Modulated Model-Predictive Integral Control applied to a Synchronous Reluctance Motor Drive

Abstract

This paper investigates an innovative modulation technique for a predictive control applied to a synchronous reluctance motor drive. The new formulation of the duty cycles, in both linear and overmodulation regions, relies on the identified flux-versus-current characteristics. Furthermore, integral terms have been introduced in the predictive control to achieve satisfactory reference tracking performance with zero steady-state error, even under model parameters mismatches. Low current ripple with smooth and fast dynamic responses are achievable at fixed switching frequency over the whole current operating range. Simulations and experimental evidence show the effectiveness of the proposed controller against standard controllers such as field-oriented current control and deadbeat current control, guaranteeing low current ripple, robustness against parameters variations, and fast dynamic performance.