Automated Design of Multiphase Space Missions Using Hybrid Optimal Control
| Autor: | Bruce A. Conway, Christian M. Chilan |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Mathematical optimization
Computer science Applied Mathematics Aerospace Engineering Equations of motion Thrust Trajectory optimization Optimal control Space exploration Space and Planetary Science Control and Systems Engineering Control theory Physics::Space Physics A priori and a posteriori Astrophysics::Earth and Planetary Astrophysics Electrical and Electronic Engineering Nested loop join Categorical variable |
| Zdroj: | Journal of Guidance, Control, and Dynamics. 36:1410-1424 |
| ISSN: | 1533-3884 0731-5090 |
| Popis: | A modern space mission is assembled from multiple phases or events such as impulsive maneuvers, coast arcs, thrust arcs, and planetary flybys. Traditionally, a mission planner would resort to intuition and experience to develop a sequence of events for the multiphase mission and to find the space trajectory that minimizes propellant use by solving the associated continuous optimal control problem. This strategy, however, will most likely yield a suboptimal solution, as the problem is sophisticated for several reasons. For example, the number of events in the optimal mission structure is not known a priori, and the system equations of motion change depending on what event is current. In this work a framework for the automated design of multiphase space missions is presented using hybrid optimal control. The method developed uses two nested loops: an outer-loop that handles the discrete dynamics and finds the optimal mission structure in terms of the categorical variables, and an inner-loop that performs th... |
| Databáze: | OpenAIRE |
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