Speed Control Strategy of Low-Cost Modular Permanent Magnet Synchronous Linear Motor Based on Sliding Mode Vector Tracking Observer

Zhang, Yiwei; Huang, Xuzhen; Ding, Xuzhe; Wang, Anpeng; Jian, Xu

doi:10.1109/tia.2022.3207698

Cited by 4 publications

(2 citation statements)

References 20 publications

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“…Although photoelectric encoders, rotary transformers, and induction synchronizers can directly provide rotor position information with high accuracy, they increase the cost and complexity of the system, reduce system stability and reliability, and have high environmental requirements [ 8 , 9 ]. Linear Hall effect sensors provide analog signals corresponding to the rotor position, but the signal contains harmonics, making it difficult to accurately determine the position information [ 10 ]. Binary Hall effect sensors can provide discrete position signals based on the edge features of the signal.…”

Section: Introductionmentioning

confidence: 99%

A Sage–Husa Prediction Algorithm-Based Approach for Correcting the Hall Sensor Position in DC Brushless Motors

Wang

Yong

Yin

2023

Sensors

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Accurate knowledge of the rotor position is essential for the control of brushless DC motors (BLDCM). Any deviation in this identification can cause fluctuations in motor current and torque, increase noise, and lead to reduced motor efficiency. This paper focused on a BLDCM equipped with a three-phase binary Hall sensor. Based on the principle of minimum deviation, this paper estimated the relative installation offset between the Hall sensors. It also provided a clear method for ideal phase commutation position recognition and eliminated the Hall sensor installation position deviation. The proposed pre-calibration method identified and eliminated the offset of the permanent magnet poles, the delay time caused by the Hall signal conditioning circuit, and the offset of the sensor signal identification due to armature response under different loads. Based on the pre-calibration results, a correction strategy for correcting the rotor position information of BLDCMs was proposed. This paper presented a self-adaptive position information prediction algorithm based on the Sage–Husa method. This filters out rotor position information deviations that are not eliminated in pre-calibration. Experimental results on a hydrogen circulation pump motor showed that, after the pre-calibration method was adopted, the Mean Square Error (MSE) of motor speed fluctuations decreased by 92.0%, motor vibration was significantly reduced, average phase current decreased by 62.8%, and the efficiency of the hydrogen circulation pump system was significantly improved. Compared to the traditional KF prediction algorithm, the Sage–Husa adaptive position information prediction algorithm reduced the speed fluctuation during the uniform speed operation stage and speed adjustment stage, the speed curve overshoot, and the commutation time deviation throughout the process by 44.8%, 56.0%, 54.9%, and 14.7%, respectively. This indicates a higher disturbance rejection ability and a more accurate and stable prediction of the commutation moment.

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Section: Introductionmentioning

confidence: 99%

A Sage–Husa Prediction Algorithm-Based Approach for Correcting the Hall Sensor Position in DC Brushless Motors

Wang

Yong

Yin

2023

Sensors

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“…Compared to the linear feed motion provided by the ball screw in traditional machinery, the linear motor can be directly connected to the linear motion components rigidly, which can effectively improve friction, noise, and other problems in mechanical transmission. Therefore, the linear motor control system has better motion performance [1].…”

Section: Introductionmentioning

confidence: 99%

Magnetic Poles Position Detection of Permanent Magnet Linear Synchronous Motor Using Four Linear Hall Effect Sensors

Zhou

Cong

2023

Actuators

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Magnetic pole position detection is the core of the closed-loop control system of the permanent magnet linear synchronous motor (PMLSM), and its position estimation accuracy directly affects control performance and dynamic response speed. In order to solve the problem of the increased estimation error of magnetic pole position caused by magnetic field distortion at the end of PMLSM while also considering the cost of control hardware, the paper uses four linear Hall sensors as magnetic pole position detection components and adopts an optimized estimation algorithm to improve the dynamic performance of the motor. Firstly, a numerical simulation of the magnetic field of poles was conducted using Ansoft Maxwell software, and combined with theoretical analysis, the optimal installation position range of four linear Hall orthogonal placements relative to the motor was obtained. Meanwhile, based on the existing vector tracking position observer, an improved observer detection model is proposed. The Matlab/Simulink software was used to compare the Hall-based detection model with the Hall-based improved observer detection model, verifying the feasibility of the improved detection algorithm. Finally, the rationality of the spatial layout design of linear Hall and the feasibility of improving the estimation algorithm were verified through experiments.

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A Velocity Contorl Strategy for Dual-Modular Permanent Magnet Linear Synchronous Motor with Low-Resolusion Hall Sensors

Feng,

Huang,

Wang

et al. 2023

2023 26th International Conference on Electrical Machines and Systems (ICEMS)

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Speed Control Strategy of Low-Cost Modular Permanent Magnet Synchronous Linear Motor Based on Sliding Mode Vector Tracking Observer

Cited by 4 publications

References 20 publications

A Sage–Husa Prediction Algorithm-Based Approach for Correcting the Hall Sensor Position in DC Brushless Motors

A Sage–Husa Prediction Algorithm-Based Approach for Correcting the Hall Sensor Position in DC Brushless Motors

Magnetic Poles Position Detection of Permanent Magnet Linear Synchronous Motor Using Four Linear Hall Effect Sensors

A Velocity Contorl Strategy for Dual-Modular Permanent Magnet Linear Synchronous Motor with Low-Resolusion Hall Sensors

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