DocumentCode :
551197
Title :
Constrained nonlinear model predictive control of inner-formation gravity field measurement satellite
Author :
Ji Li ; Liu Kun ; Xiang Junhua
Author_Institution :
Coll. of Aerosp. & Mater. Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
3415
Lastpage :
3419
Abstract :
The Inner-Formation gravity field measurement satellite (IFS) was proposed to measure Earth´s gravity field with high accuracy and spatial resolution. The integrated orbit and attitude control of IFS during steady-state phase is investigated in this paper. A six degree-of-freedom coupled translational and rotational dynamics model with thruster layout is constructed. The feasible quadratic optimization model of a sort of nonlinear system with input and output constraints is established using present constrained nonlinear model predictive control (CNMPC) method. The quadratic programming is applied to obtain the solution. The formation keeping and attitude stabilization mission is examined by the proposed CNMPC. Simulation demonstrates the feasibility and effectivity of this approach with tradeoffs coordinated and constraints satisfied.
Keywords :
attitude control; nonlinear control systems; predictive control; quadratic programming; stability; Earth´s gravity field; attitude control; attitude stabilization mission; constrained nonlinear model predictive control; inner-formation gravity field measurement satellite; integrated orbit; nonlinear system; quadratic optimization model; quadratic programming; rotational dynamics model; six degree-of-freedom coupled translational dynamics model; steady-state phase; thruster layout; Conferences; Earth; Gravity; Orbits; Predictive control; Predictive models; Satellites; Constrained Nonlinear Model Predictive Control; Inner-Formation Gravity Field Measurement Satellite; Integrated orbit and attitude control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6001541
Link To Document :
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