DocumentCode
3290186
Title
Model predictive control design for supercavitating vehicles with control efforts restriction
Author
Fan, Hui ; Zhang, Yuwen ; Wang, Xiaoning
Author_Institution
Coll. of Marine Eng., Northwestern Polytech. Univ., Xi´´an, China
fYear
2011
fDate
15-17 April 2011
Firstpage
5098
Lastpage
5101
Abstract
The supercavitating vehicle is enveloped almost completely by a supercavity in cruise phase, it is confronted by the stable control problems involved with the nonlinear planing force produced by reaction between the vehicle and cavity. To deal with the above problems, a supercavitating vehicle model proposed by Dzielski is employed as our research object. A series system transforms is performed and the supercavitating vehicle model is converted into Lure´s form. The sufficient condition for the globally stability of system is obtained by using the Nyquist diagram based on the circle criterion. The influence on the system performance produced by the control efforts restriction is analyzed. To improve the system performance, a model predictive control strategy is employed. The simulation results show that the supercavitating vehicle system with control efforts restriction can be stabilized globally by our model predictive control strategy; and these results hold even when uncertainties in the modeling of planning force are existing.
Keywords
Nyquist stability; cavitation; control system synthesis; predictive control; underwater vehicles; Nyquist diagram; control effort restriction; global stability; model predictive control design; nonlinear planing force; series system transforms; stable control problems; supercavitating vehicle model; Cavity resonators; Electronics packaging; Planing; Predictive control; Predictive models; Stability analysis; Vehicles; circle criterion; control efforts restriction; model predictive control; supercavitating vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5778146
Filename
5778146
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