Backstepping-based genetic fuzzy-neural controller and its application in motor control with buck DC-DC converters

Yih Guang Leu, Jian You Lin, Yi Chuan Lu

研究成果: 雜誌貢獻期刊論文同行評審

摘要

In this paper, a genetic adaptive fuzzy-neural control scheme is proposed for a class of multiple-input multiple-output (MIMO) nonlinear systems. The control scheme incorporates backstepping design into the genetic algorithm with a backstepping-based fitness function. Using the backstepping-based fitness function, the genetic algorithm can be used to adjust the parameters of the fuzzy-neural networks in order to instantaneously generate the appropriate control strategy. The genetic algorithm has a simplified procedure with the backstepping-based fitness function which is used to evaluate the real-time stability of the closed-loop systems. To illustrate the feasibility and applicability of the proposed method, simulation and experimental results are provided.

原文英語
頁(從 - 到)207-219
頁數13
期刊International Journal of Computational Intelligence in Control
12
發行號2
出版狀態已發佈 - 2020 七月 1

ASJC Scopus subject areas

  • 生物技術
  • 計算力學
  • 電腦科學應用
  • 資訊系統與管理
  • 人工智慧

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