Comparative Study of Predictive Current Control Structures for a Synchronous Reluctance Machine

Abstract

The synchronous reluctance motor (SynRM), due to its advantages, has been used recently in many applications. In this paper, we propose a comparison of two current control structures for a SynRM based on constrained predictive control algorithms to analyze the performance of each algorithm. The first structure starts from the V -canonical model of the $dq$ current system, and then, using a decoupling controller, two single-input single-output (SISO) decoupled systems result, each being controlled with a SISO constrained predictive control algorithm. The second one uses a multi-input multi-output (MIMO) state-space model of the $dq$ current system for which a constrained MIMO predictive control algorithm is designed. For a better evaluation of the proposed predictive controllers with constraints of the two current control structures, a comparative investigation of these predictive control techniques was performed using the Matlab-Simulink environment. For the performance testing, two scenarios were considered that included both input and output constraints and a set of performance indices.