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Title page for etd-0129113-161015


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 indicate in-campus access at 2 years and off-campus access at 2 years
    Date of Defense 2013-01-22 Date of Submission 2013-01-30


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