Adaptive Backstepping Control with Online Parameter Estimator for a Plug-and-Play Parallel Converter System in a Power Switcher

Chujia Guo, Aimin Zhang, Hang Zhang and Lei Zhang
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Chujia Guo: School of Electronic and Information Engineering, Xi’an Jiaotong University, No. 28, West Xianning Road, Xi’an 710049, China
Aimin Zhang: School of Electronic and Information Engineering, Xi’an Jiaotong University, No. 28, West Xianning Road, Xi’an 710049, China
Hang Zhang: School of Electrical Engineering, Xi’an Jiaotong University, No. 28, West Xianning Road, Xi’an 710049, China
Lei Zhang: School of Electronics and Information, Xi’an Polytechnic University, No. 19, South Jinhua Road, Xi’an 710049, China

Energies, 2018, vol. 11, issue 12, 1-18

Abstract: This study aims to address the inherent uncertainty in plug loads and load extraction, distributed generation, and the inevitable circulating current in a parallel structure. Therefore, in this paper, an adaptive backstepping control scheme with an online parameter estimator (OPE) for a plug-and-play parallel converter system in a four-port power switcher is proposed. The adaptive backstepping control method was designed in the dq0 coordinate system to suppress the circulating current in the zero-component; the circulating current can be suppressed by using an embedded algorithm and omitting the extra controller. An adaptive update law was designed to weaken the influence of the arbitrary plug and extraction operations in the DC and AC buses to realize the plug-and-play function. The transient tracking performance is governed by the limitation of maximum total errors in the voltage and current. As a result, the settling times of the voltage, current, and power decreased. Additionally, to further improve the system robustness, an online inductance and resistance estimator was established using an optimal algorithm that solves the weighted least squares problem. In the estimator, there are no additional voltage and current sensors needed, and the mean squared error (MSE) of the estimation can be minimized. Simulation studies on a two-converter parallel system with a plug-and-play function were conducted using MATLAB/SIMULINK (R2018b, MathWorks, Natick, MA, USA) to verify the effectiveness of the proposed adaptive backstepping control strategy. The results show that this strategy improves system performance over that of a system with unbalanced parameters among a parallel structure with AC and DC system disturbances caused by arbitrary plug and extraction operations.

Keywords: power switcher; parallel structure; circulation current; backstepping control; Lyapunov function; weighted least squares (WLS) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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