Controller Design of Flexible Double-Inverted Pendulum with Uncertainties Based on T-S Fuzzy Inference System
Mathematical modeling of the flexible double-inverted pendulum with uncertain friction coefficient is presented by Lagrange function in this paper.Based on Takagi-Sugeno fuzzy inference and parallel distributed compensation(PDC)theory,the controller design approach is proposed.Based on the concept of effective maximum overlap-rules group,the stability condition of T-S fuzzy system for flexible double-inverted pendulum is relaxed to finding a local public positive definite matrix.As a result,stability conservativeness of T-S fuzzy system is decreased.According to the new relaxed stability condition,linear matrix inequalities are designed for solving the feedback gain of each subsystem,and the controller based on parallel distributed compensation is given.Simulation results show that the designed controller can effectively control the uncertain flexible double-inverted pendulum.
Flexible double-inverted pendulum Adaptive fuzzy control T-S fuzzy systems
Jimin Yu Liangsheng Nan Linyan Huang
College of Automation,Chongqing University of Posts and Telecommunications,No.2,Chongwen Road,Nanan District,Chongqing,China
国际会议
The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)
福州
英文
233-243
2015-05-08(万方平台首次上网日期,不代表论文的发表时间)