Study on Location Detection of PMSM Rotor Based on Sliding Mode Observer

Zhou, Qixun; Zhang, Yufeng; He, Hucheng; Li, Wenquan; Qi, Xuanxuan

doi:10.1109/is3c.2016.30

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…The permanent magnet synchronous motor (PMSM) is widely used in aerospace, new energy development, the military, and other fields requiring high precision and wide speed due to its advantages of high power density, small size, low energy loss, and low rotor consumption [1][2][3]. The PMSM control system is a multi-variable and highly coupled nonlinear control system, which is easily affected by motor parameter changes and load disturbances, and it is difficult to ensure the motor speed stationarity and control accuracy [4]; therefore, excellent control algorithms have broad application prospects.…”

Section: Introductionmentioning

confidence: 99%

Design of Fractional-Order Non-Singular Terminal Sliding Mode Observer Sensorless System for Surface-Mounted Permanent Magnet Synchronous Motor

Yao,

Gao,

Lei

et al. 2024

Electronics

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A new sensorless speed control system for a fractional-order terminal non-singular sliding mode surface-mounted permanent magnet synchronous motor is proposed. The fractional terminal non-singular sliding mode surface, which can converge in finite time, is designed by combining the fractional-order control theory with the terminal attractor concept. Then, a new control rate is proposed to reduce system buffeting. Secondly, an adaptive back electromotive force filter is designed to reduce the harmonics in the sliding mode function estimation and improve the observation accuracy. In addition, the theoretical analysis of the designed system proves that the system can converge in a finite time. Then, a fraction-order phase-locked loop with variable factors is designed to make the system more capable of tracking the rotor. Finally, a simulation and experiment platform is built, and a comparison experiment is carried out, which proves that the designed algorithm has a stronger rotor position tracking ability and a better dynamic performance of the system.

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Section: Introductionmentioning

confidence: 99%

Design of Fractional-Order Non-Singular Terminal Sliding Mode Observer Sensorless System for Surface-Mounted Permanent Magnet Synchronous Motor

Yao,

Gao,

Lei

et al. 2024

Electronics

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show abstract

“…However, the HFIM method is adopted in IPMSM [6], and SPMSM does not possess saliency characteristics, so the main research direction is to design a controller that can estimate BEF accurately. The accuracy estimation is based on an established mathematical model and algorithm, as for algorithm, the most common methods are sliding mode observer (SMO) [7][8][9][10][11], model reference adaptive system (MRAS) [12][13][14][15][16], and extended Kalman filter (EKF) [17][18][19][20][21]. MRAS is based on regulating the errors of the reference model and regulated model and realizing self-tracking.…”

Section: Introductionmentioning

confidence: 99%

High-Speed Control of AC Servo Motor Using High-Performance RBF Neural Network Terminal Sliding Mode Observer and Single Current Reconstructed Technique

Chen

Cai

2022

Electronics

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This paper proposes a phase current reconstruction strategy based on a dc bus using a single current sensor for a surface permanent magnet synchronous motor (SPMSM). The method of a single current sensor reduces the number of mechanical hall sensors and shunt resistors by using a modified current reconstruction algorithm. The information of rotor position is estimated by the sliding mode observer for its rapid response and strong anti-interference ability, and the observer needs to detect voltage and current components from α − β coordinate system. In order to reduce the buffeting problem of sliding mode observers, an adaptive neural network is introduced, by the way of extracting angle speed estimated values from sliding mode observers, and these values are trained to obtain the compensate angular velocity and minus index value to suppress speed value. The performance of this sensorless speed regulation strategy in the high-speed region using a single current sensor with an optimized adaptive neural network is verified and evaluated by PSIM simulation and experiments.

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Dual Complex-Coefficient Filter Based Sliding Mode Position Observer for PMSM Drives

Yang,

2023

Lecture Notes in Electrical Engineering

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Study on Location Detection of PMSM Rotor Based on Sliding Mode Observer

Cited by 3 publications

References 3 publications

Design of Fractional-Order Non-Singular Terminal Sliding Mode Observer Sensorless System for Surface-Mounted Permanent Magnet Synchronous Motor

Design of Fractional-Order Non-Singular Terminal Sliding Mode Observer Sensorless System for Surface-Mounted Permanent Magnet Synchronous Motor

High-Speed Control of AC Servo Motor Using High-Performance RBF Neural Network Terminal Sliding Mode Observer and Single Current Reconstructed Technique

Dual Complex-Coefficient Filter Based Sliding Mode Position Observer for PMSM Drives

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