Three-Vector Model Predictive Current Control of Permanent Magnet Synchronous Motor Based on SVM

Lin, Hongmin; Song, Wenxiang

doi:10.1109/precede.2019.8753364

Cited by 13 publications

(10 citation statements)

References 14 publications

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“…In [9], a dual-vector model predictive current control strategy is proposed, which combines a non-zero vector with a zero vector to adjust the active voltage vector amplitude, reducing voltage errors and suppressing current ripple to some extent, but the output voltage still falls in six active voltage vector directions, and the current ripple is still significant. In [10], a Three Vector Model Predictive Current Control (TV-MPCC) strategy is proposed, which combines two active voltage vectors and a zero vector to cover any amplitude and direction of the output voltage, effectively reducing current ripple and improving steady-state performance.…”

Section: Introductionmentioning

confidence: 99%

Three‐vector model‐free predictive control for permanent magnet synchronous motor

Wen,

Zhang,

Zhang

2023

IET Power Electronics

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A three‐vector model‐free predictive control (TV‐MFPC) strategy is proposed to address the problem of model predictive control systems performance degradation caused by parameter mismatch and inverter dead‐zone. Firstly, an ultra‐local model is constructed for parameter mismatch and dead‐zone. Then, to improve the adaptive capability of the observer to parameter variations, sliding mode control is introduced, and an Improved Extended State Observer (IESO) is designed to estimate unknown disturbances in the ultra‐local model and provide feedforward compensation for the current loop. Finally, the proposed strategy is experimentally validated, and the results demonstrate that it reduces dependence on the model, suppresses the phase current distortion caused by dead‐zone, and improves the robustness of the control system.

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Section: Introductionmentioning

confidence: 99%

Three‐vector model‐free predictive control for permanent magnet synchronous motor

Wen,

Zhang,

Zhang

2023

IET Power Electronics

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“…The strategy loses zero vector regulation amplitude, and steady-state performance is not improved. Based on [6,7], a three-vector model predictive current control strategy is proposed [8]. Combining the two active voltage vectors and zero vector, the output voltage can cover any amplitude and direction, effectively reducing the current ripple and improving steady-state performance.…”

Section: Introductionmentioning

confidence: 99%

Optimal Duty Cycle Model Predictive Current Control Based on Internal Model Observer for PMSM

Wen¹,

Zhang²,

Zhang³

2022

PIER C

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This paper presents an optimal duty cycle model predictive current control (ODC-MPCC) strategy based on the internal model observer (IMO) for permanent magnet synchronous motor (PMSM). First, in order to be able to control the current quickly and better, the partial derivative of the cost function with respect to the optimal duty cycle is directly used. On this basis, a five-segment algorithm is used to allocate the optimal duty cycle and output voltage with arbitrary amplitude and direction. In addition, to reduce the current static error under parameter mismatch, the IMO is designed to estimate the system disturbance caused by parameters variation which is used for feedforward compensation. Finally, experiments show that the proposed method can effectively reduce the current ripple and static error and improve the steady-state performance of the system.

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“…In the PMSM system, the performance of the entire control system is determined by the control properties of the current inner loop [1]. To improve the control performance of PMSM, scholars have extensively studied thecurrent loop control method [2][3][4][5][6][7][8] .…”

Section: Introductionmentioning

confidence: 99%

“…Reference [6], on the basis of reference [5], uses recursive least squares estimation to further optimize the robust current prediction algorithm, thereby reducing the error caused by the mismatch of model parameters and improving the robustness of the system. Reference [7] compensates the delay caused by calculating the basic vector based on the vector machine principle and the deadbeat control principle. Reference [8] proposed a robust fault-tolerant predictive current control method which can eliminate motor parameter disturbance.…”

Section: Introductionmentioning

confidence: 99%

A Predictive Control Method for Improving the Robustness of Permanent Magnet Synchronous Motor

2022

Proceedings of WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications

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The high-performance permanent magnet synchronous motor control system requires higher performance such as speed tracking ability and current response speed. To this end, this paper proposes a predictive control method for improving the robustness of permanent magnet synchronous motor. The outer loop adopts closed-loop rolling optimized rotational speed predictive control to improve the speed tracking capability. For the irreversible delay of one beat of the digital control system, the inner loop adopts Newton interpolation compensation deadbeat current predictive control enables the system to have stronger dynamic response capability. Then a reduced-order load observer is designed to improve the disturbance immunity of the system under load changes. Finally, the feasibility of the proposed control method is verified by simulation, and the steady-state accuracy and robustness of the proposed control method are higher than that of the traditional deadbeat current predictive control method.

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Three-Vector Model Predictive Current Control of Permanent Magnet Synchronous Motor Based on SVM

Cited by 13 publications

References 14 publications

Three‐vector model‐free predictive control for permanent magnet synchronous motor

Three‐vector model‐free predictive control for permanent magnet synchronous motor

Optimal Duty Cycle Model Predictive Current Control Based on Internal Model Observer for PMSM

A Predictive Control Method for Improving the Robustness of Permanent Magnet Synchronous Motor

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