碩士 / 國立成功大學 / 造船及船舶機械工程學系 / 88 / In this study, we combined the H∞ control theory with Fuzzy-Adaptive controller to improve the tracking performance of Fuzzy-Adaptive controller in nonlinear cases. The unbiased estimation of states must be satisfied for Fuzzy-Adaptive controller to attenuate the tracking
asymptically without disturbance, yet it is well known that the parameters and states of nonlinear systems are unknown, and the unbiased estimation of states is impossible for Fuzzy-Adaptive controller in nonlinear cases. If then the tracking performance of Fuzzy-Adaptive controller is always poor in nonlinear cases. In order to improve the tracking performance of Fuzzy-Adaptive controller, we combined it with H∞control theory to form an intelligent robust controller which is called “Fuzzy-Adaptive H∞ controller.” The new controller makes H∞ controller more intelligent and enables Fuzzy-Adaptive controller to have a better performance. Finally, the computer simulation results reveal that the external disturbance and fuzzy approximation error on tracking error can be attenuated efficiently if the weighting factors are properly chosen. The Resulting performances are also good at positioning and orientation.
| Identifer | oai:union.ndltd.org:TW/088NCKU0345034 |
| Date | January 2000 |
| Creators | T.F. Hou, 侯天富 |
| Contributors | Cheng Neng Hwang, 黃正能 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 66 |
Page generated in 0.0015 seconds