Robust Model Predictive Direct Speed Control for SPMSM Drives Based on Full Parameter Disturbances and Load Observer

Zhang, Xiaoguang; Cheng, Yu; Zhao, Zhihao; He, Yikang

doi:10.1109/tpel.2019.2962857

Cited by 52 publications

(15 citation statements)

References 32 publications

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“…Lemma 1. Based on system (9) and the estimator (11), one can get that the observer (10) and estimator (11) can achieve good performance if the following inequality holds [20].…”

Section: Design Of the Combined Estimatormentioning

confidence: 99%

“…θ is determined by the experience and the bounds of disturbance signal. d − θ ≤ ρd, ρ ≤ 0, one can get that the observer (10) and estimator (15) can achieve good performance if the following inequality holds.…”

Section: Proof 1: the Lyapunov Function Is Defined Asmentioning

confidence: 99%

“…As is known to us all, many linear control methods based on transfer functions (the most popular one is PI control [9]) are sensitive to the system model accuracy, which is highly susceptible to external disturbances and internal parameter mismatch. Therefore, many scholars draw attention on nonlinear control design for PMSM, such as robust control [10], adaptive control [11], and sliding mode control [12].…”

Section: Introductionmentioning

confidence: 99%

“…The reference [17] develops a low-order adaptive instantaneous speed estimator (AISE) and a self-tuning control strategy to improve the speed control performance in a wide speed range with unknown inertia parameters. In reference [10], a model predictive direct speed control (MPDSC) method is proposed to get a good anti-disturbance ability for PMSM. It depends both on full parameter disturbances and load torque observer and the precise mathematical model parameters are not needed.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Simultaneous Load Disturbance Estimation and Speed Control for Permanent Magnet Synchronous Motors in Full Speed Range

Tian

Chai

2020

Applied Sciences

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Permanent magnet synchronous motors (PMSM), which are with the advantages of high torque-to-weight ratio and high efficiency, are widely applied in modern industrial systems. However, existing approaches may fail to accurately track the speed trajectory because of the load disturbances. This paper proposes an equivalent and combined control strategy to mitigate the slow time-varying load disturbances and decrease the overshoot for PMSM in full speed range. First, a state observer is proposed to reconstruct the current variables and speed state in the d-q axis. Hence, one can get the speed and position information without the sensors. Then, the disturbance and the load are estimated by the estimating law. Thus, it can reduce the effect of load and disturbances. Further, the PD control is introduced to weaken the overshoot. As a result, the speed trajectory can be more effectively hold both in high speed and low speed. Finally, numerical examples are presented to demonstrate the validity and effectiveness of the proposed estimation scheme and its robustness under different conditions.

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“…Lemma 1. Based on system (9) and the estimator (11), one can get that the observer (10) and estimator (11) can achieve good performance if the following inequality holds [20].…”

Section: Design Of the Combined Estimatormentioning

confidence: 99%

Section: Proof 1: the Lyapunov Function Is Defined Asmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simultaneous Load Disturbance Estimation and Speed Control for Permanent Magnet Synchronous Motors in Full Speed Range

Tian

Chai

2020

Applied Sciences

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“…The compensating control term is added for the uncertainty of PMSM parameters in this method. In [24]- [26], the model predictive control (MPC) method is utilized to obtain fast tracking performance and good anti-fluctuation performance. In [16]- [26], the complicated load fluctuation and the uncertainty of J and B are taken into account simultaneously, and the speed control performance is improved.…”

Section: Introductionmentioning

confidence: 99%

Speed Regulation Based on Adaptive Control and RBFNN for PMSM Considering Parametric Uncertainty and Load Fluctuation

et al. 2020

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A novel speed control scheme combining adaptive speed controller and radial basis function neural network (ASC-RBFNN) is proposed for the speed regulation of permanent magnet synchronous motor (PMSM) in this paper. On one hand, in order to reduce the effect of parametric uncertainty and complicated load fluctuation on the speed control performance, an ASC is proposed. Meanwhile, the speed control system (SCS) of PMSM with the proposed ASC is asymptotically stable even though the parametric uncertainty and complicated load fluctuation exist. On the other hand, with consideration of the uncertainty of complicated load, PMSM parameters, and ASC parameters, the RBFNN is used to optimize all ASC parameters for optimal speed control performance. Finally, the performance is verified on an experiment platform. The results indicate that the SCS with the ASC-RBFNN speed control scheme is with good system stability, fast speed response, and strong anti-fluctuation performance in whole-speed range.

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Finite control‐set model predictive direct speed control of a PMSM drive based on the Taylor series model

Wang

Zhang

Wei

et al. 2021

IET Electric Power Appl

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In the traditional finite control-set model predictive direct speed control (FCS-MPDSC), the coupling items in the current equation have been ignored because of predictive complexity, leading to imperfect prediction accuracy and control performance. Meanwhile, the current error and speed error are both included in the weighted sum cost function. The two types of errors lead to the difficulty of weight coefficients' distribution, which can only rely on subjective experiences. Thus, an FCS-MPDSC strategy based on the 2nd-Taylor-series model with quadratic cost function is proposed. The dynamic performance has been greatly improved because the input variables of the Taylor series model are unified as the basic voltage vector with the same control period. And the static error is also reduced as the weight coefficient matrix of the quadratic cost function is solved offline. On this basis, the verification experiments are carried out. The results show that a better dynamic and static performance is achieved at the same time by the proposed strategy.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Robust Model Predictive Direct Speed Control for SPMSM Drives Based on Full Parameter Disturbances and Load Observer

Cited by 52 publications

References 32 publications

Simultaneous Load Disturbance Estimation and Speed Control for Permanent Magnet Synchronous Motors in Full Speed Range

Simultaneous Load Disturbance Estimation and Speed Control for Permanent Magnet Synchronous Motors in Full Speed Range

Speed Regulation Based on Adaptive Control and RBFNN for PMSM Considering Parametric Uncertainty and Load Fluctuation

Finite control‐set model predictive direct speed control of a PMSM drive based on the Taylor series model

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