Prediction and Analyis of the Dynamic Behavior of Nonlinear Systems

碩士 === 國立成功大學 === 化學工程學系碩博士班 === 90 === High nonlinearity existing in most chemical processes could result in complicated dynamic behavior, including multiple steady states, limit cycles, period doubling, torus and chaos. This thesis analyzes a continuous stirred tank reactor system often encountere...

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Main Authors: Chiang-Hsiang Fan, 范景翔
Other Authors: Shyh-Hong Hwang
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/6yc846
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spelling ndltd-TW-090NCKU50630312018-06-25T06:05:01Z http://ndltd.ncl.edu.tw/handle/6yc846 Prediction and Analyis of the Dynamic Behavior of Nonlinear Systems 非線性系統動態行為之預測與分析 Chiang-Hsiang Fan 范景翔 碩士 國立成功大學 化學工程學系碩博士班 90 High nonlinearity existing in most chemical processes could result in complicated dynamic behavior, including multiple steady states, limit cycles, period doubling, torus and chaos. This thesis analyzes a continuous stirred tank reactor system often encountered in the process industry. Generic bifurcation points of the system are explored and the dynamics in the vicinity of each bifurcation point are predicted based on center manifold projection and normal form provided by bifurcation theory. First, we analyze the linearized stability of the CSTR system under various open-loop operating ranges. Subsequently, a proportional and a proportional-integral controller are introduced, and the resulting nonlinear dynamic behavior near the controller-induced bifurcation points are observed by adjusting the controller gains. Under proportional control, the normal form model gives immediately the amplitude and stability of the limit cycle, which are consistent with the simulation results. Under proportional-integral control, we can identify the route from period doubling to chaos with changes in the controller gains. Finally, parameter values at which period doubling occurs is further confirmed by the Feigenbaum number. Shyh-Hong Hwang 黃世宏 2002 學位論文 ; thesis 122 zh-TW
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description 碩士 === 國立成功大學 === 化學工程學系碩博士班 === 90 === High nonlinearity existing in most chemical processes could result in complicated dynamic behavior, including multiple steady states, limit cycles, period doubling, torus and chaos. This thesis analyzes a continuous stirred tank reactor system often encountered in the process industry. Generic bifurcation points of the system are explored and the dynamics in the vicinity of each bifurcation point are predicted based on center manifold projection and normal form provided by bifurcation theory. First, we analyze the linearized stability of the CSTR system under various open-loop operating ranges. Subsequently, a proportional and a proportional-integral controller are introduced, and the resulting nonlinear dynamic behavior near the controller-induced bifurcation points are observed by adjusting the controller gains. Under proportional control, the normal form model gives immediately the amplitude and stability of the limit cycle, which are consistent with the simulation results. Under proportional-integral control, we can identify the route from period doubling to chaos with changes in the controller gains. Finally, parameter values at which period doubling occurs is further confirmed by the Feigenbaum number.
author2 Shyh-Hong Hwang
author_facet Shyh-Hong Hwang
Chiang-Hsiang Fan
范景翔
author Chiang-Hsiang Fan
范景翔
spellingShingle Chiang-Hsiang Fan
范景翔
Prediction and Analyis of the Dynamic Behavior of Nonlinear Systems
author_sort Chiang-Hsiang Fan
title Prediction and Analyis of the Dynamic Behavior of Nonlinear Systems
title_short Prediction and Analyis of the Dynamic Behavior of Nonlinear Systems
title_full Prediction and Analyis of the Dynamic Behavior of Nonlinear Systems
title_fullStr Prediction and Analyis of the Dynamic Behavior of Nonlinear Systems
title_full_unstemmed Prediction and Analyis of the Dynamic Behavior of Nonlinear Systems
title_sort prediction and analyis of the dynamic behavior of nonlinear systems
publishDate 2002
url http://ndltd.ncl.edu.tw/handle/6yc846
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