Nonlinearity estimation and compensation of PWM VSI for PMSM under resistance and flux linkage uncertainty

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.

show abstract

“…The three-phase voltage distortions V err as , V err bs and V err cs due to VSI nonlinearity can be expressed as follows [15]:…”

Section: Mathematical Model Of Pmsm System Considering the Vsi Nonlinearitymentioning

confidence: 99%

“…Then, the distortion voltage is estimated by minimizing the harmonics. Finally, the disturbance voltage due to the VSI nonlinearity is suppressed by performing feedback compensation [4,[15][16][17][18][19];…”

Section: Introductionmentioning

confidence: 99%

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

Zhou

Liu

et al. 2021

WEVJ

View full text Add to dashboard Cite

show abstract

“…However, parameters of power devices vary with operating conditions, making it less accurate to compensate the inverter disturbance with offline experiment results [9]. Then, online methods which can estimate inverter disturbance instantaneously are proposed [10][11][12][13]. Reference [10] proposes an online method to compute the disturbance voltage, but it requires additional hardware circuits to detect the zero crossing of phase current.…”

Section: Introductionmentioning

confidence: 99%

“…With the assumption that disturbance voltage changes slowly during a sampling interval, [11] presents an online method which uses an open-loop observer based on ideal motor model to estimate the disturbance voltage. Closed-loop observers are proposed and show good experiment results in estimating disturbance which needs to tune parameters such as observer gains elaborately [12,13]. In [12], a disturbance observer based on the model reference adaptive system (MRAS) is proposed, which considers the parameter uncertainty caused by the varying operating condition of a PMSM.…”

Section: Introductionmentioning

confidence: 99%

“…In [12], a disturbance observer based on the model reference adaptive system (MRAS) is proposed, which considers the parameter uncertainty caused by the varying operating condition of a PMSM. The output voltage of inverter measured by voltage sensors can be used to calculate the disturbance voltage [13], but there are errors due to either the limited sampling frequency of A/D converters or phase lag of filter. Moreover, additional hardware raises the cost of the system.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Compensation for Inverter Nonlinearity in Permanent Magnet Synchronous Motor Drive and Effect on Torsional Vibration of Electric Vehicle Driveline

Wang

2018

Energies

View full text Add to dashboard Cite

Permanent magnet synchronous motors (PMSMs) with inverters are widely used in electric vehicles (EVs). However, current harmonics caused by the nonlinearity of the inverter generate torque ripples and give rise to torsional vibration in the vehicle driveline. This paper proposes a new compensation method to suppress the torque ripples. This method extracts the 6th-order harmonic component online from the d-axis and q-axis currents with the approximate Fourier transform, and adopts a harmonic current PI regulator to calculate compensation voltage, which is added to the voltage reference to compensate the nonlinearity of the inverter. After correcting the current distortion and improving the motor torque smoothness, the torsional vibration of the driveline caused by the motor pulsating torque is reduced. According to the simulation results, the 6th-order of motor torque ripple and the torsional vibration response is reduced about 26–28%, which confirms the validity of the proposed strategy. The proposed method does not need any additional hardware and can be implemented broadly in PMSM drives.

show abstract

Maximum power tracking of variable‐speed wind energy conversion systems based on a near‐optimal servomechanism control system

Sarsembayev

Zholtayev

Duc

2022

Optim Control Appl Methods

View full text Add to dashboard Cite

In this article, integral servomechanism based state‐dependent Riccati equation (SDRE) nonlinear output feedback control for wind energy conversion systems (WECSs) has been proposed. The numerical off‐line solving the proposed SDRE control requires to formulate algebraic Riccati equation and algebraic Lyapunov equation. This method approximates the solution of SDRE with Taylor series expansions which are solved with MATLAB solvers. The maximum power point tracking is achieved by defining relation between the optimal angular shaft speed and maximum power providing optimal tip speed ratio in variable‐speed WECSs. The proposed control can significantly reduce the angular shaft speed errors of the permanent magnet synchronous generator (PMSG)‐based WECSs without use of disturbance observers to compensate model uncertainties, modeling errors and noise as in the conventional SDRE control method. The simulation results demonstrate the superior results under mean average errors and root mean square error evaluation methods of the angular shaft speed of PMSG. The performance of the proposed integral servomechanism based SDRE control system has been improved by 80.67% and 80.05% in both scenarios compared to the conventional SDRE control based on compensation technique with disturbance observers.

show abstract

Nonlinearity estimation and compensation of PWM VSI for PMSM under resistance and flux linkage uncertainty

Cited by 127 publications

References 10 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

Compensation for Inverter Nonlinearity in Permanent Magnet Synchronous Motor Drive and Effect on Torsional Vibration of Electric Vehicle Driveline

Maximum power tracking of variable‐speed wind energy conversion systems based on a near‐optimal servomechanism control system

Contact Info

Product

Resources

About