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Entry Trajectory Optimization for Mars Science Laboratory Class Missions Using Indirect Uniform Trigonometrization Method
- Source :
- ACC
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Application of traditional indirect optimization methods to optimal control problems (OCPs) with control and state path constraints is not a straightforward task. However, recent advances in regularization techniques and numerical continuation methods have enabled application of indirect methods to very complex OCPs. This study demonstrates the utility and application of an advanced indirect method, the Uniform Trigonometrization Method (UTM), to a Mars Science Laboratory type entry problem. The objective is to maximize the parachute deployment altitude for a free-time, fixed-final-velocity entry trajectory. For entry vehicles, in addition to the bank angle that is characterized by bang-bang control profiles, there are typically three state path constraints that have to be considered, namely, the dynamic pressure, heat-rate, and g-load. This study shows that the UTM enables simultaneous regularization of the bang-bang control and satisfaction of the state path constraints. Two scenarios with and without state path constraints are considered. The results obtained using the UTM for both of these cases are found to be in excellent agreement with a direct optimization method. Furthermore, an interesting feature emerges in the optimal control profile of the UTM during the initial high-altitude part of the resulting optimal trajectory for the scenario with state path constraints, which has an appealing practical implication.
- Subjects :
- Mathematical optimization
Computer science
02 engineering and technology
Mars Exploration Program
Trajectory optimization
021001 nanoscience & nanotechnology
Optimal control
Regularization (mathematics)
Numerical continuation
020401 chemical engineering
Path (graph theory)
Trajectory
State (computer science)
0204 chemical engineering
0210 nano-technology
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 American Control Conference (ACC)
- Accession number :
- edsair.doi...........287fce2bc944b3b8030e1e9e5aea94f8