Design and Implementation of a Simulation Platform for Aircraft Inertial Navigation Control Systems

This paper presents a comprehensive implementation framework for designing and simulating aircraft inertial navigation control systems. The platform employs a modular architecture with key components including sensor modeling (accelerometers and gyroscopes), navigation algorithm implementation (Kalman filtering and sensor fusion), and control system design modules. The simulation environment supports both MATLAB/Simulink-based graphical programming and Python scripting interfaces, allowing engineers to implement custom navigation algorithms through functions like state-space modeling and quaternion-based attitude estimation. The platform integrates real-time visualization tools for trajectory plotting and performance metrics analysis, featuring built-in functions for error propagation analysis and Monte Carlo simulations. Extensive documentation includes code examples for implementing extended Kalman filters, coordinate transformation matrices, and PID controller tuning methodologies. This solution provides aircraft designers with a robust testing environment that accelerates development cycles while ensuring system reliability through comprehensive validation suites.