Multi-step predictive control sphere decoding optimization method for six-phase permanent magnet synchronous motor

The invention relates to the field of model predictive control of a six-phase permanent magnet synchronous motor, and provides a multi-step predictive control sphere decoding optimization method for the six-phase permanent magnet synchronous motor, and the method comprises the steps: converting the current of the six-phase permanent magnet synchronous motor into shaft current through Clark transformation and Park transformation; updating the discrete mathematical model through the shaft current to obtain a discrete prediction model of the six-phase permanent magnet synchronous motor; a prediction step length is selected, a multi-step-length prediction model and a multi-step-length current model are designed to predict a control cost function, and an unconstrained solution of the optimal switching sequence is obtained; setting an initial constrained solution and a maximum iteration step length, and operating an optimization spherical decoder algorithm to obtain a constrained solution of an optimal switching se