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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28140

Title: Comparison of Classical Control and Intelligent Control for a MIMO System
Authors: Jih-Gau Juang;Ren-Wei Lin;Wen-Kai Liu
Contributors: NTOU:Department of Communications Navigation and Control Engineering
Keywords: Classical control;Intelligent control;Fuzzy system;Genetic algorithm;MIMO system
Date: 2008-11-15
Issue Date: 2011-10-21T02:36:00Z
Publisher: Applied Mathematics and Computation
Abstract: abstract:This paper presents several classical control schemes and intelligent control schemes of an experimental propeller setup, which is called the twin rotor multi-input multi-output (MIMO) system. The objective of this study is to decouple the twin rotor MIMO system into the horizontal plane and vertical plane, and perform setpoint control that makes the beam of the twin rotor MIMO system move quickly and accurately in order to track a trajectory or to reach specified positions. We utilize the conventional control and intelligent control techniques in the vertical and horizontal planes of the twin rotor MIMO system. In classical control, three of the most popular controller design techniques are utilized in this study. These are the Ziegler–Nichols Proportional–Integral–Derivative (PID) rule, the gain margin and phase margin rule, and the pole placement method. Intelligent control is also proposed in this paper in order to improve the attitude tracking accuracy of the twin rotor MIMO system. Intelligent control designs are based on fuzzy logic system and genetic algorithm. Simulations show that the intelligent controllers have better performance than the classical controllers.
Relation: 205(2), pp.778–791
URI: http://ntour.ntou.edu.tw/handle/987654321/28140
Appears in Collections:[通訊與導航工程學系] 期刊論文

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