High-Precision Virtual Signal Injection MTPA Control of Synchronous Reluctance Motor Based on Parameter Identification Considering Electromagnetic Torque Partial Derivation Term

For synchronous reluctance motor (SynRM) parameters are tends to change when the magnetic is saturated, and the characteristics are significantly nonlinear. The conventional maximum torque per ampere (MTPA) control of SynRM, which ignores the deviation terms, is subject to significant errors about current angle and leads to torque degradation. For the saturation of magnetic, relying only on finite element simulation, the accuracy of motor parameters is still not guaranteed in practical applications. In this study, an online approach of inductance parameters determination that can account for magnetic self-saturation and cross-saturation was proposed. In order to achieve high-precision MTPA control of SynRM concerning torque degradation, this paper first analyzes the factors contributing to the MTPA control error of SynRM. It then combines the identification of SynRM inductance parameters to compensate for the deviation terms online and applies the virtual signal injection method. Simulation and experiment results verifies the effectiveness of proposed parameter identification approach and high-precision MTPA control strategy considering deviation terms.