Uncertainty-and-Disturbance-Estimator-Based Current Control Scheme for PMSM Drives With a Simple Parameter Tuning Algorithm

Ren, Jianjun; Ye, Yongqiang; Guang-hu, XU; Zhao, Qiangsong; Zhu, Mingzhe

doi:10.1109/tpel.2016.2607228

Cited by 87 publications

(33 citation statements)

References 21 publications

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“…The eigenvalues −α and −β of the matrix A m are influenced by the system itself, so the adjustable range of A m is small and γ plays an important role in asymptotic reference tracking. A simple dual-loop parameter tuning algorithm for PMSMs is adjusted by the current reference tracking performance in [19]. This method avoids the trial-and-error procedure, but is not suitable for IPMSMs.…”

Section: The Ude-based Control Lawmentioning

confidence: 99%

“…The d-axis current reference is modified by comparing the switching period and summation of active switching times for inverter pulse width modulation control in the flux-weakening region, thus extending the hexagon of the space vector modulation in [14]. The smooth switching between the constant torque region and the flux-weakening region is realized by using the amplitude of inverter output voltage and d-axis current as input of set-reset flip-flop in [15].Recently, an uncertainty and disturbance estimator (UDE)-based control has attracted much attention and has been applied to unknown time delay systems, nonlinear systems, and power converters [16][17][18][19][20][21][22]. The algorithm assumes that an unknown continuous signal can be estimated by an appropriate filter and compensated to the control system.…”

mentioning

confidence: 99%

“…The UDE-based method is applied to the inverter for improving the output voltage quality of the inverter and reducing the total harmonic distortion in [16,17], and this method improves the stability of the system in nonaffine and nonlinear systems [18]. The UDE-based control is applied to surface permanent magnet synchronous motor and proposes a simple parameter tuning algorithm in [19], but does not analyze the operating condition in flux-weakening regions. The influence of different filters on the system has been discussed in detail [20].…”

mentioning

confidence: 99%

“…Recently, an uncertainty and disturbance estimator (UDE)-based control has attracted much attention and has been applied to unknown time delay systems, nonlinear systems, and power converters [16][17][18][19][20][21][22]. The algorithm assumes that an unknown continuous signal can be estimated by an appropriate filter and compensated to the control system.…”

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confidence: 99%

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An Improved UDE-Based Flux-Weakening Control Strategy for IPMSM

Zhang

et al. 2019

Energies

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Interior permanent magnet synchronous motors (IPMSMs) are usually used in electric vehicle drives and in other applications. In order to enlarge the speed range of IPMSMs, the flux-weakening control method is adopted. The traditional flux-weakening control strategy degrades the control performance because of parameter mismatches caused by variation of motor parameters. An improved uncertainty and disturbance estimator (UDE)-based flux-weakening control strategy is proposed for IPMSM drives in this paper. The parameter tuning method in the UDE-based control is improved. In addition, a flux-weakening adjusting factor is put forward to reduce the torque fluctuation when the operation point switches between the constant torque region and the flux-weakening region. This factor can be adjusted online by a lookup table. Finally, the validity of proposed method is verified by the simulation and experimental results. The results show that the proposed control strategy can effectively enhance the robustness of the system in the flux-weakening region, and make the system switch more smoothly between the constant torque region and the flux-weakening region.Energies 2019, 12, 4077 2 of 17 method. The influence of magnetic saturation and stator resistance are considered in [7], and an optimal control strategy is proposed. However, the flux observation is limited by the rotor position in this strategy. A linearized and constrained model predictive control is put forward to the flux-weakening control in [8]. However, this method involves a large amount of calculation and is extremely sensitive to parameter variation. In order to suppress the influence of parameter variation on the system, a voltage feedback control strategy is applied in the flux-weakening region. A flux-weakening current output by a proportional integral (PI) controller is added to the d-axis current reference. The input of the PI controller is the difference between the output voltage amplitude and the maximum available voltage amplitude of inverter. This method is simple, independent of motor parameters, and has good robustness, but the dynamic performance needs to be improved. The conventional voltage feedback method is improved in [9]. The difference between DC link voltage and output voltage of current controller is used to calculate the phase angle of reference current space vector by an adaptive algorithm. However, the global stability of the IPMSM system cannot be guaranteed. A single current regulator is proposed to improve the voltage utilization of the DC bus in [10]. This method eliminates the poor effect caused by the coupling of the d and q axis current, but the decrease of efficiency and stability is still not to be ignored. A line modulation-based flux-weakening control was proposed to maximize the DC bus voltage utilization in [11].The difference between the output voltage amplitude and the maximum voltage amplitude of the inverter is regarded as the judgment of whether to enter the flux-weakening region to reduce the switching fluctuation caus...

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Section: The Ude-based Control Lawmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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An Improved UDE-Based Flux-Weakening Control Strategy for IPMSM

Zhang

et al. 2019

Energies

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“…It is able to quickly estimate and compensate uncertainties and disturbances, providing exceptional robust performance. The UDE-based control strategy has been further elaborated in [23] - [25] and successfully applied to several control problems [26] - [31]. The two-degree of freedom nature of UDE controllers identified in [23] is utilized in this paper to decouple the tracking and disturbance rejection of inverters.…”

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confidence: 99%

UDE-Based Controller Equipped with a Multi-Band-Stop Filter to Improve the Voltage Quality of Inverters

Gadelovits

Zhong

Kadirkamanathan

et al. 2017

IEEE Trans. Ind. Electron.

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Abstract-In this paper, a method to directly shape the output impedance of an inverter is proposed to reduce the total harmonic distortion of the output voltage, based on the uncertainty and disturbance estimator (UDE)-based robust control framework. It is shown that, because of the two-degree-of-freedom feature of the UDE-based control strategy, the UDE filter directly affects the inverter output impedance. A multi-band-stop filter instead of a commonly adopted low-pass filter is then proposed to directly minimize the output impedance around the harmonics to reduce the effect of nonlinear loads and assure robustness to frequency variations. Two trade-offs are revealed: one between filter bandwidth and stability and the other between robustness and the number of harmonics suppressed. The effectiveness of the proposed control strategy is fully supported by experimental results.

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High‐performance PMSM self‐tuning speed control system with a low‐order adaptive instantaneous speed estimator using a low‐cost incremental encoder

Cao

Wang

Shen

2020

Asian Journal of Control

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In practical industrial applications, the control performance in a wide speed range is hard to ensure, especially under the low-speed condition with a low-cost incremental encoder, while the unknown structure parameters may also degrade the tracking performance. This paper proposes a low-order adaptive instantaneous speed estimator (AISE) and a self-tuning control strategy to promote the speed control performance in a wide speed range with unknown inertia parameters. Together with the adaptive-Kalman-filter-based AISE, a novel measurement noise variance updating scheme, which allows more appropriate compensation in the different speed range than fixed error variance, is introduced through the theoretical analysis based on probability and stochastic process. Moreover, an easy-to-implement self-tuning law, integrated with an online recursive-least-square-based parameters identification method, is developed to tune the speed controller, while the AISE is also adjusted online to ensure the control performance with a considerable variation of load inertia.All strategies were implemented in a TMS320F28335-based permanent magnet synchronous motor (PMSM) control system with a low-cost 2500-line incremental encoder, and the results demonstrated the effectiveness of the proposed techniques. KEYWORDSadaptive Kalman Filter, instantaneous speed estimator, measurement noise adaptation, motor control, parameter self-tuning Recently, high-performance PMSM speed control system has been more and more popular in many industrial applications, such as robots, manufacturing instruments, hybrid or pure electric vehicles, due to the demand of high precision, high reliability, and user-friendliness. However, there are many obstacles to achieve high-performance PMSM speed control [1][2][3][4][5][6]. Among them, how to acquire the speed information accurately and rapidly is one of the principal challenges. In traditional PMSM applications, the methods by direct detection from the position sensors, including frequency measurement and period measurement [7,8], is widely applied. These methods are usually reliable owing to the development and progress of the sensor technology in the past decades, while there are

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Uncertainty-and-Disturbance-Estimator-Based Current Control Scheme for PMSM Drives With a Simple Parameter Tuning Algorithm

Cited by 87 publications

References 21 publications

An Improved UDE-Based Flux-Weakening Control Strategy for IPMSM

An Improved UDE-Based Flux-Weakening Control Strategy for IPMSM

UDE-Based Controller Equipped with a Multi-Band-Stop Filter to Improve the Voltage Quality of Inverters

High‐performance PMSM self‐tuning speed control system with a low‐order adaptive instantaneous speed estimator using a low‐cost incremental encoder

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