Development of an active power filter based on sliding mode control and RBF networks
Department
Robotics and Mechatronics Engineering
Document Type
Article
Publication Date
4-29-2021
Abstract
In this article, an active power filter (APF) integrating sliding mode control and the radial basis function neural network (RBFNN) is proposed to track and suppress harmonic wave components generated by nonlinear loads in a power grid. The mathematical model of the APF is derived, and the sliding mode control strategy is presented. In addition, an RBFNN is proposed to approximate to the nonlinear characteristics of the plant so as to improve the controller's performance. The simulation and experimental results validate the effectiveness of the proposed approach.
Journal Title
Mechatronic Systems and Control
Journal ISSN
25611771
Volume
49
Issue
3
First Page
149
Last Page
156
Digital Object Identifier (DOI)
10.2316/J.2021.201-0238
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