Robust Predictive Current Control With Parallel Compensation Terms Against Multi-Parameter Mismatches for PMSMs

Li, Yongfei; Wang, Qian

doi:10.1109/tec.2020.3002274

Cited by 25 publications

(9 citation statements)

References 28 publications

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“…Considering the small sampling interval T s , the angular velocity of the rotor can be seen as constant [30,[32][33][34][35]. Consequently, the discrete model of the PMSM system can be given as Equation ( 9).…”

Section: The Proposed Compensation Scheme Of Vsi Nonlinearity Using Dp-czd 41 Dp-czd and Compensation Of Vsi Nonlinearitymentioning

confidence: 99%

“…It can be seen from Equation ( 9) that current prediction is based on the parameters of the drive system, including sampling interval, electrical speed, stator winding resistance, stator inductance and permanent magnetic flux linkage [33][34][35]. Obviously, the mismatch of the above parameters would lead to the error in the current prediction.…”

Section: Dp-czd With Parameter Uncertaintymentioning

confidence: 99%

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VSI Nonlinearity Compensation of a PMSM Drive System Using Deadbeat Prediction Based Current Zero-Crossing Detection

Zhou

Liu

et al. 2021

WEVJ

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Due to the nonlinearities of the voltage-source inverter (VSI) in a permanent magnet synchronous machine (PMSM) drive system, there is always an error between the reference voltage and the actual output voltage. To compensate the voltage error, many schemes have been proposed based on the phase current polarity. However, due to factors such as current clamping, measurement noises, and control system delay, the accuracy of the detected current polarity is relatively low, especially when the current is around zero, which would therefore affect the compensation performance. To solve this issue, a deadbeat prediction-based current zero-crossing detection method (DP-CZD) is proposed in this paper. With the proposed method, the measured three-phase currents are replaced by the predicted three-phase currents in terms of the polarity determination, when the absolute value of the phase current is within the threshold range. Compared with the conventional phase current polarity detecting methods, the proposed method can greatly improve the accuracy of detected current polarity due to its smooth transient waveform, and consequently, contributes to the much higher accuracy and lower total harmonic distortion (THD) in the compensation of VSI nonlinearity, which is verified through a prototype surface-mounted PMSM.

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Section: The Proposed Compensation Scheme Of Vsi Nonlinearity Using Dp-czd 41 Dp-czd and Compensation Of Vsi Nonlinearitymentioning

confidence: 99%

Section: Dp-czd With Parameter Uncertaintymentioning

confidence: 99%

VSI Nonlinearity Compensation of a PMSM Drive System Using Deadbeat Prediction Based Current Zero-Crossing Detection

Zhou

Liu

et al. 2021

WEVJ

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“…For this reason, parallel integral controllers are added (Fig. 5) to improve the control robustness [23]. The composite voltage command signals are then transformed back to

abc

frame and the space vector pulse width modulation method is used to decide switching states in the NPC controller.…”

Section: Wind Power Generator Modelling and Controlmentioning

confidence: 99%

DC voltage control for MMC‐based railway power supply integrated with renewable generation

Sun

et al. 2020

IET Renewable Power Generation

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Capacitor voltage of the ith submodule of MMC u ref jcir MMC phase j circulating current control reference,j = a, b, c u jcom Common mode voltage of MMC phase j, j = a, b, c, e, f u jdif Differential mode voltage of MMC phase j, j = a, b, c, e, f u jl Voltage of all inserted submodules in MMC phase j lower branches, j = a, b, c, e, f u ref josc Traction side converter oscillation current suppression control reference in MMC phase j, j = e, f u ju Voltage of all inserted submodules in MMC phase j upper branches, j = a, b, c, e, f V dc Nominal MMC dc link voltage v M d The d axis generator terminal voltage v M q The q axis generator terminal voltage

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“…In [10][11][12][13], the disturbance observer, linear extended state observer and sliding mode observer have been used to eliminate the effect of the parameter mismatch. In addition, it is a very effective method that adding compensation term in the closedloop deadbeat control system to eliminate the static control error of stator current, such as adding an integral link in the deadbeat controller [14][15][16]. And the introduction of intelligent algorithm will also improve the dynamic and steady performance of current control under the parameter mismatch condition [17].…”

Section: Introductionmentioning

confidence: 99%

“…According to the number of intersection points, step 3 can be executed in the following three situations: ① If n k+0.5 > 1, there is no need to update voltage vector and three-phase PWM duty cycle at T (k+0.5) time, just output pulse according to the three-phase PWM duty cycle calculated at T (k+0.25) time.② If n k+0.5 = 1, the reference current tracking at the T (k+1) time is taken as the target, and the reference voltages u d PR (k + 0.5) and u q PR (k + 0.5) of d and q axes are recalculated according to Equation(10). According to u d PR (k + 0.5) and u q PR (k + 0.5), the rotor position angle and the PWM duty cycle of one phase, the PWM duty cycles of another two phases are recalculated according to Equation(14).…”

mentioning

confidence: 99%

A novel deadbeat predictive current control of permanent magnet synchronous motor based on oversampling scheme

Wang

Xie

Jin

et al. 2021

IET Electric Power Appl

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When the speed of permanent magnet motor is relatively high, the fundamental frequency of stator voltage and current will rise. However, due to the limitation of switching frequency of power electronic devices, the switching times of power devices will be greatly reduced in a fundamental cycle of stator voltage. For the traditional control method with constant switching frequency mode, the control algorithm is executed only once in a carrier wave cycle, which will result in a low control frequency operating condition for the PMSM control system. At this time, the dynamic and steady-state control performance of stator current will be decreased. In response to above problem, this paper proposed a deadbeat predictive current control method based on oversampling scheme, which the core algorithm of current loop operated four times and updated the PWM duty twice in one switching cycle. The number of control times of the proposed method is greater than that of the conventional method when the conventional deadbeat method and the proposed method adopt the same switching cycle. Therefore, the control method does not increase the switching frequency of power devices, but improves the dynamic and stable performance of the system, especially under the highspeed condition.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 Predictive Current Control With Parallel Compensation Terms Against Multi-Parameter Mismatches for PMSMs

Cited by 25 publications

References 28 publications

VSI Nonlinearity Compensation of a PMSM Drive System Using Deadbeat Prediction Based Current Zero-Crossing Detection

VSI Nonlinearity Compensation of a PMSM Drive System Using Deadbeat Prediction Based Current Zero-Crossing Detection

DC voltage control for MMC‐based railway power supply integrated with renewable generation

A novel deadbeat predictive current control of permanent magnet synchronous motor based on oversampling scheme

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