DocumentCode :
3539097
Title :
Adaptive controllability of the brusselator model with input coupling
Author :
Tar, József K. ; Rudas, Imre J. ; Nádai, László ; Kósi, Krisztián
Author_Institution :
John von Neumann Fac. of Inf., Obuda Univ., Budapest, Hungary
fYear :
2012
fDate :
5-7 Sept. 2012
Firstpage :
157
Lastpage :
162
Abstract :
For replacing Lyapunov´s ingenious but complicated “2nd method” in designing adaptive controllers for nonlinear systems the use of “Robust Fixed Point Transformations (RFPT)” was extensively studied in the past few years mainly for “Classical Mechanical Systems (CMS)”. In spite of the strongly nonlinear coupling that is typical in the Euler-Lagrange equations of motion CMS are simple in the sense that their state variables (i.e. the generalized coordinates and their time-derivatives), driving force or torque components, as well as the tracking error signals are physically well interpreted both in the positive and the negative domains. Furthermore, the time-derivatives of the control forces do not occur in the equations of motion. Therefore simple PIDtype controllers with great feedback gains as well as RFPT-based adaptive ones of smaller feedback gains but of the aptitude for introducing strong nonlinear transient fluctuations after their switching on can successfully deal with such systems. In contrast to CMS “Chemical Systems (CS)”, besides their multiplication and power-type terms in the reaction equations also have further strong nonlinearities due to phenomenological restrictions. Neither negative concentrations, nor negative ingress rates of pure reagents can occur in the case of “Continuous Stirring Tank Reactors (CSTR)”. Such effects were recently investigated by assuming the ingress of very concentrated reagents in the control that do not considerably dilute the other reagents in the CTRS. In this paper the far reaching consequences of this mutual diluting effect are studied. It is shown that the RFPT-based adaptive controller still can be useful but the control strategy has to take far more complicated form.
Keywords :
Lyapunov methods; adaptive control; chemical analysis; chemical reactors; control system synthesis; feedback; fluctuations; force control; mechanical control equipment; nonlinear control systems; robust control; three-term control; torque control; tracking; Brusselator model; CMS chemical systems; CSTR; Euler-Lagrange equations of motion CMS; Lyapunov ingenious; PID- type controllers; RFPT-based adaptive controller; adaptive controllers design; classical mechanical systems; concentrated reagents; continuous stirring tank reactors; control forces; feedback gains; force components; mutual diluting effect; nonlinear coupling; nonlinear systems; nonlinear transient fluctuations; phenomenological restrictions; power-type terms; reaction equations; robust fixed point transformations; torque components; tracking error signals; Adaptation models; Adaptive control; Chemical reactors; Equations; Mathematical model; Oscillators; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Logistics and Industrial Informatics (LINDI), 2012 4th IEEE International Symposium on
Conference_Location :
Smolenice
Print_ISBN :
978-1-4673-4520-0
Electronic_ISBN :
978-1-4673-4518-7
Type :
conf
DOI :
10.1109/LINDI.2012.6319479
Filename :
6319479
Link To Document :
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