque pulsation changes significantly during load operation than during no-load operation.For the problems of large torque ripple and long response time,the hysteresis loop width and PI parameters of the DTC control algorithm are optimized,which effectively reduces the torque ripple during no-load and load operation,the current harmonic content and the response time.At the same time,the DTC control algorithm and DTC+SVPWM are compared by co-simulation.The results show that the torque ripple of DTC+SVPWM is smaller than that of DTC,and the effect of flux linkage control is better,but the response speed is reduced.By building a field-circuit coupling joint simulation platform,the simulation results of the control algorithm for different control models were compared and analyzed,the corresponding control parameters were adjusted and optimized,the torque and speed regulation performance of the motor were optimized,and the design and control algorithm of the motor were improved.It provides a new method for motor design and control algorithm design to promote the performance optimization of electric vehicle motors and control algorithms.