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Derek Fan

PROFILE

Derek Fan

Derek Fan developed and enhanced the attitude determination and control system (ADCS) for the cmu-argus-2/FSW-mainboard repository, focusing on momentum-based control, sun-pointing algorithms, and robust fault handling. He applied aerospace engineering principles and Python to refactor control logic for improved decoupling, maintainability, and reliability. Derek introduced comprehensive unit testing using Pytest, validating nominal and edge-case scenarios to reduce regression risk. His work included architectural modernization, code readability improvements, and embedded systems integration, resulting in clearer module boundaries and safer fallback mechanisms. These efforts established a strong foundation for future development, streamlined maintenance, and improved the system’s operational resilience.

Overall Statistics

Feature vs Bugs

91%Features

Repository Contributions

28Total
Bugs
1
Commits
28
Features
10
Lines of code
2,352
Activity Months3

Work History

March 2025

1 Commits • 1 Features

Mar 1, 2025

Concise monthly summary for 2025-03 focused on cmu-argus-2/FSW-mainboard. The month centered on improving reliability and robustness of the Attitude Control System (ACS) within the ADCS module through targeted testing, refactoring, and validation enhancements. The main actions were the development of a comprehensive unit-testing regime for ACS, refactoring for better decoupling of control logic, and the introduction of dimension-reading validation with a default fallback control path to handle malformed inputs. These efforts reduce regression risk, improve fault handling, and set the foundation for future verification and automated testing. Key achievements (top 3-5): - Added comprehensive ACS unit tests for the ADCS module, including nominal spin stabilization, sun pointing, and invalid input scenarios, establishing robust test coverage (commit aebe9dd904c8554494be1deb9ccc092ecdb615b1). - Refactored Attitude Control System control law to improve decoupling, enhancing maintainability and reducing coupling-induced failures. - Implemented validation for reading dimensions and a default fallback control mechanism to ensure safe operation under malformed or unexpected inputs. - Strengthened testability and resilience of the ACS path, enabling faster identification and containment of future regressions. Business value and impact: The improvements reduce the risk of attitude-control regressions, enhance reliability in on-orbit operations, and provide a verifiable test baseline for future development and certification efforts. Technologies/skills demonstrated: Unit testing and test coverage, software refactoring for decoupled control architectures, input validation and safe-fail mechanisms, ADCS/ACS domain knowledge, and commitment-driven validation (Git commits via #181).

December 2024

5 Commits • 1 Features

Dec 1, 2024

December 2024: Delivered substantial ADCS improvements for cmu-argus-2/FSW-mainboard, focusing on momentum-based attitude control, sun-pointing enhancements, and code quality. Notable commits include: c62dbc1cd36da1e008476074335b8f49485a22a3 (reformatted attitude control); 96c08cf7f4ad6b4cb1d6b79c3fffc210c6982b08 (improved controllers and simplified task architecture); 075b0d8d1415cccc967409d6143b2bf5ff4719aa (added app descriptions); 9011f465c3cdb73e984fd1be745aefc4c0550f8e (switched to momentum-based control); c1d4ae0642c9c111e40ec0566f02b1ecf1ddf9a6 (commented out debugging statement). Notable for improving stability, accuracy, and maintainability of the attitude determination and control system. These changes reduce maintenance overhead, improve pointing accuracy, and enable faster future iterations.

November 2024

22 Commits • 8 Features

Nov 1, 2024

This month centered on strengthening the FSW-mainboard foundation (cmu-argus-2/FSW-mainboard) with architecture improvements, control enhancements, and focused quality initiatives. The work delivered clearer module boundaries, more reliable control behavior, and stronger test coverage, directly improving reliability, maintainability, and future velocity.

Activity

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Quality Metrics

Correctness91.4%
Maintainability90.8%
Architecture90.0%
Performance82.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Aerospace EngineeringAttitude Determination and Control Systems (ADCS)Code FormattingCode ReadabilityCode RefactoringControl SystemsControl Systems EngineeringDebuggingDocumentationEmbedded SystemsHardware IntegrationLinear AlgebraNumerical AnalysisNumerical ComputationNumerical Computing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

cmu-argus-2/FSW-mainboard

Nov 2024 Mar 2025
3 Months active

Languages Used

Python

Technical Skills

Aerospace EngineeringCode FormattingCode RefactoringControl SystemsEmbedded SystemsHardware Integration

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