Bin Zhang

Dr. Bin Zhang

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 December 2022 in Sensors
Verified
Journal Article
Open access
PDF file
YQYing Qu
Ying Qu
BZBin Zhang
Bin Zhang
HChairong chu
hairong chu
XYXiaoxia Yang
Xiaoxia Yang
HSHonghai Shen
Honghai Shen
JZJingzhong Zhang
Jingzhong Zhang
To combine the advantages of linear active disturbance rejection control (LADRC) and nonlinear active disturbance rejection control (NLADRC) and improve the contradiction between the response speed and control precision caused by the limitation of parameter α in NLADRC, a linear-nonlinear switching active disturbance rejection control (SADRC) strategy based on linear-nonlinear switching extended state observer (SESO) and linear-nonlinear switching state error feedback control law (SSEF) is proposed in this paper. First, the reasons for the performance differences between LADRC and NLADRC are analysed from a theoretical point of view, then a linear-nonlinear switching function (SF) that can change the switching point by adjusting its parameters is constructed and then propose SESO and SSEF based on this function. Subsequently, the convergence range of the observation error of the SESO is derived, and the stability of the closed-loop system with the application of SSEF is also demonstrated. Finally, the proposed SADRC control strategy is applied to a 707 W permanent magnet synchronous motor (PMSM) experimental platform, and both the dynamic and static characteristics of SADRC are verified. The experimental results show that the proposed SADRC control strategy can well combine the performance advantages of LADRC and NLADRC and can better balance the response speed and control precision and has a better capacity for disturbance rejection, which has potential application in engineering practise.

24 July 2025 in IEEE Transactions on Power Electronics
Verified
Journal Article
Closed access
YXYifan Xu
Yifan Xu
BZBin Zhang
Bin Zhang
YDYongting Deng
Yongting Deng
YKYuxin Kang
Yuxin Kang
XLXiufeng Liu
Xiufeng Liu
Haiyang CaoHaiyang Cao
Haiyang Cao
This study presents a novel approach to enhance the speed control performance of the permanent magnet synchronous motor (PMSM) drive system by integrating a new sliding-mode reaching law (NSMRL) with a variable-parameter generalized super-twisting observer (VGSTO). The NSMRL is developed based on the terminal attractor concept and an adaptive method. It overcomes the slow convergence of the traditional exponential reaching law. The proposed sliding-mode controller consists of the NSMRL and an integral sliding-mode surface, achieving superior convergence dynamics. Besides, the adaptive function enhances fast transient response. The VGSTO addresses the traditional extended state observer’s issue of limited bandwidth selection due to system stiffness, offering better observing performance without a large bandwidth. The added linear and extra terms further speed up observer convergence. The introduction of variable parameters further reduces the observation error of the observer. Experiments confirm the superiority of the proposed control strategy.

13 February 2025 in Sensors
Verified
Journal Article
Open access
PDF file
YXYifan Xu
Yifan Xu
BZBin Zhang
Bin Zhang
YKYuxin Kang
Yuxin Kang
HWHe Wang
He Wang
To enhance the speed-control performance of a permanent magnet synchronous motor (PMSM) drive system, an improved sliding-mode anti-interference control strategy is presented. Firstly, to tackle the speed fluctuation issue caused by cogging torque (a periodic disturbance) and time-varying disturbances at low set speeds in PMSM, an improved sliding-mode control (ISMC) is proposed. It consists of a continuous adaptive fast terminal sliding-mode surface (CAFTSMS) and a new reaching law (NRL). The CAFTSMS boosts the system’s immunity to interference, while the NRL, improved via an adaptive function, enhances the fast transient response and notably reduces speed fluctuations. Secondly, a quasi-proportional resonant (QPR) controller is introduced. It suppresses specific-order system harmonics, significantly reducing the harmonic amplitude and strengthening the system’s ability to handle periodic disturbances. Finally, a cascaded extended state observer (CESO) with a special cascade structure is proposed to solve the observation-delay problem in the traditional cascade structure. Experimental results show that the proposed sliding-mode anti-disturbance control strategy performs excellently in overcoming disturbances.