quotation:[Copy]
[Copy]
【Print page】 【Online reading】【Download 【PDF Full text】 View/Add CommentDownload reader Close

←Previous page|Page Next →

Back Issue    Advanced search

This Paper:Browse 642   Download 1359 本文二维码信息
码上扫一扫!
Immersion and invariance adaptive control of a class of continuous stirred tank reactors
G.Hong,X.Liu,H.Su
0
(School of Electronic Information Engineering, Beijing Jiaotong University)
摘要:
An immersion and invariance (I&I) manifold based adaptive control algorithm is presented for a class of continuous stirred tank reactors (CSTR) to realize performance-oriented control in this paper. The nonlinear contraction method is combined into the control law design to render the closed-loop CSTR system globally asymptotically stable, firstly. Then, the I&I method is used to form the adaptation law such that the off-the-manifold coordinate (the parameter estimation error) converges to zero using P-monotone property enforced by selecting tuning function in manifold. As a result, the state of the closed-loop CSTR converges to its desired value asymptotically. The simulation is given to illustrate the effectiveness of the presented algorithm.
关键词:  CSTR, adaptive control, I&I, nonlinearly parameterized uncertainty
DOI:
Received:July 31, 2014Revised:January 22, 2015
基金项目:
Immersion and invariance adaptive control of a class of continuous stirred tank reactors
G. Hong,X. Liu,H. Su
(School of Electronic Information Engineering, Beijing Jiaotong University;Institute of Cyber-System and Control, Zhejiang University)
Abstract:
An immersion and invariance (I&I) manifold based adaptive control algorithm is presented for a class of continuous stirred tank reactors (CSTR) to realize performance-oriented control in this paper. The nonlinear contraction method is combined into the control law design to render the closed-loop CSTR system globally asymptotically stable, firstly. Then, the I&I method is used to form the adaptation law such that the off-the-manifold coordinate (the parameter estimation error) converges to zero using P-monotone property enforced by selecting tuning function in manifold. As a result, the state of the closed-loop CSTR converges to its desired value asymptotically. The simulation is given to illustrate the effectiveness of the presented algorithm.
Key words:  CSTR, adaptive control, I&I, nonlinearly parameterized uncertainty