Avionics-Propulsion-Landers-GT/MonopropUAV
Mar 2025 – Feb 2026
9 Months active
Languages Used
C++EigenMATLABPythonCSVMarkdownRust
Technical Skills
3D MathAerospace EngineeringAlgorithm ImplementationAttitude EstimationC++C++ Development
Hansel Z
PROFILE
Hansel Z
Developed advanced flight control and simulation capabilities for the Avionics-Propulsion-Landers-GT/MonopropUAV repository, focusing on robust state estimation, nonlinear and model predictive control, and realistic dynamics modeling. Leveraged C++, Python, and Rust to implement Extended Kalman Filters for IMU data, quaternion-based attitude estimation, and both LQR and NMPC frameworks for UAV and rocket guidance. Enhanced simulation fidelity with Gaussian noise, fuel dynamics, and detailed telemetry logging, while integrating solver technologies like OpEn and PANOC for real-time optimization. Delivered modular, maintainable code with thorough documentation, supporting rapid iteration, improved reliability, and a foundation for future autonomous flight and sensor fusion.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
33Total
Bugs
3
Commits
33
Features
15
Lines of code
2,949,055
Activity Months9
Your Network
22 peopleShared Repositories
22
Work History
February 2026
3 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for Avionics-Propulsion-Landers-GT/MonopropUAV. Focus was on advancing MPC-based flight control for monoprop UAVs, enhancing realism in dynamics, and increasing reliability of GroundControl and MPC integration. Deliverables include an MPC flight control package with user input commands and landing logic, integration of a PANOC-based delta-U QP solver (OpEnSolve), and a more realistic dynamics model with Gaussian noise and rocket-fuel dynamics simulation. Additionally, preliminary firmware for drone and sensor fusion stubs were added to support future hardware integration. These efforts improve control robustness, simulation fidelity, and development velocity, enabling safer testing and faster progression toward autonomous capabilities.
3 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for Avionics-Propulsion-Landers-GT/MonopropUAV. Focus was on advancing MPC-based flight control for monoprop UAVs, enhancing realism in dynamics, and increasing reliability of GroundControl and MPC integration. Deliverables include an MPC flight control package with user input commands and landing logic, integration of a PANOC-based delta-U QP solver (OpEnSolve), and a more realistic dynamics model with Gaussian noise and rocket-fuel dynamics simulation. Additionally, preliminary firmware for drone and sensor fusion stubs were added to support future hardware integration. These efforts improve control robustness, simulation fidelity, and development velocity, enabling safer testing and faster progression toward autonomous capabilities.
February 2026
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.
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.
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.
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
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.
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.
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.
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
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.
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.
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.
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
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.
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.
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.
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
Activity
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Quality Metrics
Correctness88.8%
Maintainability84.2%
Architecture88.2%
Performance80.6%
AI Usage23.6%
Skills & Technologies
Programming Languages
C++CSVEigenMATLABMarkdownPythonRust
Technical Skills
3D MathAerospace EngineeringAlgorithm ImplementationAttitude EstimationC++C++ DevelopmentC++ programmingControl SystemsData AnalysisData EngineeringData ManagementData VisualizationDependency ManagementDynamics ModelingEmbedded Systems
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