Controller Design for Intelligent Networked Control Systems Using Interval Type-2 T-S Fuzzy Theory

• Main Authors: Jen-Han Kang, 康振涵
• Other Authors: Chwan-Lu Tseng
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/922b5j

碩士 === 國立臺北科技大學 === 電機工程系所 === 97 === With the highly development of the network techniques, the remote control using the Internet is getting popular. Due to the properties of data-transmission delay and packet loss, the performance of controllers designed by classic control theory may be unable to meet the system requirements. In order to resolve the problem, this thesis investigates the stability analysis and controller design for the networked control systems inherently with delay and packet loss properties. Firstly, the networked control systems are modeled as the dynamic interval type-2 T-S fuzzy systems. The modeling method can easily approximate or exact represent the original nonlinear delay systems. Also, the conception of parallel distributed compensation(PDC) is used to carry out the type-2 fuzzy controller. By adopting suitable Lyapunov functional, the robust stability of the considered system is analyzed. Note that the cumbersome delay terms appeared in the Lyapunov derivative are eliminated by linear matrix inequalities, and the control gain matrices can be obtained accordingly by solving the linear matrix inequalities. Moreover, in order to achieve better control results, the neural networks are employed to fine tuning the grade functions of the type-2 membership functions of the fuzzy control rules. Finally, the proposed fuzzy controller design is performed on the pendulum system and truck-trailer system and then simulated by using MATLAB software. Simulation result verifies the correctness and performance of the proposed method.