Technical Papers
Jun 20, 2017

Rapid Path Planning for Zero Propellant Maneuvers Based on Flatness

Publication: Journal of Aerospace Engineering
Volume 30, Issue 5

Abstract

A rapid path planning (RPP) method that fast generates suboptimal zero propellant maneuver (ZPM) paths was proposed previously, and to further enhance the planning performance, the differential flatness of the model is studied in this paper. For the crucial issue of singularity in flatness planning, the equivalence between the state transformation singularity and the control transformation singularity is proved for the feedback-linearizable multi-input multi-output (MIMO) affine system, which simplifies the singularity investigation of the ZPM problem. The question of searching suitable flat outputs for specific types of large-angle maneuvers is raised before path planning. Four sets of flat output candidates, which are biased to different types of maneuvers, are examined, and it is shown that only the large-angle yaw maneuver is achievable. The essentially singular attitudes (ESAs), for which no outputs could linearize the model, are presented, and it is found that the large-angle pitch or roll maneuver path planning easily encounters singularity in the flat output space no matter what output functions are constructed. To the regular mission of large-angle yaw maneuvers, the flatness is utilized in the RPP method. A simultaneous reconstruction method is proposed to solve the large amount of implicit equations in the planning, and rapid planning for the ZPM path is achieved.

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Acknowledgments

This research was supported by the National Natural Science Foundation of China (11272346) and the National Key Basic Research and Development Program (2013CB733100). The authors also thank the editors and the reviewers for their help.

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 30Issue 5September 2017

History

Received: Jun 12, 2016
Accepted: Feb 21, 2017
Published online: Jun 20, 2017
Published in print: Sep 1, 2017
Discussion open until: Nov 20, 2017

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Authors

Affiliations

Sheng Zhang, Ph.D. [email protected]
Computational Aerodynamics Institution, China Aerodynamics Research and Development Center, Mianyang 621000, China. E-mail: [email protected]
Ph.D. Candidate, College of Aerospace Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China. E-mail: [email protected]
Hai-Bing Huang [email protected]
Lecturer, College of Aerospace Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China. E-mail: [email protected]
Guo-Jin Tang [email protected]
Professor, College of Aerospace Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China (corresponding author). E-mail: [email protected]

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