Simulation of Aircraft Trajectory Across Different Flight Phases

Simulating aircraft trajectories across different flight phases serves as a critical data source for navigation algorithm development and testing. This program provides a high-fidelity simulation environment for validating Strapdown Inertial Navigation Systems (SINS) and integrated navigation systems by comprehensively modeling typical flight stages including takeoff, climb, cruise, descent, and landing.

The trajectory generation logic in the program establishes six-degree-of-freedom motion equations based on aerodynamic models, computing position, velocity, and attitude parameters through numerical integration. The key innovation lies in differentiated modeling of dynamic characteristics across flight phases: takeoff phase simulation incorporates ground friction effects and abrupt engine thrust changes, cruise phase focuses on stable attitude maintenance, while landing phase handles runway effects and deceleration rate variations.

For navigation algorithm testing, the program outputs ideal trajectory data as ground truth references, with capability to incorporate sensor error models for generating simulated measurement data. By adjusting environmental parameters like wind speed and atmospheric density, it can simulate navigation performance test scenarios under various flight conditions. This full-cycle flight simulation proves particularly valuable for evaluating integrated navigation system stability during mode transitions and characterizing inertial navigation system error accumulation during prolonged cruise operations.

In engineering applications, the trajectory data generated by this simulator can directly serve as input for Kalman filter algorithms to validate multi-source information fusion logic. The program's structured output format facilitates seamless data interaction with simulation platforms like MATLAB/Simulink, significantly enhancing navigation system development efficiency through systematic trajectory modeling and sensor error simulation capabilities.