Announcement for Downloading full text filePlease respect the Copyright Act.
All digital full text dissertation and theses from this website are authorized the copyright owners. These copyrighted full-text dissertation and theses can be only used for academic, research and non-commercial purposes. Users of this website can search, read, and print for personal usage. In respect of the Copyright Act of the Republic of China, please do not reproduce, distribute, change, or edit the content of these dissertations and theses without any permission. Please do not create any work based upon a pre-existing work by reproduction, Adaptation, Distribution or other means.
URN etd-0129113-161015 Statistics This thesis had been viewed 1761 times. Download 312 times. Author Chien-Ting Chen Author's Email Address No Public. Department Mechanical Engineering Year 2012 Semester 1 Degree Master Type of Document Master's Thesis Language English Page Count 58 Title Robust Tracking Design Based on Adaptive Fuzzy Control of Fully-Actuated and Under-Actuated MIMO Nonlinear Systems with Time Delayed Uncertainty Keyword 雷卡提不等式 時間延遲不確定性 可變結構技巧 間接自適應模糊控制 H∞ 控制 多輸入多輸出非線性系統 雙倒單擺系統 雙質量彈簧系統 塔式吊車系統 塔式吊車系統 雙質量彈簧系統 雙倒單擺系統 多輸入多輸出非線性系統 H∞ 控制 間接自適應模糊控制 可變結構技巧 時間延遲不確定性 雷卡提不等式 Abstract It is proposed here a robust tracking design based on adaptive fuzzy control technique to control for a class of fully-acutuated and under-actuated multi-input multi-output (MIMO) nonlinear systems with time delayed uncertainty in which each uncertainty is assumed to be bounded by an unknown gain. This technique will overcome modeling inaccuracies, such as drag and friction losses, effect of time delayed uncertainty, as well as parameter uncertainties. The proposed control law is based on indirect adaptive fuzzy control. A fuzzy model is used to approximate the dynamics of the nonlinear MIMO system; then, two on-line estimation schemes are developed to overcome the nonlinearities and identify the gains of the delayed state uncertainties, simultaneously. The advantage of employing an adaptive fuzzy system is the use of linear analytical results instead of estimating nonlinear system functions with an online update law. The adaptive fuzzy scheme uses a Variable Structure (VS) scheme to resolve the system uncertainties, time delayed uncertainty and the external disturbances such that H∞ tracking performance is achieved. The control laws are derived based on a Lyapunov criterion and the Riccati-inequality such that all states of the system are uniformly ultimately bounded (UUB). Therefore, the effect can be reduced to any prescribed level to achieve H∞ tracking performance. Finally the fully-actuated system as a two-connected inverted pendulums system on carts and a two-damper-of-freedom system, and the under-actuated system as a tower crane system are used to validate the performance of the proposed fuzzy scheme. Advisor Committee Ming-Guo Her - advisor
Jia-Yush Yen - co-chair
Wen-Shyong Yu - co-chair
Files Date of Defense 2013-01-22 Date of Submission 2013-01-30