DocumentCode :
3352191
Title :
Fixed-point constrained Model Predictive Control of spacecraft attitude
Author :
Guiggiani, Alberto ; Kolmanovsky, Ilya ; Patrinos, Panagiotis ; Bemporad, Alberto
Author_Institution :
IMT Inst. for Adv. Studies, Lucca, Italy
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
2317
Lastpage :
2322
Abstract :
The paper develops a Model Predictive Controller for constrained control of spacecraft attitude with reaction wheel actuators. The controller exploits a special formulation of the cost with the reference governor like term, a low complexity addition of integral action to guarantee offset-free tracking of attitude set points, and an online optimization algorithm for the solution of the Quadratic Programming problem which is tailored to run in fixed-point arithmetic. Simulations on a nonlinear space-craft model demonstrate that the MPC controller achieves good tracking performance while satisfying reaction wheel torque constraints. The controller also has low computational complexity and is suitable for implementation in spacecrafts with fixed-point processors.
Keywords :
actuators; attitude control; computational complexity; fixed point arithmetic; nonlinear control systems; predictive control; quadratic programming; space vehicles; wheels; MPC controller; attitude set points; computational complexity; fixed-point arithmetic; fixed-point constrained model predictive control; fixed-point processors; integral action; nonlinear spacecraft model; offset-free tracking; online optimization algorithm; quadratic programming problem; reaction wheel actuators; reaction wheel torque constraints; reference governor; spacecraft attitude; tracking performance; Attitude control; Computational modeling; Magnetic materials; Photonic crystals; Predictive models; Space vehicles; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7171078
Filename :
7171078
Link To Document :
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