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-1006105-163421 Statistics This thesis had been viewed 3499 times. Download 1011 times. Author Chin-Ping Chang Author's Email Address email@example.com Department Electrical Engineering Year 2004 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 72 Title DESIGN OF A HYBRID FUZZY LOGIC PROPORTIONAL PLUS INTEGRAL-DERIVATIVE CONTROLLER FOR A CLASS OF NONLINEAR SYSTEMS Keyword fuzzy control fuzzy control Abstract In this thesis, we used PID-type controller as the foundation, to develop a hybrid fuzzy logic proportional term plus conventional integral and derivative terms (FUZZY P+ID) controller for improving the control response. This kind of controller is constructed by using an incremental fuzzy logic controller in place of the proportional term in the conventional PID controller. This thesis basic principle of this study is to reduce the parameters of a fuzzy controller to be tuned so that, in comparison with the PID-type controller, only one additional parameter should be adjusted. Using conventional PID controller, however, it is difficult to achieve a desired tracking control performance since the dynamic equations of a plant for the manipulator are tightly coupled, highly nonlinear and uncertain. In order to improve the tracking control performance under uncertainty, we propose a new hybrid control scheme for the nonlinear plants, which consists of a fuzzy logic proportional controller and a conventional integral and derivative controller (FUZZY P+ID). Finally, detailed numerical design processes and simulation results are performed to illustrate the effectiveness of the proposed scheme. Advisor Committee Wen-Shyong Yu - advisor
none - co-chair
none - co-chair
Files Date of Defense 2005-06-24 Date of Submission 2005-10-06