Compared with the three-phase drive system,the multi-phase drive system has attracted much attention in the field of motor drive owing to its greater output power,reliable faulttolerant operation capability,and flexible control resources.Among them,the multi-phase stator permanent magnet synchronous motor(PMSM)not only has the advantages of multi-phase drive system,but also has the merits of small volume,high power density,high efficiency and easy cooling.With the development of microprocessors,model predictive control(MPC)has become a research hotspot in the field of motor drive because of its simple principle and easy handling of multi-variable constraints.However,research on MPC in multi-phase motor drive systems is still relatively rare,which is exactly the topic of this thesis.The research on model predictive control of a five-phase permanent magnet synchronous motor is conducted,which helps extend the application of MPC in multi-phase motor drive systems.In this thesis,a five-phase sator-20-slots/rotor-18-poles flux switching permanent magnet(FSPM)motor is taken as the control object and regarded as a normal five-phase PMSM,and the key research contents are listed as follows:(1)The structure and working principle of the five-phase FSPM motor is introduced.The simulation model is built according to motor mathematical model,and the simulation verification of the algorithm is completed.(2)The MPC strategy of five-phase PMSM is analyzed.From the perspective of improving the steady-state performance of model predictive control,the research route of improved MPC based on voltage vector optimization is proposed,which focus on the duty ratio optimization and two-vector optimization strategy based on geometric method.(3)The MPC is applied to the five-phase PMSM motor fault-tolerant control.From the perspective of reducing the computational complexity of MPC algorithm,the simplified control set model predictive control(SCS-MPC)strategy based on pre-selecting is deeply studied.(4)The hardware design and software programming of the five-phase motor drive system are completed,then the experimental platform is put up.And sufficient experiments are carried out to verify the proposed algorithm in this thesis. |