JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 35 Issue 2
April 2020
Article Contents
LIU Hongxia, ZHAO Hongmei and ZHAO Liuyang. Research on Buck-Boost circuit control algorithm in induction heating power supply[J]. Journal of Light Industry, 2020, 35(2): 100-108. doi: 10.12187/2020.02.013
Citation: LIU Hongxia, ZHAO Hongmei and ZHAO Liuyang. Research on Buck-Boost circuit control algorithm in induction heating power supply[J]. Journal of Light Industry, 2020, 35(2): 100-108. doi: 10.12187/2020.02.013 shu

Research on Buck-Boost circuit control algorithm in induction heating power supply

  • Received Date: 2019-07-01
  • Aiming at the shortcomings of the control algorithm in the induction heating power supply, such as small anti-interference ability, low accuracy, and poor self-adaptability, a sliding mode control algorithm with RBF neural network was designed.Based on the analysis of Buck-Boost circuit topology, a mathematical model of the induction heating power supply with the Bock-Boost circuit was established using the basic state space modeling method. The sliding mode algorithm control law was designed. The RBF neural network was introduced into the conventional sliding mode control algorithm to solve the problem of difficult parameter setting and large chatter of the conventional sliding mode controller, so the self-optimization of the parameters of the sliding mode controller was realized.The simulation results showed that the anti-interference and adaptive ability of the sliding mode control algorithm based on RBF neural network was superior to the PID control algorithm,and it had better practicability.
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