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Marengo is an AI-powered mission design assistant that provides space engineers with citation-backed insights to enhance their project outcomes.

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4 Prompts Available

Copy-paste ready prompts optimized for Marengo

You are a mission/orbit design engineer. Propose 2–3 viable orbit options for a spaceborne SAR mission and justify the trade.

Mission needs:
- Target latitude range: [e.g., global / ±70° / specific region]
- Required revisit: [e.g., <24 h / 3 days / weekly] at [incidence angle range]
- Desired ground resolution: [m] and swath: [km]
- SAR band: [X/C/L], imaging modes: [Stripmap/Spotlight/ScanSAR]
- Spacecraft constraints: mass [kg], max power [W], max downlink [Mbps], max slew rate [deg/s]
- Ground segment: # ground stations and latitude(s)

Deliver:
1) A short list of candidate orbits with (altitude, inclination, LTAN if SSO, repeat cycle, max access/revisit, beta angle implications).
2) For each orbit: expected coverage/revisit for the target region, key SAR geometry impacts (look/incidence angle ranges, Doppler/PRF considerations, shadow/layover risk).
3) A decision matrix (revisit, coverage, resolution geometry, downlink opportunity, drag/lifetime, radiation, cost/complexity).
4) Final recommendation and what requirements it best satisfies. State assumptions explicitly.
Compare reaction-wheel ADCS vs magnetorquer-only ADCS for a nanosatellite and recommend an architecture for the stated mission.

Inputs:
- Platform: [1U/3U/6U/12U], inertia estimate or dimensions: [ ]
- Pointing: accuracy [deg/arcmin], stability [deg/s or arcsec/s], knowledge [ ], jitter limit [ ]
- Agility: max slew [deg] in [s], retarget frequency [per orbit/day]
- Environment: orbit [LEO/SSO], altitude [km], geomagnetic latitude range (if relevant)
- Payload sensitivity: [imager exposure time / antenna beamwidth / SAR?]
- Constraints: power average/peak [W], volume [U], cost, reliability class

Deliver:
1) Disturbance torque estimate (aero, gravity-gradient, magnetic residual dipole, SRP) and control authority comparison.
2) Mode table (detumble, coarse point, fine point, momentum management) for each architecture.
3) Sizing guidance: wheel torque/momentum capacity and required magnetic dipole moment; duty-cycle and power impacts.
4) Risks/failure modes and mitigations (wheel saturation, bearing failures, MTQ-only limitations, eclipse operations).
5) A decision matrix + recommended architecture for the given pointing/agility needs.
Assume reasonable values if inputs are missing and show sensitivity to key assumptions.
Create a realistic power budget for an Earth-observation CubeSat and give typical ranges by bus size.

Inputs:
- Bus size: [3U/6U/12U/16U], orbit: [SSO/LEO], altitude [km]
- Payload: [RGB imager / multispectral / hyperspectral / thermal], resolution goal [m], duty cycle [min/orbit]
- Comms: band [UHF/S/X], downlink rate [Mbps], contact time [min/day], TX power [W]
- ADCS: pointing class [coarse/fine], actuators [MTQ / wheels], star tracker? [Y/N]
- Ops concept: imaging per day [ ], downlink windows [ ], safe mode assumptions

Deliver (with a clear table):
1) Subsystem power (avg/peak) + duty cycle: OBC, EPS losses, ADCS, payload, comms, thermal, propulsion (if any).
2) Orbit-average energy balance: sunlight/eclipse fractions, required solar array average power, battery Wh and DoD.
3) Example configurations for [3U, 6U, 12U] showing "typical" and "high-performance" cases.
4) Key design drivers and quick checks (margin %, worst-case eclipse season, panel pointing losses).
State assumptions and provide ranges when values vary widely.
Design a Concept of Operations (ConOps) for a sample extraction and return mission. Use a mission-phase structure and be explicit about timelines, autonomy, and ground operations.

Inputs:
- Target body: [asteroid / Moon / Mars / comet], launch window constraints: [ ]
- Sample type and amount: [g/kg], acquisition method: [drill/scoop/corer], containment requirements: [planetary protection level]
- Return mode: [direct Earth entry capsule / rendezvous in Earth orbit / lunar return], max mission duration: [ ]
- Comms: [DSN class?], autonomy level: [low/med/high], navigation: [optical/LiDAR/radar]
- Constraints: total mass [kg], power [W], propulsion type [chemical/EP], risk posture [demo/flagship]

Deliver:
1) Mission phases with entry/exit criteria: cruise, approach, proximity ops, landing/touch-and-go, sampling, ascent, departure, cruise back, Earth return & recovery.
2) A step-by-step operations timeline (sequence of events) including comm passes, decision points, contingencies, and safe modes.
3) Roles and responsibilities: flight software autonomy vs ground-in-the-loop, fault protection, verification checkpoints.
4) Interfaces: GNC sensors/actuators, sample chain-of-custody, thermal/contamination controls, recovery ops.
5) Top risks (technical + ops) and mitigations; include "what-if" branches for off-nominal cases.
Make assumptions as needed and label them clearly.