Inverter Nonlinearity Compensation Through Deadtime Effect Estimation

Lee, Joon-Hee; Sul, Seung-Ki

doi:10.1109/tpel.2021.3061285

Cited by 32 publications

(3 citation statements)

References 18 publications

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“…However, the calculation process of the adaptive notch filter will greatly increase the operation time of the system, and the system delay has a great influence on the suppression performance of the notch filter. In [28], the influence of different modulation methods on the deadtime effect is analyzed, and the nonlinear characteristics are identified by comparing the continuous pulse width modulation (PWM) and discontinuous PWM. However, in practical applications, to ensure the stability of the working conditions, the modulation method cannot usually be changed, so this method is not practical.…”

Section: Previous Solutionsmentioning

confidence: 99%

The Online Parameter Identification Method of Permanent Magnet Synchronous Machine under Low-Speed Region Considering the Inverter Nonlinearity

Zhang

Fan

2022

Energies

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To realize the high-performance control of a servo system, parameter accuracy is very important for the design of the controller. Thus, the online parameter identification method has been widely researched. However, the nonlinearity of the inverter will lead to an increase in resistance identification error and the fluctuation of inductance identification results. Especially in the low-speed region, the influence of the inverter is more obvious. In this paper, an offline neural network is proposed considering the parasitic capacitance to identify the nonlinearity of the inverter. Based on the Kirchhoff equation in the static state of the motor, the nonlinear voltage equation is established, and the gradient direction of the weight coefficients has been re-derived. Using the gradient descent method, the identification error can converge to zero. Moreover, the d-axis voltage equation is established considering the nonlinearity of the inverter and an online adaptive observer was proposed. Based on the Lyapunov equation, the adaptive laws are derived. Further, the decoupling of the deadtime voltage and resistance voltage is realized by using the result of neural network identification. With the proposed algorithm, nonlinear identification of the inverter characteristics is realized, and the resistance and inductance identification accuracy in the low-speed region is improved. The effectiveness of the proposed methods is verified through experimental results.

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Section: Previous Solutionsmentioning

confidence: 99%

The Online Parameter Identification Method of Permanent Magnet Synchronous Machine under Low-Speed Region Considering the Inverter Nonlinearity

Zhang

Fan

2022

Energies

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“…To prevent the short circuit fault, the dead time needs to be added during the modulation process in the VSI [17,18]. Since the dead-time causes the distortion of the inverter output voltage and the gird-side current [19], many compensation schemes for VSI have been proposed to suppress the deadtime effect, such as pulse duration compensation [20], average voltage compensation [21], and adaptive harmonic compensation [22]. Different from VSI, the shoot-through is a normal switching state of the CSI, but the open circuit…”

Section: Introductionmentioning

confidence: 99%

Overlap Time Compensation and Characteristic Analysis for Current Source Photovoltaic Grid-Connected Inverter

Xu,

Liu,

Miao

2024

Energies

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In the current source photovoltaic grid-connected system, to prevent the DC-link inductor from incurring an opening circuit fault, it is necessary to include the overlap time in the switching signals. However, current error and serious harmonic distortion in the inverter-side and grid-side currents are generated, which will cause additional losses and reduce the power quality of the grid, so it is important to compensate for the current error caused by the overlap time. In this paper, the relationship between the nonlinear current errors caused by the overlap time and the AC-side voltage is analyzed. Then, the mathematical expression of the low-order harmonics with losses caused by the overlap time is derived. On this basis, a current error compensation method with a discrete filter of AC-side voltage is proposed. Finally, a simulation and experiment are carried out to verify the correctness and effectiveness of the theoretical analysis and compensation scheme presented in this paper. With an overlap time of 3 μs, the THD of the grid-side current decreases from 5.93% to 1.59% after compensation.

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“…There is extensive research on the topic of compensating inverter switching dead time harmonics that explores various techniques and approaches for compensating the harmonics caused by switching dead time. These methods involve data-intensive approaches where compensation voltage values are extracted from lookup tables (LUTs) [2], as well as the utilization of observers [3] and other methods that require careful parameter tuning [4]. All of these techniques are specifically employed to achieve effective dead time compensation.…”

Section: Introductionmentioning

confidence: 99%

Current Harmonics Minimization of Permanent Magnet Synchronous Machine Based on Iterative Learning Control and Neural Networks

Mai,

Liu,

Wagner

et al. 2023

Machines

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Electrical machines generate unwanted flux and current harmonics. Harmonics can be suppressed using various methods. In this paper, the harmonics are significantly reduced using Iterative Learning Control (ILC) and Neural Networks (NNs). The ILC can compensate for the harmonics well for operation at constant speed and current reference values. The NNs are trained with the data from the ILC and help to suppress the harmonics well even in transient operation. The simulation model is based on flux and torque maps, depending on dq-currents and the electrical angle. The maps are generated from FEM simulation of an interior permanent magnet synchronous machine (IPM) and are published with the paper. They are intended to serve other researchers for direct comparison with their own methods. Simulation results in this paper verify that by using ILC and NNs together, current harmonics in transient operation can be eliminated better than without NNs.

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Inverter Nonlinearity Compensation Through Deadtime Effect Estimation

Cited by 32 publications

References 18 publications

The Online Parameter Identification Method of Permanent Magnet Synchronous Machine under Low-Speed Region Considering the Inverter Nonlinearity

The Online Parameter Identification Method of Permanent Magnet Synchronous Machine under Low-Speed Region Considering the Inverter Nonlinearity

Overlap Time Compensation and Characteristic Analysis for Current Source Photovoltaic Grid-Connected Inverter

Current Harmonics Minimization of Permanent Magnet Synchronous Machine Based on Iterative Learning Control and Neural Networks

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