Abstract
This study aims to present a modified adaptive fuzzy control (MAFC) for power quality improvement, whereby adaptive fuzzy control with parameter adaptive capability is employed to emulate optimal control. Different from conventional fuzzy control-based current control method without analytical tools to guarantee basic performance criteria, high-performance control system can be realized using Lyapunov-based adaptive fuzzy control. Also, in order to compensate the fuzzy approximation error (FAE) in conventional fuzzy control, a modified adaptive fuzzy control with adaptive compensator is developed. Unlike the existing approaches, adaptive compensator can estimate the optimal value of FAE with no need of upper bound of FAE. Simulation and experimental results verify that proposed control strategies reveal superior performance under different conditions.
Highlights
In recent years, power electrical devices have drawn more and more attention [1,2]
Reactive power and harmonic current cannot be compensated at the same time, especially for nonlinear loads with large fluctuation
The challenge for these control methods is highlighted when active power filter (APF) is adopted to eliminate harmonics caused by dynamic loads, where it was found that the deterioration of power quality is more serious during the variations, which leads to the parameter fluctuations and even unstable steady state compensation
Summary
Power electrical devices have drawn more and more attention [1,2]. Since the harmonics, produced by increasing power electrical devices, cause additional loss of motors and damage electrical equipments, harmonic filter plays a critical role in power systems [3, 4]. It will inevitably lead to high gain and chattering To solve this problem, Sun et al [22] used the adaptive law to estimate the optimal value of the optimal FAE. 3) The problem of optimal fuzzy approximation error (FAE) in adaptive fuzzy control structure has not been considered in the existing literature addressing APF control strategies. The major contributions of the study are listed as follows: 1) From the perspective of dynamic loads and parameter fluctuations, these uncertain factors during the operation process will reduce the reliability and efficiency of APF even leading to unstable steady state compensation. Due to the property of adaptive fuzzy control that is robustness and model-free, an adaptive fuzzy control scheme for APF is designed to improve the current tracking and harmonic-suppress performance.
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