Deadbeat Model Predictive Torque Control with Discrete Space Vector Modulation for PMSM Drives.

This paper proposes an alternative strategy of Finite Control Set-Model Predictive Torque Control (FCSMPTC) to reduce computational burden and torque ripple, and decouple the switching frequency from the controller sampling time. An improved Discrete Space Vector Modulation (DSVM) technique is utilized to synthesize a large number of virtual voltage vectors. Deadbeat (DB) technique is used to optimize the voltage vector selection process, avoid enumerating all the feasible voltage vectors. With this proposed method, only three voltage vectors are tested in each predictive step. Based on the improved DSVM method, the three candidate voltage vectors are calculated by using a novel algebraic way. This new strategy has the benefits of both MPTC method and DB method. The effectiveness of the proposed strategy is validated based on test bench.     «

This paper proposes an alternative strategy of Finite Control Set-Model Predictive Torque Control (FCSMPTC) to reduce computational burden and torque ripple, and decouple the switching frequency from the controller sampling time. An improved Discrete Space Vector Modulation (DSVM) technique is utilized to synthesize a large number of virtual voltage vectors. Deadbeat (DB) technique is used to optimize the voltage vector selection process, avoid enumerating all the feasible voltage vectors. With...     »