DocumentCode :
2981429
Title :
State and parameter estimation in a hydraulic system - moving horizon approach
Author :
Baranowski, Jerzy ; Tutaj, Andrzej
Author_Institution :
Dept. of Automatics, AGH Univ. of Sci. & Technol., Krakow
fYear :
2008
fDate :
1-3 Sept. 2008
Firstpage :
1432
Lastpage :
1439
Abstract :
In most control systems the best quality of control can be achieved if an exact model of a plant is known and if disturbances-free and continuous (instead of discrete) measurements of all its state space variables are available. Since it is seldom the case in real-life installations, state observers, adapting (parameters identification) algorithms, anti-noise filters and continuous signal estimators must be often employed. The paper describes an application of the moving horizon estimation (MHE) and continuous state estimation from discrete output measurements (CSE-DOM) based method to a laboratory hydraulic three-tank system. The resulting algorithm encompasses all the four above-mentioned mechanisms (state observation, parameters identification, disturbances filtration and continuous state estimation) and can be used for nonlinear systems as well, which is the case in the presented article. The paper provides a detailed explanation of how the MHE and CSEDOM methods were adapted to be applicable to the three-tank system. Results of computer simulations and practical laboratory experiments are also included.
Keywords :
digital simulation; hydraulic systems; nonlinear control systems; observers; parameter estimation; tanks (containers); CSE-DOM; MHE; antinoise filters; computer simulations; continuous state estimation; discrete output measurements; hydraulic three-tank system control; moving horizon estimation; nonlinear systems; parameter estimation; signal estimators; state observers; state space variables; Control system synthesis; Filters; Filtration; Hydraulic systems; Laboratories; Observers; Parameter estimation; Signal processing; State estimation; State-space methods; adaptive control; estimation technique; non-linear control; real time processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Motion Control Conference, 2008. EPE-PEMC 2008. 13th
Conference_Location :
Poznan
Print_ISBN :
978-1-4244-1741-4
Electronic_ISBN :
978-1-4244-1742-1
Type :
conf
DOI :
10.1109/EPEPEMC.2008.4635469
Filename :
4635469
Link To Document :
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