2022•2022 IEEE International Conference on Unmanned Systems (ICUS)Requires access

Trajectory Optimization with Polygonal No-Fly Zone Constraints for Hypersonic Glide Vehicle

Rouhe Zhang, Zhili Sun, Changzhu Wei

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Abstract

This article proposes an enlarged polygon (ELP) method to equivalently describe the polygonal no-fly zone (PNFZ) constraints for entry trajectory optimization problem. The ELP method starts from the geometric relationship between the aircraft's position and a convex polygon. Then, the equivalent geometric condition describing PNFZ constraints is found. Finally, we give an ELP condition to describe PNFZ constraints. By using ELP method, there is no need for integer variables. Simulations in different scenarios show the feasibility and validity of ELP method.

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What this paper is about

This article proposes an enlarged polygon (ELP) method to equivalently describe the polygonal no-fly zone (PNFZ) constraints for entry trajectory optimization problem. The ELP method starts from the geometric relationship between the aircraft's position and a convex polygon. Then, the equivalent geometric condition describing PNFZ constraints is found. Finally, we give an ELP condition to describe PNFZ constraints. By using ELP method, there is no need for integer variables. Simulations in different scenarios show the feasibility and validity of ELP method.

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Available abstract

This article proposes an enlarged polygon (ELP) method to equivalently describe the polygonal no-fly zone (PNFZ) constraints for entry trajectory optimization problem. The ELP method starts from the geometric relationship between the aircraft's position and a convex polygon. Then, the equivalent geometric condition describing PNFZ constraints is found. Finally, we give an ELP condition to describe PNFZ constraints. By using ELP method, there is no need for integer variables. Simulations in different scenarios show the feasibility and validity of ELP method.

Key concepts: Polygon (computer graphics), Convex polygon, Regular polygon, Trajectory, Position (finance), Polyhedron, Mathematical optimization, Integer (computer science)

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