Speed Sensorless Control in Direct-drive Permanent Magnet Synchronous Generator System

The sensorless vector control has been widely applied in Permanent Magnet Synchronous Motor(PMSM) for the micro turbine generation system (MTGS). Speed Adaptive Full Order Observer(AFOB) presents a high accuracy for speed and position estimation. This paper proposes a unified feedback gain matrix design method, which adopts a left-shifting and zooming design criteria compare to the poles of motor. For speed sensorless generator system, the initial speed is unknown because the motor is rotating by micro turbine, it would be problematic to achieve smooth resumption of normal operation if the starting process is not deliberately designed. To solve this problem, a restart scheme based on AFOB is proposed in this paper. Finally, the effectiveness of the proposed method is validated by the simulation and experiment results in direct-drive generation system.

[1]  Nong Zhang,et al.  Two high performance position estimation schemes based on sliding-mode observer for sensorless SPMSM drives , 2016, 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia).

[2]  Dianguo Xu,et al.  Adaptive Compensation Method of Position Estimation Harmonic Error for EMF-Based Observer in Sensorless IPMSM Drives , 2014, IEEE Transactions on Power Electronics.

[3]  Dianguo Xu,et al.  Discrete-Time Low-Frequency-Ratio Synchronous-Frame Full-Order Observer for Position Sensorless IPMSM Drives , 2017, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[4]  Ambrish Chandra,et al.  Effects of Rotor Position Error in the Performance of Field-Oriented-Controlled PMSM Drives for Electric Vehicle Traction Applications , 2016, IEEE Transactions on Industrial Electronics.

[5]  Edmundo Bonilla Huerta,et al.  Sensorless Predictive DTC of a Surface-Mounted Permanent-Magnet Synchronous Machine Based on Its Magnetic Anisotropy , 2013, IEEE Transactions on Industrial Electronics.

[6]  Yongchang Zhang,et al.  Performance evaluation of an improved model predictive control with field oriented control as a benchmark , 2017 .

[7]  Zhao Zhengming,et al.  Speed sensorless control for three-level inverter-fed induction motors using an Extended Luenberger Observer , 2008, 2008 IEEE Vehicle Power and Propulsion Conference.

[8]  Long Wu,et al.  An Extended Flux Model-Based Rotor Position Estimator for Sensorless Control of Salient-Pole Permanent-Magnet Synchronous Machines , 2015, IEEE Transactions on Power Electronics.

[9]  Dianguo Xu,et al.  Quadrature PLL-Based High-Order Sliding-Mode Observer for IPMSM Sensorless Control With Online MTPA Control Strategy , 2013, IEEE Transactions on Energy Conversion.

[10]  Somboon Sangwongwanich,et al.  Stability and Dynamic Performance Improvement of Adaptive Full-Order Observers for Sensorless PMSM Drive , 2012, IEEE Transactions on Power Electronics.

[11]  Paul D. Walker,et al.  Deadbeat control based on a multipurpose disturbance observer for permanent magnet synchronous motors , 2018 .

[12]  Jangmyung Lee,et al.  A High-Speed Sliding-Mode Observer for the Sensorless Speed Control of a PMSM , 2011, IEEE Transactions on Industrial Electronics.

[13]  J. Miller Numerical Analysis , 1966, Nature.

[14]  Nguyen Trung Hieu,et al.  FPGA-Based Sensorless PMSM Speed Control Using Reduced-Order Extended Kalman Filters , 2014, IEEE Transactions on Industrial Electronics.

[15]  Long Wu,et al.  An Adaptive Quasi-Sliding-Mode Rotor Position Observer-Based Sensorless Control for Interior Permanent Magnet Synchronous Machines , 2013, IEEE Transactions on Power Electronics.

[16]  Paul D. Walker,et al.  A Method to Start Rotating Induction Motor Based on Speed Sensorless Model-Predictive Control , 2017, IEEE Transactions on Energy Conversion.