Predictive Current Control for PMSM Systems Using Extended Sliding Mode Observer With Hurwitz-Based Power Reaching Law

Ke, Dongliang; He, Long; Li, Zheng

doi:10.1109/tpel.2020.3043489

Cited by 36 publications

(16 citation statements)

References 28 publications

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“…To circumvent this obstacle, a first-order filter combined with the backstepping control approach [ 5 ] is created by Swaroop, called dynamic surface control [ 6 ]. Despite dynamic surface control methods [ 7 , 8 , 9 ], that can reduce computing efforts, various nonlinear factors such as time delays, external disturbances, and physical constraints are ubiquitous in real industrial scenarios [ 10 , 11 ], which may diminish the controlling precision of the PMSM systems. Researchers have proposed proportional integral derivative (PID) control [ 12 ], neural network (NN) [ 5 ], time delay control [ 13 , 14 ], disturbance observer (DO) [ 15 , 16 ], and constraint control [ 17 , 18 ] methods for different nonlinearities to reach satisfying control results.…”

Section: Introductionmentioning

confidence: 99%

Neural Adaptive Funnel Dynamic Surface Control with Disturbance-Observer for the PMSM with Time Delays

Zhang

et al. 2022

Entropy

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This paper suggests an adaptive funnel dynamic surface control method with a disturbance observer for the permanent magnet synchronous motor with time delays. An improved prescribed performance function is integrated with a modified funnel variable at the beginning of the controller design to coordinate the permanent magnet synchronous motor with the output constrained into an unconstrained one, which has a faster convergence rate than ordinary barrier Lyapunov functions. Then, the specific controller is devised by the dynamic surface control technique with first-order filters to the unconstrained system. Therein, a disturbance-observer and the radial basis function neural networks are introduced to estimate unmatched disturbances and multiple unknown nonlinearities, respectively. Several Lyapunov-Krasovskii functionals are constructed to make up for time delays, enhancing control performance. The first-order filters are implemented to overcome the “complexity explosion” caused by general backstepping methods. Additionally, the boundedness and binding ranges of all the signals are ensured through the detailed stability analysis. Ultimately, simulation results and comparison experiments confirm the superiority of the controller designed in this paper.

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Section: Introductionmentioning

confidence: 99%

Neural Adaptive Funnel Dynamic Surface Control with Disturbance-Observer for the PMSM with Time Delays

Zhang

et al. 2022

Entropy

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“…In the literature [38], an improved exponential reaching law was proposed, which reduced the chattering of the control input and ensured high tracking performance. A novel power reaching law was proposed by Ke et al, which achieved the high convergence rate compared with the conventional reaching laws [39]. Xu et al proposed a new approach base on nonsingular fast terminal sliding-mode control to solve fault-tolerant control, and ensure that the system states converge within a finite time [40].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Sliding Mode Control via Backstepping for an Air-Breathing Hypersonic Vehicle Using a Double Power Reaching Law

Huang

Jiang

2022

Applied Sciences

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This paper presents a backstepping-based adaptive sliding mode control scheme using a new double power reaching law for an air-breathing hypersonic vehicle (AHV) with uncertainties. A novel double power reaching law is proposed to speed up the state stabilization. A backstepping control scheme is proposed for a class of high-order nonlinear system with uncertainties. Then, a novel sliding mode controller using the new double power reaching law is developed to maintain the high tracking performance of the AHV. In order to further attenuate the influence of uncertainties, new adaptive laws are employed. Lastly, simulation studies show that the novel double power reaching law can guarantee that the state of the system converges to zero equilibrium in fixed time, and the controller proposed can effectively reduce the influence of uncertainties on the AHV and achieve good tracking performance.

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“…Among the disturbance observers, the sliding mode observer (SMO) is the most commonly used for disturbance estimation owing to its strong robustness [26]- [29]. Reference [26] proposes a new extended sliding mode disturbance observer for interior permanent magnet synchronous motor to compensate for the impact of the lumped disturbance.…”

Section: Introductionmentioning

confidence: 99%

“…Reference [28] presents an extended SMO that can observe the mismatches of the electrical parameter, including resistance, inductance, and flux linkage. In [29], an extended SMO is designed to estimate the stator current and the lumped disturbance to improve the robustness of the permanent magnet synchronous motor. The simulation and experimental results of these SMO-based control researches have demonstrated that the deployment of the SMO can enhance the system's disturbance suppression ability.…”

Section: Introductionmentioning

confidence: 99%

Current Decoupling Control of Linear Synchronous Motor Based on an Improved Sliding Mode Observer

Shi

Lan

2022

IEEE Access

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This paper proposes an improved sliding mode observer (ISMO) for the current decoupling control of the linear synchronous motor (LSM) to improve the dynamic performance of the LSM system. The proposed ISMO is based on variable power and exponential terms. By comparing the convergence time of the proposed ISMO and the conventional sliding mode observer (CSMO), we find that the ISMO can achieve a high convergence rate than the CSMO with the appropriate parameter options. Because the ISMO is established based on the extended state equation of the lumped disturbances, which includes the current coupling interferences and parameter variation disturbances, the ISMO-based decoupling control (ISMO-DC) can suppress these two types of disturbances simultaneously. The stability analysis based on the Lyapunov stability theory guarantees the convergence of the proposed ISMO. The experimental results verify the effectiveness of the proposed method in achieving a better decoupling control performance for the LSM system.INDEX TERMS Decoupling control, linear synchronous motor, robustness, sliding mode observer.

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Predictive Current Control for PMSM Systems Using Extended Sliding Mode Observer With Hurwitz-Based Power Reaching Law

Cited by 36 publications

References 28 publications

Neural Adaptive Funnel Dynamic Surface Control with Disturbance-Observer for the PMSM with Time Delays

Neural Adaptive Funnel Dynamic Surface Control with Disturbance-Observer for the PMSM with Time Delays

Adaptive Sliding Mode Control via Backstepping for an Air-Breathing Hypersonic Vehicle Using a Double Power Reaching Law

Current Decoupling Control of Linear Synchronous Motor Based on an Improved Sliding Mode Observer

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