6.3 KiB
Future Work - Project Roadmap
Overview
This document outlines planned enhancements and future development areas for the Orbital Mechanics Simulation project.
Immediate Priorities
3D Orbital Elements
Spacecraft and Maneuver Visualization
Mid-Term Enhancements
SOI Transition Frame Transformations (Phase 3)
Status: Partially implemented (SOI detection complete) Missing: Proper coordinate transformations during SOI crossings
Requirements:
- Convert position/velocity between frames during transition
- Preserve orbital elements across frame boundaries
- Handle momentum and energy conservation
- Implement smooth interpolation to avoid discontinuities
Implementation:
- Define transformation matrices for frame changes
- Implement hysteresis to prevent oscillation
- Add validation tests for energy/momentum conservation
- Consider relative velocity of parent bodies
Newton-Raphson Analytical Propagation
Current: RK4 (Runge-Kutta 4th order) numerical integration Proposed: Newton-Raphson analytical propagation with hybrid burn handling
Status: Implementation plan created - see docs/newton_raphson_propagation_plan.md
Benefits:
- Time steps of hours/days (vs. seconds/minutes with RK4)
- 60-2880x performance improvement depending on orbit scale
- Perfect 2-body accuracy with no numerical drift
- Newton-Raphson converges in 3-5 iterations
Implementation Approach:
- Analytical propagation for orbital motion (99% of simulation time)
- RK4 integration during finite-duration burns (1% of time)
- Seamless transitions between modes
- SOI transitions with orbital element transformations
Estimated Effort: 30-44 hours across 5 implementation phases
Orbital Stability Validation
Status: Time step stability analysis complete
Findings (from tests/informational/test_time_step_stability):
- RK4 at 60s is very stable (22% of stability limit)
- Mercury orbiter (MESSENGER-like) is limiting factor: 270s max stable dt
- Io and Moon are very stable (>596s max stable dt)
- Current default (60s) provides excellent margin
Documentation: See tests/informational/README.md for test details and results
Conclusion: No stability tuning needed - RK4 works well for moon systems with existing dt=60s default
Visualization Enhancements
3D Orbital Visualization with Inclination
Current: 2D orbits (XY plane simulation) Proposed: Full 3D orbits with inclination support
Features:
- Orbit plane inclination angles
- Orbital node visualization (ascending/descending)
- 3D orbit path rendering
- Interactive inclination adjustment in UI
Implementation:
- Add inclination parameter to CelestialBody
- 3D position/velocity vectors
- Update orbit rendering for 3D basis
- UI controls for inclination editing
Visual Highlighting of Selected Body
Current: Camera follows selected body, no visual emphasis Proposed: Clear visual distinction for selected objects
Options:
- Different rendering style (solid vs wireframe)
- Selection indicator ring or brackets
- Highlighting color overlay
- Orbit path brightness boost
UI Integration:
- Sync with existing selection system
- Maintain readability of other objects
- Adjustable highlight intensity
Enhanced UI Features
Orbital Metrics Panel:
- Real-time orbital element display
- Period prediction
- Delta-v to parent calculations
- Time to periapsis/apoapsis
- Inclination and node information
Configured Maneuvers UI:
- Interactive maneuver planning
- Delta-v budget tracking
- Burn time predictions
- Visual maneuver timeline
Advanced Physics Features
Atmospheric Drag
Use Case: Spacecraft reentry and low orbit decay
Implementation:
- Atmosphere model for planets
- Drag force calculations
- Altitude-dependent density
- Reentry trajectory prediction
Testing and Validation
Expanded Test Suite
- Reference frame transition tests
- Long-term stability benchmarks (> 1000 orbits)
- Regression testing for numerical drift
- Performance profiling tests
Orbital Mechanics Benchmarks
- Known orbital periods (Earth, Mars, Jupiter)
- Escape trajectory validation
- Hyperbolic asymptotic velocity checks
- SOI crossing accuracy
- Energy conservation across SOI boundaries
Data and Configuration
Expanded Solar System Data
- Dwarf planets (Pluto, Ceres, Eris)
- Asteroid belt objects
- Kuiper belt objects
- Cometary orbital data
- Real-world spacecraft trajectories
Configurable Scenarios
- Earth-Moon system detailed modeling
- Exoplanet systems
- Binary star systems
- Asteroid flyby simulations
- Gravity assist maneuvers
Parabolic Orbit Enhancements
- Altitude parameter support for parabolic orbits: parse
altitudeand convert tosemi_latus_rectum = parent_radius + altitude - Explicit perihelion parameter: add
perihelionto config file, derivesemi_latus_rectum = 2 * perihelionfor parabolic orbits
Performance Optimizations
Adaptive Timestepping
- Smaller timesteps during SOI transitions
- Larger timesteps for stable orbits
- Error-based step size adjustment
- Performance-accuracy trade-off controls
Multi-threading
- Parallel physics updates for independent bodies
- Multi-threaded orbit path rendering
- Parallel test execution
GPU Acceleration
- GPU-based physics integration
- CUDA/OpenCL orbit calculations
- Raylib GPU rendering improvements
Documentation and Examples
Tutorial Scenarios
- Step-by-step orbital mechanics lessons
- Common maneuver examples (Hohmann transfer, gravity assist)
- Troubleshooting guide for orbital instability
API Documentation
- Function reference with examples
- Configuration file reference
- Test writing guide
- Extension development guide
Infrastructure
Build System Enhancements
- CMake alternative to Makefile
- Package manager integration
- Dependency version pinning
- Cross-platform build testing
Continuous Integration
- Automated testing on push
- Code coverage tracking
- Performance regression detection
- Multi-platform CI (Linux, macOS, Windows)
Debugging Tools
- Orbit state visualization
- Frame transformation inspector
- Energy/momentum logging
- Interactive parameter adjustment
Research Directions
Non-gravitational Forces
- Thrust modeling for powered flight
Orbital Determination
- Ephemeris matching
- Observation data fitting
- Orbit determination algorithms
- Uncertainty quantification