RHC‐based attitude control of spacecraft under geometric constraints

Author:

Hutao Cui,Xiaojun Cheng,Rui Xu,Pingyuan Cui

Abstract

PurposeThe purpose of this paper is to propose an attitude control algorithm for spacecraft with geometric constraints.Design/methodology/approachThe geometric constraint is reformulated as a quadratic form when quaternion is used as attitude parameter, then the constraint is proved to be nonconvex and is further transformed to a convex one. By designing a new constraint formulation to satisfy the real constraint in the predictive horizon, the attitude control problem is reshaped to a convex planning problem which is based on receding horizon control.FindingsThe proposed algorithm is more effective in handling geometric constraints than previous research which used single step planning control.Practical implicationsWith novel improvements to current methods for steering spacecraft from one attitude to another with geometric constraints, great attitude maneuver path can be achieved to protect instruments and meanwhile satisfy mission requirements.Originality/valueThe attitude control algorithm in this paper is designed especially for the satisfaction of geometric constraints in the process of attitude maneuver of spacecraft. By the application of this algorithm, the security of certain optical instruments, which is critical in an autonomous system, can be further assured.

Publisher

Emerald

Reference24 articles.

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2. Boyd, S. and Vandenberghe, L. (2004), Convex Optimization, Cambridge University Press, New York, NY.

3. Breger, L., How, J. and Richards, A. (2005), “Model predictive control of spacecraft formations with sensing noise”, Proceedings of the 2005 American Control Conference, Portland, OR, USA, pp. 2385‐90.

4. Doruk, R.O. (2009), “Linearization in satellite attitude control with modified Rodriguez parameters”, Aircraft Engineering & Aerospace Technology, Vol. 81 No. 3, pp. 199‐203.

5. Frazzoli, E., Dahleh, M.A., Feron, E. and Kornfeld, R.P. (2001), “A randomized attitude slew planning algorithm for autonomous spacecraft”, paper presented at AIAA Guidance, Navigation, and Control Conference, Montreal.

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