Sensorless Vector Control of PMSM Based on Improved Sliding Mode Observer
This paper proposes a sensorless control algorithm for the permanent magnet synchronous motor (PMSM) based on a new sliding mode observer (SMO), which substitutes a sigmoid function for the signum function. The stability of proposed SMO is analyzed using
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Abstract This paper proposes a sensorless control algorithm for the permanent magnet synchronous motor (PMSM) based on a new sliding mode observer (SMO), which substitutes a sigmoid function for the signum function. The stability of proposed SMO is analyzed using the Lyapunov stability theorem. Adaptive law of switching gain is regulated with the rotor speed to expand the functional range of SMO. A back-electromotive force (back-EMF) observer is designed to eliminate the high frequency components of estimated back-EMF. An input-normalized phase-locked loop (PLL) is adopted to extract the rotor position and speed for compensating the phase lag resulted from the filter. The simulation results illustrate the validity of the analytical approach and the efficiency of the new sensorless control algorithm for PMSM based on the new SMO.
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Keywords Permanent-magnet synchronous motor (PMSM) Sliding mode observer (SMO) Phase-locked loop (PLL) Sensorless Sigmoid function
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1 Introduction Permanent magnet synchronous motors (PMSMs) with their small size, high efficiency, large power density, and good dynamic performance are widely applied to high-performance servo and drive areas. Effective vector control of the PMSM requires accurate position information of rotor, since it is directly connected to the produced torque. The rotor position can be measured with an optical encoder, a resolver or with Hall sensors. However, such sensors installed on the rotor shaft increase the inserted noise, the motor size, and the overall cost of the drive system. To eliminate the need of position sensors, several sensorless control strategies have been developed. F. Mu ⋅ B. Xu ⋅ G. Shi ⋅ W. Ji (✉) ⋅ S. Ding School of Electrical and Information Engineering, Jiangsu University, 212013 Zhenjiang, China e-mail: [email protected] © Springer Science+Business Media Singapore 2016 Y. Jia et al. (eds.), Proceedings of 2016 Chinese Intelligent Systems Conference, Lecture Notes in Electrical Engineering 405, DOI 10.1007/978-981-10-2335-4_31
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In most sensorless PMSM control methods, the rotor position is estimated using measured electrical quantities. According to the effectiveness of rotor position estimation for PMSM in different speed ranges, sensorless control methods are divided into two major categories: saliency-based methods and mode-based methods. The former is valid in very low or zero speed operation, and the latter is suitable for the rotor position estimation in medium speed and high speed operation. The mode-based methods are mainly based on the model of the PMSM include the direct calculation method using the stator terminal voltage and current [1, 2], extended Kalman filter (EKF)-based methods [3, 4], model reference adaptive system (MRAS)-based methods [5], and SMO-based methods [6–10]. Compared with other methods, SMO-based methods have advantages such as robustness for motor parameters, rapid responses, and less computational complexity. For an actual SMO, due to the time and space delay and dead zone, making th
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