An Improved Deadbeat Control Method for Single-Phase PWM Rectifiers in Charging System for EVs

Wang, Ping; Bi, Yuxuan; Gao, Fei; Song, Tianbao; Zhang, Yun

doi:10.1109/tvt.2019.2937653

Cited by 55 publications

(16 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the corresponding control system is not stable, for the purpose of stabilizing the system and obtaining a margin, a gain less than 1 is usually introduced into the control channel, which is generally set to 1/2 [21], [23]. Therefore, in practical application for traditional deadbeat control strategy, the command voltage can be obtained by (11), and the corresponding control block diagram is shown in Fig.…”

Section: A Limitations Of Traditional Deadbeat Control Strategymentioning

confidence: 99%

“…For the studies of command current tracking control strategy, reference [21] introduces an average coefficient in the control channel at the cost of sacrificing the current tracking accuracy, so as to ensure the stability and dynamic performance of the APF control system. Reference [22] proposes a current tracking error elimination method, when the command current changes significantly, a compensation value is added in the output voltage command to offset the tracking error.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Improved Deadbeat Control Strategy Based on Repetitive Prediction Against Grid Frequency Fluctuation for Active Power Filter

2021

View full text Add to dashboard Cite

In order to improve the harmonic compensation performance of active power filter (APF) in distribution network, based on deadbeat control theory, the command current prediction algorithm and current tracking control strategy are optimized in this paper. Firstly, the command current repetitive prediction in abc coordinate system is transferred to dq for improving its accuracy in lead compensation, and the equivalent for fractional delay beat is achieved by Lagrange Interpolation Polynomial to solve the problem of inaccurate prediction caused by grid frequency fluctuation. Then, considering the inherent halfsampling-period delay of sinusoidal PWM (SPWM), an improved deadbeat control strategy for current tracking is proposed by estimating the output current of next sampling period. Because the output current in next sampling period is replaced by that in current sampling period with traditional deadbeat control strategy, this estimation could make up for the defect of low control precision caused by that replacement. After that, adding error repetitive correction into the improved deadbeat control channel to reduce the periodic tracking error of output current. Finally, the stability and accuracy of the improved control system are analyzed theoretically, and its feasibility and effectiveness are verified by the simulation and hardwarein-the-loop (HIL) experiments.

show abstract

Section: A Limitations Of Traditional Deadbeat Control Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Improved Deadbeat Control Strategy Based on Repetitive Prediction Against Grid Frequency Fluctuation for Active Power Filter

2021

View full text Add to dashboard Cite

show abstract

“…During the operation of the motor, the temperature of the motor changes, and the inductance parameter changes with temperature. These two reasons will make the inductance parameters used in the controller inconsistent with the actual inductance of the motor, which will affect the performance of the controller [30]- [32]. Inaccurate inductance parameters will result in poor current control, current harmonics, and current accuracy.…”

Section: B Improved Dbc Algorithmmentioning

confidence: 99%

Analysis of Current Predictive Control Algorithm for Permanent Magnet Synchronous Motor Based on Three-Level Inverters

Guo

et al. 2019

IEEE Access

View full text Add to dashboard Cite

In some high-precision control applications, such as defense industry and computerized numerical control machine tools, fast and stable electromagnetic torque response is required to ensure the high dynamic performance of the system, while traditional PI control often cannot meet its requirements. For this purpose, a predictive control algorithm based on the deadbeat control algorithm is proposed in order to improve the performance of the motor current loop. In order to solve the problem that the conventional deadbeat control algorithm has a large dependence on system parameters and low robustness, this paper proposes an improved deadbeat control scheme for the permanent magnet synchronous motor based on the three-level inverters. The scheme is based on the second theorem of Lyapunov stability. The improved deadbeat control algorithm can achieve a good output waveform when the switching frequency is not high and the response speed is fast. The robustness of the system is improved, and there are good characteristics in reduced torque ripple. Compared to the traditional PI regulators, the improved deadbeat control can quickly track the current commands without overshoot and oscillation and suppress torque ripple. The simulation and experimental results show that the improved deadbeat control proposed in this paper has good dynamic and static performance.

show abstract

“…A deadbeat model predictive control (DBC) was created, which effectively eliminated the errors caused by system calculation and sampling delay [20]. References [21,22] proposed a control method based on the two-vector optimal duty cycle and added deadbeat control technology, which effectively fixed the switching frequency and reduced the harmonic distortion rate of the grid-side current. However, the need for a large amount of calculation is still present.…”

Section: Introductionmentioning

confidence: 99%

Improved Model Predictive Current Control of Single-Phase Five-Level PWM Rectifier

et al. 2020

View full text Add to dashboard Cite

In this paper, a single-phase five-level rectifier with coupled inductors is studied. First, a discrete mathematical model of a single-phase five-level rectifier is created in two-phase(αβ). A traditional single vector finite control set model predictive control (FCS-MPC) algorithm is improved to overcome the problems of a varying switching frequency, the large amount of time needed for calculation, and the inaccurate setpoint of current loop tracking. Then, the objective function of the system is established, and a simple objective function is used instead of an iterative optimization of the traditional FCS-MPC algorithm. At the same time, to eliminate the delay error and to reduce harmonic distortion, deadbeat control technology is introduced. Finally, the simulation and experimental results show that the improved model predictive current control algorithm not only retains the fast response of traditional model predictive control, but also has the advantages of fixed switching frequency, small calculation time, and small current steady-state error.

show abstract

An Improved Deadbeat Control Method for Single-Phase PWM Rectifiers in Charging System for EVs

Cited by 55 publications

References 24 publications

An Improved Deadbeat Control Strategy Based on Repetitive Prediction Against Grid Frequency Fluctuation for Active Power Filter

An Improved Deadbeat Control Strategy Based on Repetitive Prediction Against Grid Frequency Fluctuation for Active Power Filter

Analysis of Current Predictive Control Algorithm for Permanent Magnet Synchronous Motor Based on Three-Level Inverters

Improved Model Predictive Current Control of Single-Phase Five-Level PWM Rectifier

Contact Info

Product

Resources

About