Static error elimination algorithm for PMSM predictive current control

Geng, Geng Wang; Ming, Ming Yang; Li, Li Niu; Xianguo, Xianguo Gui; Dianguo, Dianguo Xu

doi:10.1109/chicc.2014.6896282

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…However, the parameter identification algorithms are usually complex and time-consuming, so when they are executed in each switching frequency, the calculation delay problem gets unexpectedly exacerbated. Papers [19] and [20] use current errors to estimate the real-time flux so as to remove the d-axis current static errors, but integrators have to be adopted, lowering the system bandwidth and dynamics. In addition, another interesting solution to the parameter mismatch issue is to construct the perturbation observers that can be integrated into the prediction plant model [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Robust Perturbation Observer-based Finite Control Set Model Predictive Current Control for SPMSM Considering Parameter Mismatch

Liu

Zhao

2019

Energies

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In order to improve the dynamics of the surface-mounted permanent magnet synchronous motors (SPMSM) used in servo systems, finite control set model predictive current control (FCS-MPCC) methods have been widely adopted. However, because the FCS-MPCC is a model-based strategy, its performance highly depends on the machine parameters, such as the winding resistance, inductance and flux linkage. Unfortunately, the parameter mismatch problem is common due to the measurement precision and environmental impacts (e.g., temperature). To enhance the robustness of the SPMSM FCS-MPCC systems, this paper proposes a Lundberg perturbation observer that is seldom used in the FCS model predictive control situations to remove the adverse effects caused by resistance and inductance mismatch. Firstly, the system model is established, and the FCS-MPCC mechanism is illustrated. Based on the machine model, the sensitivity of the control algorithm to the parameter mismatch is discussed. Then, the Luenberger perturbation observer that can estimate the general disturbance arising from the parameter uncertainties is developed, and the stability of the observer is analyzed by using the discrete pole assignment technique. Finally, the proposed disturbance observer is incorporated into the FCS-MPCC prediction plant model for real-time compensation. Both simulation and experiments are conducted on a three-phase SPMSM, verifying that the proposed strategy has marked control performance and strong robustness.

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Section: Introductionmentioning

confidence: 99%

Robust Perturbation Observer-based Finite Control Set Model Predictive Current Control for SPMSM Considering Parameter Mismatch

Liu

Zhao

2019

Energies

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“…Furthermore, an integral can be introduced for error compensation. In [16], the current error integral is introduced, and the parameter of the flux linkage is dynamically adjusted to cancel the error. In [17], a new method that introduces the current error into the control signal through an integral sliding mode term for error compensation is proposed.…”

Section: Introductionmentioning

confidence: 99%

Deadbeat Predictive Current Control for Surface-Mounted Permanent-Magnet Synchronous Motor Based on Weakened Integral Sliding Mode Compensation

Zhang,

Ji,

You

et al. 2023

Applied Sciences

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Deadbeat predictive current control (DPCC) has excellent dynamics and can achieve current control with less computational effort. However, its control performance relies on the precision of the parameters of the motor. Current static error will be generated and control performance will be decreased when the predictive model parameters do not correspond to the practical parameters of the motor. In this article, a weakened integral sliding mode compensation method is proposed which converts the current error into a voltage compensation term and adds it to the prediction control output to effectively compensate for the steady-state error. In addition, a boundary layer is introduced to weaken the integral so as to solve the problems of integral saturation and overshoot caused by the introduction of the integral term when the error is large. Moreover, weight factors are introduced to optimize the feedback current, which enhances the robustness of the system. In the end, the effectiveness of this method is verified via simulation and experimental results.

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“…But this control method is an open loop control. References [7][8][9][10] have proposed different methods to improve the steadystate performance of deadbeat predictive control, but those methods have limited effect on some motors with strong nonlinearities.…”

Section: Introductionmentioning

confidence: 99%

Two-Vector FCS-MPC for Permanent-Magnet Synchronous Motors Based on Duty Ratio Optimization

Sheng

Ji³

2018

Mathematical Problems in Engineering

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The servo system of a permanent-magnet synchronous motor usually consists of current, speed, and position loops. Compared with conventional PI control, finite-control-set model predictive control (FCS-MPC) has the advantage of fast response. Conventional FCS-MPC relies on the precise parameters of system model and has large current ripple. To address that problem, this paper proposed an improved FCS-MPC based on duty ratio optimization in synchronous rotating reference frame. To get more precise voltage vector, the proposed FCS-MPC selects the optimal vector combination and, respectively, calculates the time duration. Moreover, feedback correction is also applied to improve the robustness of the control strategy. The simulation results validate the effectiveness of the algorithm.

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Static error elimination algorithm for PMSM predictive current control

Cited by 6 publications

References 12 publications

Robust Perturbation Observer-based Finite Control Set Model Predictive Current Control for SPMSM Considering Parameter Mismatch

Robust Perturbation Observer-based Finite Control Set Model Predictive Current Control for SPMSM Considering Parameter Mismatch

Deadbeat Predictive Current Control for Surface-Mounted Permanent-Magnet Synchronous Motor Based on Weakened Integral Sliding Mode Compensation

Two-Vector FCS-MPC for Permanent-Magnet Synchronous Motors Based on Duty Ratio Optimization

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