Multiplicative Extended Kalman Filter Satellite Attitude Determination
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Updated
Dec 19, 2022 - MATLAB
Multiplicative Extended Kalman Filter Satellite Attitude Determination
Real-time quaternion-based Multiplicative Extended Kalman Filter (MEKF) for IMU orientation estimation with gyroscope bias compensation and 3D visualization.
CubeSat Flight Software and GNC implementations in C++
Multiplicative Extended Kalman Filter [MEKF] applied to Quaternion Attitude and Gyroscope Bias estimation.
SpaceX Starship belly-flop → flip → landing 6-DOF simulation with SCvx successive convexification guidance. 100% Monte Carlo success rate (20/20)! Features: 14-state dynamics, 4-flap differential control allocation, Bouc-Wen hysteresis, 15-state MEKF, 3× Raptor engines. 42/42 tests passed. Python + C++ | SpaceX星舰腹部翻转回收六自由度仿真,SCvx凸优化制导,蒙特卡洛100%成功率
Hybrid AI-Powered Satellite Attitude Determination and Control System (ADCS) integrating MEKF, quaternion dynamics, LQR/PD control, and neural network-based attitude control for spacecraft GNC applications.
SpaceX Falcon 9 first-stage vertical propulsive landing simulation using G-FOLD convex optimization (SOCP). 100% Monte Carlo success rate across 100 runs! Features: 6-DOF dynamics, multi-engine 1-3-1 trajectory profile, MEKF state estimation, CLARABEL solver, fault injection hardening. Python + C++ | 猎鹰九号一级垂直回收G-FOLD凸优化仿真,蒙特卡洛100%成功率
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