Lin Peng, Lei Ma, Wensheng Song, 等. Reference-Input-Based Imaginary Axis Current Estimation Method for DQ Control Strategy in Single-Phase PWM Converters[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(5):2079-2087.
Lin Peng, Lei Ma, Wensheng Song, et al. Reference-Input-Based Imaginary Axis Current Estimation Method for DQ Control Strategy in Single-Phase PWM Converters[J]. CSEE Journal of Power and Energy Systems, 2024, 10(5): 2079-2087.
Lin Peng, Lei Ma, Wensheng Song, 等. Reference-Input-Based Imaginary Axis Current Estimation Method for DQ Control Strategy in Single-Phase PWM Converters[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(5):2079-2087.DOI: 10.17775/CSEEJPES.2020.04220.
Lin Peng, Lei Ma, Wensheng Song, et al. Reference-Input-Based Imaginary Axis Current Estimation Method for DQ Control Strategy in Single-Phase PWM Converters[J]. CSEE Journal of Power and Energy Systems, 2024, 10(5): 2079-2087.DOI: 10.17775/CSEEJPES.2020.04220.
Reference-Input-Based Imaginary Axis Current Estimation Method for DQ Control Strategy in Single-Phase PWM Converters
control strategies in single-phase pulse width modulation (PWM) converters
the
$\beta-\mathbf{axis}$
current must be created by imaginary axis current estimation (IACE) methods. The estimated error of the
$\beta-\mathbf{axis}$
current during the transient process causes
$d-q$
axis current loops to be incompletely decoupled
thereby affecting the dynamic performance of the current loop. The second-order generalized integrator (SOGI) method suffers from slow dynamic response. The fictive-axis emulation (FAE) method provides fast dynamic response but it is sensitive to circuit parameters. A reference-input (RI)-based IACE method is proposed to overcome the above shortcomings. According to the characteristic that the
$\beta-\mathbf{axis}$
current loop has no transient process
the
$\beta-\mathbf{axis}$
current is estimated by the
$d-q$
axis reference inputs. This is equivalent to introducing the
$\beta-\mathbf{axis}$
reference input as a feedforward term into the
$d-q$
axis current loop
so the parameter sensitivity problem is solve
d
and the parameter tuning is not needed. The proposed method can maintain good steady-state performance and significantly improve the dynamic performance of the current loop. Furthermore
it is straightforward and can be easily implemented in digital controllers. Comprehensive hardware-in-the-loop (HIL) experimental comparisons with the SOGI and FAE methods have been conducted to verify the correctness and effectiveness of the proposed RI-based IACE method.