Novel Composite Sliding Mode Control for PMSM Drive System Based on Disturbance Observer

Xu, Wei; Jiang, Yajie; Mu, Chao

doi:10.1109/tasc.2016.2611623

Cited by 94 publications

(38 citation statements)

References 25 publications

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“…Taking the time derivative of the sliding mode surface (20), according to Lemma 1, and substituting (20) into (21), (21) can be rewritten as follows:…”

Section: Lemma 1 (Referring To [31]) Fractional Derivatives Andmentioning

confidence: 99%

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A Sliding Mode Control with Nonlinear Fractional Order PID Sliding Surface for the Speed Operation of Surface‐Mounted PMSM Drives Based on an Extended State Observer

Peng

Zhang

Ouyang

et al. 2019

Mathematical Problems in Engineering

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A novel sliding mode controller (SMC) with nonlinear fractional order PID sliding surface based on a novel extended state observer for the speed operation of a surface-mounted permanent magnet synchronous motor (SPMSM) is proposed in this paper. First, a new smooth and derivable nonlinear function with improved continuity and derivative is designed to replace the traditional nonderivable nonlinear function of the nonlinear state error feedback control law. Then, a nonlinear fractional order PID sliding mode controller is proposed on the basis of the fractional order PID sliding surface with the combination of the novel nonlinear state error feedback control law to improve dynamic performance, static performance, and robustness of the system. Furthermore, a novel extended state observer is designed based on the new nonlinear function to achieve dynamic feedback compensation for external disturbances. Stability of the system is proved based on the Lyapunov stability theorem. The corresponding comparative simulation results demonstrate that the proposed composite control algorithm displays good stability, dynamic properties, and strong robustness against external disturbances.

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“…Taking the time derivative of the sliding mode surface (20), according to Lemma 1, and substituting (20) into (21), (21) can be rewritten as follows:…”

Section: Lemma 1 (Referring To [31]) Fractional Derivatives Andmentioning

confidence: 99%

“…In another research [19], a nonsingular terminal SMC was proposed for the speed control of PMSMs. A novel speed controller was designed by the nonsingular terminal SMC with a disturbance observer for the velocity control of PMSMs [20]. In some researches [21,22], an adaptive SMC was designed for the speed and current control of PMSMs.…”

Section: Introductionmentioning

confidence: 99%

A Sliding Mode Control with Nonlinear Fractional Order PID Sliding Surface for the Speed Operation of Surface‐Mounted PMSM Drives Based on an Extended State Observer

Peng

Zhang

Ouyang

et al. 2019

Mathematical Problems in Engineering

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show abstract

“…After parameter estimation, the observer can estimate the external disturbances and immediately provide feedback to the speed controller. Compared with the DOB-based method, the SMO-based method has many advantages such as robustness to disturbances, insensitivity to parameter variations, and flexible gain coefficient adjustment [27,30]. In References [27,28], an extended sliding mode observer (ESMO) was applied to estimate the system parameters, obtaining good observation results.…”

Section: Introductionmentioning

confidence: 99%

Sliding Mode Observer-Based Parameter Identification and Disturbance Compensation for Optimizing the Mode Predictive Control of PMSM

Shao

Deng

et al. 2019

Energies

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This paper reports on the optimal speed control problem in permanent magnet synchronous motor (PMSM) systems. To improve the speed control performance of a PMSM system, a model predictive control (MPC) method is incorporated into the control design of the speed loop. The control performance of the conventional MPC for PMSM systems is destroyed because of system disturbances such as parameter mismatches and external disturbances. To implement the MPC method in practical applications and to improve its robustness, a compensated scheme with an extended sliding mode observer (ESMO) is proposed in this paper. Firstly, for observing if and when the system model is mismatched, the ESMO is regarded as an extended sliding mode parameter observer (ESMPO) to identify the main mechanical parameters. The accurately obtained mechanical parameters are then updated into the MPC model. In addition, to overcome the influence of external load disturbances on the system, the observer is regarded as an extended sliding mode disturbance observer (ESMDO) to observe the unknown disturbances and provide a feed-forward compensation item based on the estimated disturbances to the model predictive speed controller. The simulation and experimental results show that the proposed ESMO can accurately observe the mechanical parameters of the system. Moreover, the optimized MPC improves the dynamic response behavior and exhibits a satisfactory disturbance rejection performance.

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“…7,8 Along with the development of nonlinear theory, various effective control theories have already been investigated for the position servo system of PMSM, such as sliding mode control, fuzzy-sliding mode control, nonlinear sliding mode control, passivity-based control (PBC), adaptive control, predictive functional control, explicit model predictive control, iterative learning control, robust control, and recurrent Elman neural network. [9][10][11][12][13][14][15][16][17][18][19] However, the above-mentioned advanced control methods have the merits and drawbacks, respectively, which can significantly improve the robustness of control system, but at the expense of its motion accuracy. For instance, the robustness of sliding mode control comes at the cost of the well-known chattering and the phase delay.…”

Section: Introductionmentioning

confidence: 99%

Passivity-based control for rocket launcher position servo system based on improved active disturbance rejection technology

Wang

Hou

et al. 2018

Advances in Mechanical Engineering

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In order to achieve high motion accuracy and better robustness of the rocket launcher position servo system driven by a permanent magnet synchronous motor, a passivity-based controller based on improved active disturbance rejection control is proposed in this article. The convenient method of interconnection and damping assignment and passivitybased control is adopted to establish the port-controlled Hamiltonian system with dissipation model of permanent magnet synchronous motor. To further enhance the robustness and adaptability of the traditional active disturbance rejection controller, an improved active disturbance rejection control strategy-based radical basis function neural network is introduced to on-line update the proportional and derivative gains of improved active disturbance rejection controller. The results of numerical simulation and bench test indicate that the proposed improved active disturbance rejection control passivity-based control algorithm has advantages of smaller overshoot, fast response, small steady-state error, and strong robustness. It proves that the proposed control scheme is effective and suitable.

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Novel Composite Sliding Mode Control for PMSM Drive System Based on Disturbance Observer

Cited by 94 publications

References 25 publications

A Sliding Mode Control with Nonlinear Fractional Order PID Sliding Surface for the Speed Operation of Surface‐Mounted PMSM Drives Based on an Extended State Observer

A Sliding Mode Control with Nonlinear Fractional Order PID Sliding Surface for the Speed Operation of Surface‐Mounted PMSM Drives Based on an Extended State Observer

Sliding Mode Observer-Based Parameter Identification and Disturbance Compensation for Optimizing the Mode Predictive Control of PMSM

Passivity-based control for rocket launcher position servo system based on improved active disturbance rejection technology

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