Continuous Control Set Model Predictive Torque Control of Electrically Excited Synchronous Motors

This paper presents a Continuous Control Set Model Predictive Torque Control (CCS-MPTC) strategy for Electrically Excited Synchronous Machines (EESMs). The proposed control algorithm aims to minimize copper losses. By leveraging a precise discrete-time motor model, the CCS-MPTC algorithm optimizes control inputs over a finite horizon, ensuring torque reference tracking and current vector amplitude minimization. The algorithm autonomously identifies the Maximum Torque Per Ampere (MTPA) condition, eliminating the need for precalculated trajectories. Simulation results demonstrate the effectiveness of the proposed strategy in both stand-still and nominal speed conditions, highlighting its ability to maintain minimal excitation current and adhere to current constraints. The CCS-MPTC control algorithm provides a robust solution for advanced EESM applications, particularly in high efficiency, high dynamic performance scenarios such as electric vehicles and traction systems.