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.