Hypersonic Gliding Vehicle (HGV) Optimal Trajectory Simulation using MATLAB
This project presents a MATLAB-based trajectory optimization framework for Hypersonic Gliding Vehicles (HGVs).
The framework computes optimal flight trajectories from launch to target impact based on predefined objective functions and vehicle aerodynamic characteristics.
The problem is formulated as an optimal control problem, enabling flexible mission design through single-objective or multi-objective cost functions.
The following objective functions are supported and can be applied individually or in combination:
- Minimum flight time
- Minimum fuel consumption (or control effort)
- Maximum downrange
- Maximum crossrange
These objectives can be combined into a multi-objective cost function using user-defined weighting factors.
This project considers three different Hypersonic Gliding Vehicle configurations.
Each configuration is characterized by distinct aerodynamic properties defined by:
- Lift coefficient
- Drag coefficient
The aerodynamic coefficients are directly incorporated into the trajectory optimization process to reflect shape-dependent flight characteristics.
Lin-shu He, et al.
Optimal trajectory and heat load analysis of different shape lifting reentry vehicles for medium range application,
2015.
- MATLAB (latest version recommended)
- GPOPS-II license
This project requires MATLAB GPOPS-II for execution.
The simulation cannot be run without a valid GPOPS-II license.