Avionics-Propulsion-Landers-GT/MonopropUAV
Mar 2025 – Jan 2026
8 Months active
Languages Used
C++EigenMATLABPythonCSVMarkdownRust
Technical Skills
3D MathAerospace EngineeringAlgorithm ImplementationAttitude EstimationC++C++ Development
Zhang, Hansel
PROFILE
Zhang, Hansel
Hansel Zhang developed advanced flight control and simulation capabilities for the Avionics-Propulsion-Landers-GT/MonopropUAV repository, focusing on robust state estimation, nonlinear model predictive control, and realistic dynamics modeling. He implemented Extended Kalman Filters and LQR controllers in C++ and Python, migrated key algorithms for performance, and introduced quaternion-based attitude estimation to improve 3D orientation handling. Leveraging Rust, he built reusable NMPC frameworks and integrated real-time solvers for rocket and UAV control. Hansel’s work emphasized modularity, data-driven validation, and maintainable code, resulting in improved control accuracy, simulation fidelity, and streamlined onboarding for future sensor fusion and autonomous flight features.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
30Total
Bugs
2
Commits
30
Features
14
Lines of code
137,532
Activity Months8
Your Network
18 people
Work History
January 2026
8 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for the MonopropUAV project. Focused on delivering a robust control framework, enhanced lander dynamics, and clear documentation to enable future iterations and scalable maintenance. The work emphasizes business value through improved simulation fidelity, control robustness, and maintainability.
8 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for the MonopropUAV project. Focused on delivering a robust control framework, enhanced lander dynamics, and clear documentation to enable future iterations and scalable maintenance. The work emphasizes business value through improved simulation fidelity, control robustness, and maintainability.
January 2026
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for Avionics-Propulsion-Landers-GT/MonopropUAV: Delivered Rocket MPC tuning and input smoothing to enhance the Model Predictive Control system for the rocket model. Adjustments to reference setpoints, cost weights, and control input bounds, plus addition of a smoothing cost, improve control signal quality, stability, and robustness. This work lays the groundwork for more reliable autonomous flight in mission profiles and tighter trajectory tracking.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for Avionics-Propulsion-Landers-GT/MonopropUAV: Delivered Rocket MPC tuning and input smoothing to enhance the Model Predictive Control system for the rocket model. Adjustments to reference setpoints, cost weights, and control input bounds, plus addition of a smoothing cost, improve control signal quality, stability, and robustness. This work lays the groundwork for more reliable autonomous flight in mission profiles and tighter trajectory tracking.
October 2025
3 Commits • 1 Features
Oct 1, 2025October 2025 performance summary for MonopropUAV under Avionics-Propulsion-Landers-GT. Delivered a major upgrade to the MPC stack for rocket propulsion, featuring a modular dynamics design, OpEn solver integration for real-time optimization, and targeted QP solver tuning. The work improved control accuracy, responsiveness, and maintainability, enabling faster iteration and safer guidance performance in simulations and potential flight tests.
3 Commits • 1 Features
Oct 1, 2025October 2025 performance summary for MonopropUAV under Avionics-Propulsion-Landers-GT. Delivered a major upgrade to the MPC stack for rocket propulsion, featuring a modular dynamics design, OpEn solver integration for real-time optimization, and targeted QP solver tuning. The work improved control accuracy, responsiveness, and maintainability, enabling faster iteration and safer guidance performance in simulations and potential flight tests.
October 2025
September 2025
8 Commits • 2 Features
Sep 1, 2025September 2025: Delivered a full nonlinear model predictive control (NMPC) capability for UAVs and rocket dynamics within the MonopropUAV project, established a reusable Rust NMPC crate, and produced accompanying documentation and demonstrations. Implementations enable higher-fidelity trajectory optimization, improved stability under disturbances, and a foundation for rapid experimentation and deployment in autonomous flight systems.
September 2025
8 Commits • 2 Features
Sep 1, 2025September 2025: Delivered a full nonlinear model predictive control (NMPC) capability for UAVs and rocket dynamics within the MonopropUAV project, established a reusable Rust NMPC crate, and produced accompanying documentation and demonstrations. Implementations enable higher-fidelity trajectory optimization, improved stability under disturbances, and a foundation for rapid experimentation and deployment in autonomous flight systems.
July 2025
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07 — This month focused on delivering a data-driven IMU orientation estimation capability for the MonopropUAV project, with a reusable EKF-based pipeline and validation workflow that enhances autonomous attitude estimation and flight safety.
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07 — This month focused on delivering a data-driven IMU orientation estimation capability for the MonopropUAV project, with a reusable EKF-based pipeline and validation workflow that enhances autonomous attitude estimation and flight safety.
July 2025
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025: Delivered EKF-based IMU processing for MonopropUAV, including state transition/measurement prediction, updated Jacobian, and a Python simulation/visualization to validate bias effects and EKF outputs. No major bugs fixed. This improves navigation accuracy and robustness, enabling safer autonomous operation and faster validation of sensor fusion in flight-like scenarios.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025: Delivered EKF-based IMU processing for MonopropUAV, including state transition/measurement prediction, updated Jacobian, and a Python simulation/visualization to validate bias effects and EKF outputs. No major bugs fixed. This improves navigation accuracy and robustness, enabling safer autonomous operation and faster validation of sensor fusion in flight-like scenarios.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for Avionics-Propulsion-Landers-GT/MonopropUAV: Focused on stabilizing UAV dynamics data processing and enhancing maneuverability with discrete controls; delivered a critical bug fix and a precision-control feature, with improvements to data logging and traceability.
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for Avionics-Propulsion-Landers-GT/MonopropUAV: Focused on stabilizing UAV dynamics data processing and enhancing maneuverability with discrete controls; delivered a critical bug fix and a precision-control feature, with improvements to data logging and traceability.
April 2025
March 2025
5 Commits • 4 Features
Mar 1, 2025March 2025 monthly summary for Avionics-Propulsion-Landers-GT/MonopropUAV focused on delivering robust state estimation, reliable orientation handling, and enhanced control performance, while expanding simulation and telemetry capabilities. The work improves safety, reliability, and maintainability of the UAV flight software, enabling faster iteration and better mission outcomes.
March 2025
5 Commits • 4 Features
Mar 1, 2025March 2025 monthly summary for Avionics-Propulsion-Landers-GT/MonopropUAV focused on delivering robust state estimation, reliable orientation handling, and enhanced control performance, while expanding simulation and telemetry capabilities. The work improves safety, reliability, and maintainability of the UAV flight software, enabling faster iteration and better mission outcomes.
Activity
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Quality Metrics
Correctness89.0%
Maintainability84.6%
Architecture89.0%
Performance81.4%
AI Usage22.6%
Skills & Technologies
Programming Languages
C++CSVEigenMATLABMarkdownPythonRust
Technical Skills
3D MathAerospace EngineeringAlgorithm ImplementationAttitude EstimationC++C++ DevelopmentC++ programmingControl SystemsData EngineeringData ManagementData VisualizationDependency ManagementDynamics ModelingEmbedded SystemsKalman Filters
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