Sliding-mode MRA observer-based model predictive current control for PMSM drive system with DC-link voltage sensorless

Publication Type:
Conference Proceeding
Citation:
2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017, 2017
Issue Date:
2017-10-02
Full metadata record
© 2017 IEEE. A sliding-mode model reference adaptive (MRA) observer-based model predictive current control (MPCC) strategy is developed for permanent magnet synchronous motor (PMSM) drive systems with DC-link voltage sensorless. Generally a DC-link voltage sensor is indispensable for PMSM drive fed by voltage source inverter (VSI) to implement MPCC. In response to DC-link voltage sensor fault, by combination of MRA and sliding-mode techniques, a novel sliding-mode MRA observer for estimating DC-link voltage is proposed to perform MPCC. Moreover, in view of the variation of system parameters and external disturbance, a new nonlinear exponential function-based sliding-mode (NEFSM) speed regulator is synthesized to enhance the system robustness. In order to reduce the drive current ripple and improve speed & torque control performance, MPCC strategy is employed. The resultant NEFSM-based MPCC PMSM drive system with sliding-mode MRA Observer has excellent dynamical performance. In comparison with PI-based MPCC PMSM drive system with sliding-mode MRA observer, the proposed NEFSM-based one possesses better dynamical response and stronger robustness in the presence of variation of load torque. Numerical simulation validates the feasibility and effectiveness of the proposed scheme.
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