Hierarchical Scaled–States Direct Predictive Control of Synchronous Reluctance Motor Drives

This paper presents the design and experimental validation of a finite-state direct predictive control for synchronous reluctance motor drives. The main features are the hierarchical selection policy of the optimal voltage vector and the dynamic scaling of the voltage amplitude which keeps the current ripple limited even in presence of low switching frequencies, as required by medium and high-power applications. The implementation is simple, intuitive and low-demanding. The study is fully supported by experimental evidences.