DEVELOPMENT OF AN ACTIVE POWER FILTER BASED ON SLIDING MODE CONTROL AND RBF NETWORKS, 149-156.
Huiyue Zhang, Ming Li, and Ying Wang
Keywords
Active power filters, sliding mode control, neural networks
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.
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