北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2012, Vol. 35 ›› Issue (1): 1-4.doi: 10.13190/jbupt.201201.1.houhq

• 论文 •    下一篇

BTT控制系统T-S模糊滑模控制及仿真

侯洪庆1, 刘刚1, 苗倩2, 王明昊1   

  1. 1.第二炮兵工程大学九系,西安 710025 2.第二炮兵工程大学四系,西安 710025
  • 出版日期:2012-02-28 发布日期:2012-02-28
  • 作者简介:侯洪庆(1980-),男,博士生,E-mail:20016109@163.com

A New T-S Fuzyy Sliding Mode Control and Its Simulation for BTT Control System

HOU  Hong-Qiang1, LIU  Gang1, MIAO  Qian2, WANG  Meng-Hao1   

  1. 1.9th Department,Second Artillery Engineering University, Xi'an 710025,China 2.4th Department,Second Artillery Engineering University, Xi'an 710025,China
  • Online:2012-02-28 Published:2012-02-28

摘要:

针对倾斜转弯(BTT)控制系统所具有的非线性、快时变性和模型不确定性问题,研究了一种基于模糊T-S模型的模糊自适应控制器.利用反馈线性化方法设计滑模控制器,针对控制系统的非线性部分利用模糊T-S模型逼近,采用李雅普诺夫方法证明了所设计的非线性控制系统的渐进稳定性,并推导出自适应律,对控制器进行了仿真验证,仿真结果表明跟踪性能良好。

关键词: 倾斜转弯控制, 模糊控制, 滑膜控制, 自适应控制

Abstract:

An adaptive fuzzy controller based on fuzzy T-S model is designed to the question of bank-to-turn control system nonlinear model uncertainties and fast variable time characterizes. And a new sliding mode controller is designed by feedback linearization method. The T-S fuzzy model is used as a universal approximates to approximate the unknown nonlinear part of the control system. Also, Lyapunov stability theory is applied to guarantee the closed-loop stability. The asymptotic stability of nonlinear control system is proven, and the adaptive law is derived. Simulation demenstrates the controller achieved excellent tracking preformance.

Key words: bank-to-turn control, fuzzy control, sliding mode control, adaptive control

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