Extended State Observer-Based Sliding Mode Control with New Reaching Law for PMSM Speed Control

Qian, Junzhang; Xiong, Ao; Ma, Wen-Loong

doi:10.1155/2016/6058981

Cited by 20 publications

(9 citation statements)

References 22 publications

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“…To achieve an accurate control of the motor, the disturbances should be accurately estimated and compensated. There are many observers for disturbances estimation, such as unknown input observer [16], disturbance observer [17,18], extended-state observer [19][20][21]. The applications of the observer for PMSM drive systems are presented in [18,19].…”

Section: Introductionmentioning

confidence: 99%

“…There are many observers for disturbances estimation, such as unknown input observer [16], disturbance observer [17,18], extended-state observer [19][20][21]. The applications of the observer for PMSM drive systems are presented in [18,19]. In [18], the sliding mode disturbance observer is used to restrain external disturbance which can improve the anti-disturbance capability of the PMSM drive systems.…”

Section: Introductionmentioning

confidence: 99%

“…In [18], the sliding mode disturbance observer is used to restrain external disturbance which can improve the anti-disturbance capability of the PMSM drive systems. In [19], an extended-state observer is applied to the speed controller of PMSM to estimate disturbance.…”

Section: Introductionmentioning

confidence: 99%

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Predictive Speed-Control Algorithm Based on a Novel Extended-State Observer for PMSM Drives

Zhao

Zhang

2019

Applied Sciences

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To enhance the control performance of permanent-magnet synchronous motor (PMSM) drive systems, achieving high-precision motion control, a generalized predictive control (GPC) method based on a novel extended-state observer (ESO) is investigated for the speed control of PMSM. In this paper, the controller design consists of two steps. Firstly, according to the continuous time model of PMSM, using the Taylor series expansion, the predictive value of motor speed in finite time is derived, and the single-loop speed controller by combining the speed loop and q - axis current loop is obtained through the defined cost function. The structure of the controller is simple compared to other forms. Secondly, considering the uncertainty of the load torque and the model uncertainties, a novel extended-state observer is designed to compute the actual torque, and the observed value is introduced to the GPC controller. The simulation and experimental results show that the proposed GPC+ESO control method has superior dynamic performance and strong robustness.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predictive Speed-Control Algorithm Based on a Novel Extended-State Observer for PMSM Drives

Zhao

Zhang

2019

Applied Sciences

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“…Conventional PID control which has weak robustness is incapable of dealing with nonlinear control, although it has the advantage of simple structure and easy implementation. PMSM is a multivariable and strongly coupled nonlinear system, thus having many factors in its control system, such as current coupling, system saturation, parameter perturbation, and external disturbance, which affect the performance of system directly [6]. Therefore, designing a control method with strong robustness, good dynamic performance, high control precision, and easy engineering implementation is the focus of research.…”

Section: Introductionmentioning

confidence: 99%

Position Tracking Control of PMSM Based on Fuzzy PID-Variable Structure Adaptive Control

Pei

Tang

et al. 2018

Mathematical Problems in Engineering

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A novel Fuzzy PID-Variable Structure Adaptive Control is proposed for position tracking of Permanent Magnet Synchronous Motor which will be used in electric extremity exoskeleton robot. This novel control method introduces sliding mode variable structure control on the basis of traditional PID control. The variable structure term is designed according to the sliding mode surface which is designed by system state equation, so it could compensate for the disturbance and uncertainty. Considering the chattering of sliding mode system, the fuzzy inference method is adopted to adjust the parameters of PID adaptively in real time online, which can attenuate chattering and improve control precision and dynamic performance of system correspondingly. In addition, compared with the traditional sliding mode control, this method takes the fuzzy PID control item to replace the equivalent control item of sliding mode variable structure control, which could avoid the control performance reduction resulted from modeling error and parameter error of system. It is proved that this algorithm can converge to the sliding surface and guarantee the stability of system by Lyapunov function. Simulation results show that Fuzzy PID-Variable Structure Adaptive Control enjoys better control precision and dynamic performance compared with traditional control method, and it improves the robustness of system significantly. Finally, the effectiveness and practicability of the algorithm are verified by the method of Rapid Control Prototyping on the semiphysical simulation test bench.

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“…Loria developed the robust linear control of chaotic PMSM with uncertainties [21] and further extended the adaptive linear control in PMSM [22]. And other control protocols were employed extensively including backstepping control [23], model predictive control [24], sensorless control [25], and others [26].…”

Section: Introductionmentioning

confidence: 99%

Fixed‐Time Stability Analysis of Permanent Magnet Synchronous Motors with Novel Adaptive Control

Liu

Sun

2017

Mathematical Problems in Engineering

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We firstly investigate the fixed-time stability analysis of uncertain permanent magnet synchronous motors with novel control. Compared with finite-time stability where the convergence rate relies on the initial permanent magnet synchronous motors state, the settling time of fixed-time stability can be adjusted to desired values regardless of initial conditions. Novel adaptive stability control strategy for the permanent magnet synchronous motors is proposed, with which we can stabilize permanent magnet synchronous motors within fixed time based on the Lyapunov stability theory. Finally, some simulation and comparison results are given to illustrate the validity of the theoretical results.

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Extended State Observer-Based Sliding Mode Control with New Reaching Law for PMSM Speed Control

Cited by 20 publications

References 22 publications

Predictive Speed-Control Algorithm Based on a Novel Extended-State Observer for PMSM Drives

Predictive Speed-Control Algorithm Based on a Novel Extended-State Observer for PMSM Drives

Position Tracking Control of PMSM Based on Fuzzy PID-Variable Structure Adaptive Control

Fixed‐Time Stability Analysis of Permanent Magnet Synchronous Motors with Novel Adaptive Control

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