Design of Radial Basis Function Neural Networks Controller Based on Sliding Surface for a Coupled Tanks System

摘要：

In this paper, the level control of coupled tanks is investigated. We developed a radial basis function1 neural networks based on sliding mode for control of coupled tanks system. In this study we used sliding surface and generalized learning rule to eliminate jacobain problem in adaptive neural networks controllers. The simulation results show that the proposed controller is able to control coupled tanks and the chattering phenomenon of conventional switching type sliding mode control does not occur in this study.

关键词： Radial basis function Sliding mode Coupled Tanks system Sliding surface Neural networks

作者: M.Aliasghary H.Ghasemzadeh A.Naderi A.Pourazar

作者单位: Control Engineering Department, Faculty of Electronics Engineering, Istanbul Technical University Is Microelectronics Research Laboratory of Urmia University Urmia, Iran Electronic Engineering Department,Faculty of Electronics Engineering, Istanbul Technical University Electronic Engineering Department University of Tabriz Tabriz, Iran

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 8-12

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）