Reference model based low-speed control of PMSM

Wang, Ming‐Shyan; Kung, Ying‐Shieh; Berinde, Sergiu; Hanh, Nguyen Thi My

doi:10.1109/peds.2009.5385781

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…Instantaneous speed calculation method based on minimalorder disturbance torque has the advantages of simple structure and easy implementation [1,9]. But it is sensitive to noise and disturbance.…”

Section: Introductionmentioning

confidence: 99%

“…Theoretically, Luenberger, neural network structure of the disturbance torque observer can estimate the instantaneous speed and disturbance torque [2][3][4][5], but these methods are also sensitive to system parameters and need strict environmental requirements, especially during light load operation. Other complex algorithms like Kalman filtering algorithm, repetitive current control and radial basis function networks require a large computational effort [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Low speed servo system with second-order sliding mode algorithm

Shen

Jin

2012

2012 IEEE International Symposium on Industrial Electronics

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Performance of a servo motor drive system may deteriorate due to the effect of load disturbances, motor torque ripple and parameters variation, etc.. Especially, during low speed operation, speed tracking performance and dynamic response further deteriorate since the speed feedback is restricted. In this paper, a speed observer based on second order sliding mode algorithm is presented, which provides the first and second derivatives of a sampled smooth signal. By using this method, a slotless permanent magnet synchronous servo motor equipped with a moderate resolution (1000 ppr) encoder can run stably over the low speed region. Experimental results verify that the proposed method has rapid dynamic performance and very strong robustness against load disturbances and simultaneously attenuates chattering effectively. The method is easy to implement in practical applications.Keywords: low speed servo system; second-order sliding mode algorithm; speed tracking performance; dynamic response I.978-1-4673-0158-9/12/$31.00 ©2012 IEEE

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low speed servo system with second-order sliding mode algorithm

Shen

Jin

2012

2012 IEEE International Symposium on Industrial Electronics

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Speed Estimation from a Low-Resolution Encoder Using Adaptative Extend Kalman Observer in Low-Speed Range

Yang

Fan

Zhang

2021

2021 IEEE 2nd China International Youth Conference on Electrical Engineering (CIYCEE)

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Rotor Position Tracking Control for Low Speed Operation of Direct-Drive PMSM Servo System

Xuan

Yang

et al. 2021

IEEE/ASME Trans. Mechatron.

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In this paper, a rotor position tracking control (RPTC) strategy is proposed to effectively reduce the speed fluctuation for a direct-drive permanent magnet synchronous motor (DD-PMSM) servo system operating at low speed with different torque disturbances. In this strategy, considering the derivative relationship between the rotor position and speed, a speed command is converted to a real-time rotor position trajectory, and then a position-current two-loop control with the RPTC controller is proposed based on the internal model method to smoothly track the rotor position. In addition, the parameter design of RPTC controller from the perspectives of robust stability and anti-disturbance capability is investigated as well. Comparative simulation and experimental results demonstrate that, at low speed, the proposed RPTC strategy has a good speed performance for both periodic and non-periodic torque disturbances. Moreover, it enjoys simple implementation for not requiring the precise speed feedback and specific torque disturbance information.

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Reference model based low-speed control of PMSM

Cited by 3 publications

References 19 publications

Low speed servo system with second-order sliding mode algorithm

Low speed servo system with second-order sliding mode algorithm

Speed Estimation from a Low-Resolution Encoder Using Adaptative Extend Kalman Observer in Low-Speed Range

Rotor Position Tracking Control for Low Speed Operation of Direct-Drive PMSM Servo System

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