Robust Speed and Current Control with Parametric Adaptation for Surface-Mounted PMSM Considering System Perturbations

Permanent magnet synchronous machines (PMSMs), which include a dynamic combination of electronics and mechanics, have been widely deployed in emerging mechatronics systems. However, there exist undesirable perturbations in electrical and mechanical parameters of the PMSM with different operating conditions, which deteriorate the control performance and pose risks to the connected power conversion systems. To improve the robustness of PMSM control considering multiple system perturbations, a robust control strategy with parametric adaptation is established in this paper, where a desired-compensation adaptive robust current controller and a disturbance-observer-based speed controller are proposed. Such controls are capable of achieving robust regulations of the stator currents and the rotor speed, while accurately estimating machine parameters including stator resistance, stator inductance, and flux linkage of the permanent magnet. When these parameters drift away from their nominal values, the observers/estimators of the proposed algorithms calibrate the pre-stored data and compensate for the control errors, and thus the control behavior of the PMSM under parameter mismatches will not degrade. A current and speed cascaded control system is configured to integrate the proposed algorithms for robustness considerations of the PMSM. Extensive simulations and experimental results are demonstrated to validate the effectiveness of the proposed robust control strategies.