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ISHAVASYAM.ORG · Autonomous Spacecraft Health Mission 2040

Learn to Protect Missions.
Build Systems That Protect Spacecraft.

A long-term education, engineering and startup pathway focused on Autonomous Spacecraft Health Management and Safe Recovery.

Mission Health Console
Illustrative Mission Simulation

Illustrative simulation, not live spacecraft telemetry.

Electrical Power
Nominal
Thermal Control
Monitor
Attitude Control
Nominal
Communications
Degraded
Recovery Mode
Advisory
Choose Your Pathway

One mission. A lifelong pathway.

  1. Space Education (14–18)
  2. Internships & Research
  3. Validated Prototypes
  4. Young Space Startups
  1. An educational 1U CubeSat model (Mission 1’s), not flight hardware. Energy and health readings are simulated. Not to scale: Earth is a backdrop. Drag to turn, pinch or scroll to zoom, tap a part.
    01 · Discover

    Ages 14–18

    Find out how a spacecraft stays healthy, from its sensors to safe mode, through interactive 3D missions.

    • Spacecraft systems
    • Sensors and telemetry
    • Faults, redundancy and safe mode
    About this pathway
    • Spacecraft systems
    • Sensors and telemetry
    • Faults, redundancy and safe mode
    • Mission-health challenge
    Explore Space Academy

    Seven learning tracks and interactive 3D missions.

  2. The architecture, opened up: power, computing and communications highlighted, the subsystems a mission team integrates.
    02 · Engineer

    Higher Education

    Engineering students work as one mission team on the simulator, the digital twin and the recovery logic.

    • Simulator and telemetry engineering
    • Digital twins
    • Fault detection, isolation and recovery
    About this pathway
    • Simulator and telemetry engineering
    • Digital twins
    • Fault detection, isolation and recovery
    • Hardware-in-the-loop validation
    See Internships & Research

    One multidisciplinary mission team.

  3. The research method, drawn: telemetry against a model, a residual crossing its threshold, and the validation stages ahead. No measured data; the platform is planned.
    03 · Research

    Applied Teams

    Applied teams take the work towards verified algorithms, open datasets and academic and industry validation.

    • Verified algorithms
    • Fault libraries and datasets
    • Papers and patent candidates
    About this pathway
    • Verified algorithms
    • Fault libraries and datasets
    • Papers and patent candidates
    • Academic and industry validation
    View the Research Platform

    A planned research platform.

  4. From first board to integrated stack to finished satellite: the path from prototype to product. An illustration, not a specific product.
    04 · Venture

    Young Founders

    Young founders take validated prototypes towards responsible space products and services.

    • Customer discovery
    • Validated prototype
    • Responsible incubation
    About this pathway
    • Customer discovery
    • Validated prototype
    • Responsible incubation
    • Space products and services
    Express Interest as a Founder

    Records interest only; it does not confirm selection.

A CubeSat (10 cm), a model rocket (50 cm) and a CanSat (a drink can), side by side at the same scale. Separate exhibits, not one scene.
Ages 14–18 · Space Academy

Your mission starts in Space Academy

Learn space technology through interactive 3D missions, guided experiments, CanSat exploration and model rocketry.

Seven learning tracks for ages 14–16 and 17–18, and interactive 3D missions you can play in your browser. Online classes and CanSat and Model Rocketry workshops are planned.

  • Ages 14–16 Foundation: basic to intermediate
  • Ages 17–18 Advanced
  1. Mission 1 · playable nowBuild Your First CubeSat
  2. Mission 2 · playable nowSurvive the Eclipse
  3. Mission 3 · playable nowDesign a Stable Model Rocket
Space Health ExplorersPlanned Programme

How does a spacecraft know whether it is healthy?Space Health Explorers is a planned programme for students aged 14–18 exploring spacecraft health from first principles.

  • Spacecraft subsystems
  • Telemetry and sensors
  • Safe mode and redundancy
  • Mission communication delays
  • Basic anomaly reasoning
  • CanSat or simulated mission-health activity
  • Engineering ethics and safety
One Mission

Can a spacecraft understand its own health and recover safely?

Observe. Diagnose. Recover. Verify.

Learn the science

Autonomous Spacecraft Health Management is the capability to observe spacecraft telemetry, detect and isolate faults, predict mission impact, and recommend or execute verified recovery actions within bounded safety limits.

Stage 1 of 6

Observe telemetry

Every minute the spacecraft samples its own health: voltages, currents and temperatures. In sunlight the battery charges normally: 7.9 V and 18 °C.

Pack
7.90 V
Cells
3.95 / 3.95 V
Battery
18 °C
Load
4.2 W
6 V7 V8 VCut-off 6.0 V1EclipseEclipse0 min189 min
Chart data
Simulated battery pack voltage at each stage
StageMinutePack voltage
Observe telemetry307.90 V
Detect anomaly1137.02 V
Diagnose fault1176.91 V
Predict impact1206.92 V
Recover safely1266.93 V
Verify recovery1876.58 V
Without action: cut-off1826.00 V
Battery pack voltage, simulated Expected in sunlight
Engineering detail

Telemetry is judged against what the orbit predicts. In sunlight, at this state of charge, the pack should read 7.6–8.4 V. Data is stored on board and sent down at ground-station passes, which can be hours apart, so the spacecraft has to judge its own health between them.

Orbit: 500 km, one revolution every 94.5 minutes, up to 35.7 minutes of each in Earth’s shadow. The battery pack (two lithium-ion cells in series) is the unregulated battery bus; the computer and radio run from regulated 3.3 V and 5 V rails, which hold steady until the pack nears its 6.0 V cut-off.

Stage 1 of 6: Observe telemetry.

Illustrative scenario with simulated telemetry, built from stated teaching assumptions. Not data from any spacecraft, and not a validated or flight-ready autonomy system.

  1. Level 1

    Advisory

    The system detects, explains and recommends. People decide and act.

  2. Level 2

    Supervised

    The system proposes an action from a pre-approved list; an operator approves it before it runs.

    Used in the scenario above
  3. Level 3

    Bounded Autonomy

    The system may act on its own, but only within limits verified before flight, and it reports every action. Anything outside them goes back to people.

Generative AI must not directly control a safety-critical spacecraft loop. Autonomy is introduced gradually, under human supervision, and always within verified, bounded limits.

Why spacecraft need this

Future long-duration, autonomous, crewed, lunar and deep-space missions cannot depend on continuous ground intervention. A spacecraft must be able to observe its telemetry, detect anomalies, and isolate likely faults through Fault Detection, Isolation and Recovery (FDIR), predict mission impact, and recommend—or within verified limits execute—a safe recovery.

The full health-management loop diagram
Autonomous spacecraft health-management loop from telemetry monitoring through verified safe recovery.
Observe telemetry
Observe spacecraft state
Detect anomaly
Flag deviations
Diagnose fault
FDIR diagnosis
Predict impact
Predict mission impact
Recover safely
Supervised action
Verify recovery
Confirm safe state
Verified state feeds back into continuous telemetry monitoring
The autonomous spacecraft health-management loop: telemetry monitoring flows into anomaly detection, fault isolation (FDIR), mission-impact prediction, bounded recovery and verification, which feeds back into continuous telemetry monitoring.
Tutorials & Simulations

Learn by building mission-ready thinking

Guided simulation projects that turn spacecraft concepts into testable models, telemetry and engineering evidence.

  1. Orbit sizes to scale with Earth; satellites enlarged. Gold: Earth observation, 700 km. Cyan: navigation, 20,200 km.
    Interactive Learning Experience

    Space Applications

    How satellites and space data reach everyday life on the ground.

    About this tutorial

    Discover how satellites and space data improve everyday life—from weather and mobility to agriculture, connectivity, disaster response and infrastructure.

    Explore Space Applications

    Educational reference · No aerospace background needed.

  2. A 1U CubeSat, exploded into its subsystems: the Space Academy's own teaching model.
    Flagship Advanced Program

    Satellite Engineering

    From First Principles to Spacecraft Systems Architect

    Systems architecture and engineering leadership for spacecraft.

    About this tutorial

    A systems-level architecture and engineering leadership program covering mission design, spacecraft subsystems, digital twins, verification, operations, risk, cost and technical decision-making.

    Explore Satellite Engineering

    Architecture & Leadership Track · Systems Leads · CTO · Chief Architect

  3. A three-fin model rocket and a schematic flight: boost, coast to apogee, parachute descent. Not to scale.
    Interactive Learning Experience

    Model Rocketry

    Aerospace engineering from first principles, one model rocket at a time.

    About this tutorial

    Learn aerospace engineering from first principles—mission design, aerodynamics, stability, structures, propulsion, avionics, recovery and flight analysis.

    Explore Model Rocketry

    Educational aerospace learning · Beginner to advanced.

  4. Solar power falls with the Sun's angle: P = S × A × η × cos θ. Here θ = 30°, about 87% of full power.
    Educational Prototype · 12-Week Student R&D Project

    CubeTwin

    A Digital-Twin Simulation Platform for CubeSat Energy, Mission and Reliability Analysis

    Sunlight in, loads out: a CubeSat's energy balance, simulated.

    About this tutorial

    Model orbit sunlight, solar generation, battery state of charge, mission loads, faults and safe-mode decisions through an interactive beginner-friendly laboratory.

    Explore CubeTwin

    Educational R&D prototype · Simulated data · Not flight software.

  5. A generic modular station: modules, truss, solar arrays, radiators and a docked vehicle. Not a model of any real station.
    Interactive Research Platform

    Space Station

    How orbital research stations are designed, powered and operated.

    About this tutorial

    Explore how orbital research stations are designed, powered, controlled and operated—from life support and microgravity laboratories to docking, robotics and future lunar stations.

    Explore Space Station

    Educational models · Sourced programme facts · Not mission design data.

  6. APEX propulsion development hardware standing on a workshop floor, with tubing, cabling and a spherical vessel above a large conical section.
    APEX propulsion development hardware in the workshop. Photograph supplied by APEX.
    Partner Engineering Ecosystem

    APEX Rocket Systems

    Rocket Propulsion · Integrated Launch Systems

    Propulsion hardware APEX has built, and the path to a validated rocket system.

    About this tutorial

    See the 5 kN-class liquid-engine demonstrator APEX has built, and the engineering path from propulsion hardware to a validated rocket system.

    Explore APEX Collaboration Concept

    Engineering collaboration with Gamyaa AeroSystems · Official website (opens in a new tab)

  7. The tutorial's own reference engine, cut away. An educational reference architecture, not a real engine.
    Interactive Digital Twin

    Next-Generation Rocket Engine Digital Twin

    Inside a reusable liquid rocket engine, system by system.

    About this tutorial

    Explore a reusable liquid rocket engine reference architecture—propellant feed, turbomachinery, combustion, regenerative cooling, control, simulated testing and engine health monitoring.

    Explore Rocket Engine Digital Twin

    Educational demonstrator · Reference and simulated data · Not a real engine.

  8. Pressure sensors (gold) and their harness to the controller (cyan): the measurements a propulsion Digital Twin is built on.
    Physics · Pressure Monitoring · AI/ML · FDIR · Prognostics

    Advanced Rocket Propulsion Digital Twin

    Understand the Engine, then Engineer the Digital Twin

    Pressure monitoring, fault detection and prognostics for a propulsion system.

    About this tutorial

    Build a physics-based, data-driven and AI/ML-assisted Digital Twin for an end-to-end rocket propulsion system, with a focus on pressure monitoring, fault detection, diagnosis and prognostics.

    Explore Advanced Digital Twin

    Advanced educational and research-oriented reference architecture · Simulated data · Not a proprietary or flight engine.

Research, Programme & Partners

For engineering students, academics, researchers and industry. Open any panel for the detail; every status is labelled as it stands today.

Long-Term Vision

Building capability for the missions of 2035, 2040 and beyond

Independent initiative. References to national space goals are provided for educational context and do not imply endorsement, affiliation or partnership with ISRO, IN-SPACe, NSIL or the Department of Space.

ShowHide the references

This research direction is aligned with publicly stated Indian ambitions, including long-duration missions, autonomous rendezvous and docking, the Bharatiya Antariksha Station goal for 2035, and an indigenous crewed lunar landing goal for 2040.

Prepared by the ISHAVASYAM.ORG technical team. Last reviewed: 14 August 2026.

Internships & Research

One multidisciplinary mission team

Engineering students work together as one mission team rather than on unrelated projects.

ShowHide the work areas
Reference mission: A 3U/6U CubeSat health-management test environment covering electrical power, thermal control, attitude control, onboard computing, communications and payload behaviour.
  • Mission and telemetry simulator
  • Fault injection
  • Digital twin
  • Anomaly detection
  • Fault isolation and diagnosis
  • Prognostics
  • Safe recovery logic
  • Cyber-resilient telemetry
  • Verification and safety assurance
Paid training and internships are distinct. Internships will be merit-based and governed by the published terms of each cohort; sponsored or stipended opportunities will be identified explicitly when available.
Planned Labs

Hands-on mission-health labs

Isolated, authorised simulations — not yet built. Express interest to help shape them.

ShowHide 8 labs
Planned

Telemetry & Mission Operations Simulator

Practice reading and reacting to simulated spacecraft telemetry streams.

Express Interest
Planned

Spacecraft Power Fault Lab

Explore electrical power system faults and safe-mode responses.

Express Interest
Planned

Thermal Anomaly Lab

Study thermal control anomalies and their mission impact.

Express Interest
Planned

Attitude Sensor Fault Lab

Investigate attitude-control sensor faults and reconfiguration.

Express Interest
Planned

Communications Degradation Lab

Model link degradation and communication-delay scenarios.

Express Interest
Planned

Fault Injection & Diagnosis Lab

Inject faults into a simulated bus and practice diagnosis.

Express Interest
Planned

Digital Twin Calibration Lab

Calibrate a spacecraft digital twin against simulated telemetry.

Express Interest
Planned

Safe Recovery Verification Lab

Verify bounded, supervised recovery actions before they run.

Express Interest
Research

Autonomous Spacecraft Health Management System

Planned Research Platform
ShowHide the platform
  1. Layer 1
    Mission & subsystem simulation
  2. Layer 2
    Digital twin & state estimation
  3. Layer 3
    Fault detection, isolation & diagnosis (FDIR)
  4. Layer 4
    Prognostics & safe recovery
  5. Layer 5
    Verification & assurance
  1. Simulation
  2. Physical Emulation
  3. Digital Twin
  4. Supervised Recovery
  5. Flight-Representative Validation
Research Themes

Disciplined research directions

Every theme is Proposed or a Research Direction — none are claimed as active projects, papers, or repositories yet.

ShowHide 8 themes
  • 01

    Explainable spacecraft anomaly detection

    Research Direction
  • 02

    Multi-sensor fault isolation

    Research Direction
  • 03

    Remaining useful life and degradation prediction

    Proposed
  • 04

    Mission-impact assessment

    Proposed
  • 05

    Safe-mode recommendation

    Research Direction
  • 06

    Redundancy and reconfiguration

    Proposed
  • 07

    Cyber-physical anomaly discrimination

    Research Direction
  • 08

    Verification of bounded autonomous recovery

    Proposed
Five-Year Roadmap

Goals, not completed milestones

Every milestone is a goal the team is working toward, phrased honestly as forward-looking.

ShowHide the roadmap
  1. 1
    Year 1

    Foundation

    Reference CubeSat, telemetry simulator, fault scenarios, first education and internship pilots.

  2. 2
    Year 2

    Diagnosis

    Subsystem models, fault detection, explainable diagnosis, initial research outputs.

  3. 3
    Year 3

    Prognostics

    Degradation prediction, supervised recovery, hardware-in-the-loop testbed.

  4. 4
    Year 4

    Validation

    Academic/industry design partner and flight-representative pilot.

  5. 5
    Year 5

    Demonstration

    Independently verified prototype and startup-ready technology components.

Sustainable Access

How programmes will be funded

Availability, selection, fees, sponsorship and stipend conditions will be published for each programme.

ShowHide funding models
  • Participant-funded
  • Institution-funded
  • CSR-sponsored
  • Scholarship-supported
  • Grant-funded
  • Industry-sponsored
Partners

Partners & Engineering Ecosystem

APEX Rocket Systems and Gamyaa AeroSystems are working together in an engineering collaboration. The other organisations shown are proposed capability partners unless otherwise confirmed.

ShowHide the partners
Engineering Collaboration

Gamyaa AeroSystems

Digital Engineering · Digital Twin · Quality

Website of Gamyaa AeroSystems (opens in a new tab)
Proposed Capability Partner

iFab Innovations Private Limited

Embedded Systems · Firmware

Website of iFab Innovations Private Limited (opens in a new tab)
Proposed Capability Partner

iTelematics Software Private Limited

Cybersecurity · AI

Website of iTelematics Software Private Limited (opens in a new tab)
Proposed Capability Partner

EV Society

Skills · Internships · Academia

Website of EV Society (opens in a new tab)

More specialist partners are welcome across avionics, sensors, GNC, manufacturing, test infrastructure and research.

Ecosystem

Ecosystem and Responsibilities

Who is responsible for education, research, community and commercial work.

ShowHide who does what

Space is an ISHAVASYAM.ORG education, research and engineering initiative, hosted within the EV.ENGINEER engineering ecosystem. UFlight focuses on health and usage monitoring technologies for aerospace and autonomous platforms. Commercial engineering products and services, where applicable, are handled separately by iTelematics Software Private Limited under explicit agreements. Community membership is offered through EV Society, a separate community initiative.

FAQ

Common Questions

Participation

Help Build Spacecraft That Can Protect Their Missions

A neutral platform for people who want to build responsibly: an education, research and venture pathway dedicated to trustworthy spacecraft health, autonomy and safe recovery.

  • School students and educators
  • Engineering students
  • Faculty and researchers
  • Retired scientists and technical mentors
  • Space startups and industry
  • Government and institutional stakeholders
  • CSR and scholarship partners
  • Young founders

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