Model Predictive Control with on-off Input and its Application to Attitude Control

Abstract:

Robust model predictive control with On-Off input of system is researched in this paper. The constraint tightening approach is adopted to ensure robustness of algorithm. By variable horizon approach, i.e. take the predictive horizon as the decision variable, the property of finite-time arrival within an arbitrary target set is guaranteed. Convergence of the algorithm is proved, and the maximum predictive horizon for the states entry to an arbitrary target set is determined. Finally, the method is applied to the attitude control of exo-atmospheric aerocraft, the simulation results show the effectiveness of the proposed method.

• Periodical: Advanced Materials Research (Volume 898)
• Pages: 713-719
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.898.713
• Online since: February 2014
• Authors: Bao Qing Yang*, Xi Zhang, Kai Ning Wu
• Keywords: Attitude Control, Finite Time Entry, Invariant Set, Model Predictive Control, On-Off Input

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