Adaptive Backstepping Fuzzy Neural Controller Based on Fuzzy Sliding Mode of Active Power Filter

Yunmei Fang,Tengteng Wang,Juntao Fei

doi:10.1109/access.2020.2995755

Yunmei Fang, Tengteng Wang + Show 1 more

Open Access

https://doi.org/10.1109/access.2020.2995755

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Abstract

An adaptive backstepping fuzzy neural network (FNN) controller using a fuzzy sliding mode controller is designed to suppress the harmonics and improve the performance of a shunt active power filter (APF). A backstepping method transforms the APF system into a series of subsystems and uses the virtual control to simplify the controller design. A FNN controller is utilized to approach the nonlinear APF system. An adaptive fuzzy system is employed to adjust the sliding gain to compensate the approximation error of neural network and diminish the chattering. The weights of the fuzzy neural network and fuzzy system parameters are adjusted in real-time to guarantee the asymptotic stability of the designed control system. Simulation and experiemental studies indicate the validitiy of the proposed control method, demonstrating the good compensation performance and strong robustness.

Highlights

Nonlinear electronic devices in power grid often produce a large number of harmonic voltages or harmonic currents, which affect the power quality seriously and increase additional loss of power system equipment
Motivated from the researches above, an adaptive backstepping fuzzy neural network control of active power filter (APF) using a fuzzy sliding scheme is proposed for harmonic compensation
An adaptive fuzzy neural network controller using a fuzzy sliding mode controller is derived for the harmonic supression of a shunt APF

Summary

INTRODUCTION

Nonlinear electronic devices in power grid often produce a large number of harmonic voltages or harmonic currents, which affect the power quality seriously and increase additional loss of power system equipment. Y. Fang et al.: Adaptive Backstepping Fuzzy Neural Controller Based on Fuzzy Sliding Mode of APF systems in [19]. A robust backstepping high-order sliding mode control strategy is proposed for grid-connected dg units with harmonic current compensation capability in [20]. Adaptive intelligent control methods such as fuzzy control and neural control have been investigated to improve the power dynamic performance of shunt active power filter in [23]–[27]. Motivated from the researches above, an adaptive backstepping fuzzy neural network control of APF using a fuzzy sliding scheme is proposed for harmonic compensation. The adaptive backstepping fuzzy neural network control is developed to avoid establishing accurate mathematical model of APF and make controller design simpler and easier. The simulation and experimental results indicate the effectiveness of the proposed method under both dynamic and steady state operations, showing the good performance in harmonic suppression

DYNAMIC MODEL OF ACTIVE POWER FILTER

Lc dvk dt

Findings

CONCLUSION