A Simplified Constrained Predictive Position Control for PMSM Drives With Laguerre Functions
Abstract
Predictive position control (PPC) method with long predictive horizon is an effective method to eliminate the cascade structure and improve the dynamic response for the permanent magnet synchronous motor (PMSM). However, traditional PPC method needs a time-consuming prediction process and does not always guarantee satisfactory position performance. In this article, a simplified constrained PPC method is proposed, the Laguerre functions are designed to construct the control trajectory of position system, which offers two control degrees to improve the position dynamic response and simplify programming of prediction process. Besides that, the optimization model with current constraints, speed constraints, and voltage constraints are constructed with the frame of Laguerre functions. The optimization model with constraints is solved with an optimal method and suboptimal method. The proposed PPC method is experimentally verified and compared with field-oriented control (FOC) method and a traditional PPC method, the results have proved that proposed method has excellent position performance and low calculation burden.