Submitted:
29 November 2024
Posted:
30 November 2024
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Abstract
This Paper outlines a rigorous methodology for the preliminary design and its performance analysis of Unmanned Aerial Vehicles (UAVs) intended for Martian atmospheric exploration, focusing on the study of the Martian boundary layer up to an altitude of 100 meters. The UAVs are designed to operate continuously during a Martian solar day, which lasts 12 hours and 40 minutes, emphasizing extended hovering capabilities. Three UAV configurations—Tiltable Quadcopter, Coaxial Rotorcraft, and Coaxial Trirotor—are systematically analysed across six key stages: mission profiling, vehicle sizing, aerodynamic parameter determination, propulsion system design, mass breakdown, and stowage strategies. The aerodynamic analysis and design of UAVs for Martian exploration, focusing on rotor performance under the planet's unique atmospheric conditions. Detailed CFD simulations assess airfoils NACA 0012 and CLF5605, chosen for their suitability in low Reynolds number and high Mach number environments, optimizing rotor efficiency. A Propulsion system is developed to account for solar variability, informing optimal flight profiles and energy management for solar-powered UAV operations. Energy balance calculations validate the UAV designs, ensuring efficient power consumption and reliable performance for sustained Martian exploration. Stowage mechanisms are developed to fit within a 2.5-meter aeroshell, ensuring compact deployment without compromising structural integrity. Optimized UAVs ensure reliable performance for extended Martian missions.
Keywords:
1. INTRODUCTION
2. Mission Profile
3. Selection of Airfoil
3.1. CAD Design of the Rotor
4. Computational Analysis of The Rotor
5. Performance

6. Propulsion System Sizing and Energy Balance
6.1. Energy Balance
7. Vehicle Sizing and Mass Breakdown
7.1. Mass Breakdown
8. Identification of Stowage Mechanism
9. Conclusions
10. Future Work
- Developing advanced photovoltaic materials and adaptive solar panels can optimize energy absorption, improving UAV flight duration in varying Martian conditions.
- Lightweight materials, like carbon composites, should be explored to reduce UAV weight, improving performance and payload capacity for longer missions.
- Advanced CFD simulations and individual blade control (IBC) systems can enhance rotor efficiency, reducing drag and improving lift under Martian atmospheric conditions.
- Machine learning-based autonomous navigation systems can adapt flight paths, energy use, and data collection in real-time, increasing mission efficiency on Mars.
Acknowledgement
- Nandan Kumar Jha: Martian Irradiance Model study, Propulsion system design and energy balance analysis.
- Aditya Gautam: The aerodynamic study, airfoil selection & Rotor performance optimization.
- Bhakti Sachin Malve: Payload Study & computational fluid dynamics (CFD) simulations for rotor.
- Nachiketh Nadig: Martian Atmosphere study, Conducted research on airfoil selection and stowage strategies.
- Gourav Mehta: CAD model design.
- Jitesh N: Assistance in CAD model Design
Nomenclature
| UAV - Unmanned Aerial Vehicle |
| CFD - Computational Fluid Dynamics |
| NACA - National Advisory Committee for Aeronautics (Airfoil) |
| CLF - Airfoil code used in rotor design (specific to the study) |
| IBC - Individual Blade Control |
| EUV - Extreme Ultraviolet |
| MAVEN - Mars Atmosphere and Volatile Evolution (NASA Mission) |
| EUVM - EUV Monitor |
| T/W - Thrust-to-Weight ratio |
| PV - Photovoltaic |
| DOD - Depth of Discharge |
| RPM - Revolutions Per Minute |
| Cl - Coefficient of Lift |
| Cd - Coefficient of Drag |
| Pi - Induced Power |
| Po - Profile Power |
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| Solver type | Pressure based |
|---|---|
| Time | Transient |
| Models | Viscous Model – K-epsilon |
| Materials | Fluid: Air – Mars |
| Cell Zone Condition | Mesh Motion |
| Rotational Velocity: 2600 Rpm | |
| Boundary Condition | Inlet: Velocity inlet |
| Outlet: Pressure Outlet | |
| Blade Wall: Wall | |
| Monitors | Residual: Iterations-1000, Absolute Criteria – 0.001 |
| Initialization | Method: Hybrid Initialization |
| Calculations | Number of Time Steps: 100 |
| Max Time Step: 15 | |
| Time Step Size: 0.00015 |
| Equipment | Power (w) | Quantity |
Total power(w) |
Durations(hrs) |
Total power consumption wh/day |
|
Tilt quadcopter |
6455 | 2 | 32910 | 0.15 | 4936.5 |
| Payload | 97.5 | 2 | 195 | 0.15 | 29.25 |
| Total | 4965.75 |
| Equipment |
Power (w) |
Quantity |
Total power(w) |
Durations(hrs) | Total power consumption wh/day |
|
Coaxial Rotorcraft |
6471 | 2 | 12942 | 0.2 | 2580 |
| Payload | 97.5 | 2 | 195 | 0.2 | 39 |
| Total | | | 2619 |
| Equipment |
Power (w) |
Quantity |
Total power(w) |
Durations(hrs) |
Total power consumption wh/day |
|
Coaxial Tritor |
25430 | 2 | 50860 | 0.14 | 7120.4 |
| Payload | 97.5 | 2 | 195 | 0.14 | 27.3 |
| Total | 7147.7 |
| Configurations | PV power(W) | Battery Bank Capacity W | Weight of the Battery (Kg) | Battery rating volt |
|---|---|---|---|---|
| Tilt quadcopter | 1009.7 | 65.99 | 8.77 | 24 |
| Coaxial Rotorcraft | 532.53 | 69.61 | 4.62 | 12 |
| Coaxial Trirotor | 1453.36 | 94.99 | 12.62 | 24 |
| Configurations | Panel Area (m^2) |
|---|---|
| Tilt quadcopter | 14.48 |
| Coaxial Rotorcraft | 7.64 |
| Coaxial Trirotor | 20.83 |
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