OUTPUT-FEEDBACK H1 CONTROL FOR A SECOND-ORDER ...
Document type :
Compte-rendu et recension critique d'ouvrage
Title :
OUTPUT-FEEDBACK H1 CONTROL FOR A SECOND-ORDER NONLINEAR MODEL OF A BIOTECHNOLOGICAL PROCESS
Author(s) :
Kalchev, Boyko [Auteur correspondant]
Institut Stephan Angeloff
Christov, Nicolaï [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Simeonov, Ivan [Auteur]
Institut Stephan Angeloff
Institut Stephan Angeloff
Christov, Nicolaï [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Simeonov, Ivan [Auteur]
Institut Stephan Angeloff
Journal title :
Comptes rendus de l'Académie bulgare des Sciences
Pages :
125-132
Publisher :
Bulgarian Academy of Sciences
Publication date :
2011-04-25
ISSN :
1310-1331
English keyword(s) :
H∞ control
H∞ filter
random perturbation
state estimation
anaerobic digestion
H∞ filter
random perturbation
state estimation
anaerobic digestion
HAL domain(s) :
Sciences du Vivant [q-bio]/Microbiologie et Parasitologie
English abstract : [en]
An H1 control strategy has been designed for a SISO second-order nonlin- ear model of a biotechnological process with unknown statistical characteristics of a single-coefficient random perturbation and of the measurement ...
Show more >An H1 control strategy has been designed for a SISO second-order nonlin- ear model of a biotechnological process with unknown statistical characteristics of a single-coefficient random perturbation and of the measurement noise. For this purpose, the model was linearised preliminarily in the neighbourhood of a chosen stepwise control action trajectory and of the known value of the coeffi- cient. The proposed controller consists of an H1 state regulator connected with an H1 filter providing optimal estimates of the unmeasurable state variables. The simulation studies performed under a realistic modelling of the above per- turbation and noise (as Gaussian white noises) evidence good performance, at the minimum equipollent to that of a classical PID controller, viz. perturba- tion compensation in the regulated output as well as enhanced rate of transition between the chosen setpoints.Show less >
Show more >An H1 control strategy has been designed for a SISO second-order nonlin- ear model of a biotechnological process with unknown statistical characteristics of a single-coefficient random perturbation and of the measurement noise. For this purpose, the model was linearised preliminarily in the neighbourhood of a chosen stepwise control action trajectory and of the known value of the coeffi- cient. The proposed controller consists of an H1 state regulator connected with an H1 filter providing optimal estimates of the unmeasurable state variables. The simulation studies performed under a realistic modelling of the above per- turbation and noise (as Gaussian white noises) evidence good performance, at the minimum equipollent to that of a classical PID controller, viz. perturba- tion compensation in the regulated output as well as enhanced rate of transition between the chosen setpoints.Show less >
Language :
Anglais
Popular science :
Non
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