Fault-tolerant model predictive control of six-phase permanent magnet synchronous hub motors

Abstract

Permanent magnet synchronous hub motors (PMSHMs) have been gradually introduced into the applications of electric vehicles. On this basis, the six-phase motor has the characteristics of high reliability, high power density and low torque ripple. And its fault tolerance is a large advantage compared with the three-phase motor. The multi-phase permanent magnet synchronous motor is redundant due to the number of phases. When the motor fails, it does not have to stop running, merely adjust its control mode and enter the fault-tolerant compensation control algorithm to resume the operation of the system. The FCS-MPC algorithm can replace the cascade structure in the traditional control and eliminate the modulation module. This makes it have good steady-state performance. The speed response is also improved. It can be combined with multiple control objectives with strong flexibility by simply changing the objective function. The prediction model is compensated. Finally, the experimental results show the effectiveness of this method.

A novel Model Predictive Current Control of Interior Permanent Magnet Synchronous Motor powered by Three-phase Four-switch Voltage-source Inverter

“…In normal operation mode, K a , K b , and K c are all in off state and the three-phase stator voltages in abc-system are given by (5).…”

“…It is a cost effective solution replacing the (TPSS-VSI) because of the ease of its control structure and reduced complexity [3] . For IPMSM drive systems, MPCC is an emerging control strategy [4,5] , which adopts the principle of model predictive control (MPC). MPC strategies have the ability to deal with system constraints, multi-objective optimization and multivariable control problems, and have been widely used in the control of power electronic converters.…”