Dynamic weighting factor assignment method for the predictive control of electrical drives

Abstract

This article presents an innovative approach for real-time allocation of weighting factor values in model predictive control of electrical drive systems. In the proposed dynamic weighting factor assignment method, the cost associated with a specific variable is determined based on its corresponding set of predictions. This approach can be employed to optimize weighting factor values for a given system or even enhance performance metrics in comparison to conventional approaches that employ fixed weighting factors. Furthermore, the method determines the optimal value of weighting factors in real-time with low added calculation complexity. The proposed method is able to provide reliable constant weighting factors for a given working point as well. The practical application of this method is demonstrated through a case study of an LC filter equipped PMSM drive; the system encompasses six independent variables that require regulation. Experimental results utilizing both two and three level voltage source inverters and using various transient and steady-state situations prove the feasibility of the proposed dynamic weighting factor assignment method.