# Presentation: 612039

## Intelligent Mission ManagementJoseph Totah	Sub-Project ManagerJoseph.J.Totah@nasa.gov / 650-604-1864Chad Frost	Task Lead, Intelligent/Autonomous ArchitecturesFrancis Enomoto	Task Lead, Collaborative and Coordinated Systems

## Outline

- Context
- 	Program/Project Alignment
- 	Relationship to Other Sub-Projects
- 	UAV Sector Requirements
- 	UAV Sector GOTChA Excerpt
- Sub-Project Plans
- 	Scope
- 	Schedule/Budget
- Mission Relevance
- 	Terrestrial
- 	Planetary
- Recent Highlights
- Summary

## Program/Project Alignment

**Autonomous Robust Avionics (AuRA)**

**Project **
**Management**

**Intelligent/Autonomous Architectures (IAA)**

**Collaborative and Coordinated Systems (CCS)**

**Vehicle Systems Program**

**Autonomous **
**Vehicle Operations (AVO)**

**Sentient Air Vehicle Foundation Technologies**

**Adaptive/Optimal **
**Flight Control **
**(AOFC)**

**Rotorcraft Flight **
**Controls **
**(RCFC)**

**Integrated Vehicle**
**Systems Mgt. **
**(IVSM)**

**Intelligent Mission Management (IMM)**

**Program/Project Alignment**

## Relationship to Other Sub-Projects

## Vehicle Sector Requirements

**Subsonic**

**Supersonic**

**Personal Air Vehicle**

**Uninhabited Air Vehicle**

**Extreme STOL**

**Rotorcraft**

**“****Our success is measured by the extent to which our results are used by others to improve the quality of life and enable exploration and scientific knowledge”  *****Aeronautics Enterprise Strategy***

**Vehicle Sector Requirements**

## UAV Sector GOTChA Excerpt

- SOA:  10%

**100% Autonomous Mission Operations****SOA:   90% Autonomous**

- Develop artificial intelligence & integrated vehicle health mgmt incl damage tolerance

- Develop real-time flight planning, health monitoring and re-configuration

**Goal**

**Objective**

**Technical**
**Challenges**

**Approach**

- Develop long endurance unaided autonomous navigation

**UAV Sector GOTChA Excerpt**

**Notes:**
Each sector has a gotcha chart.
Sector cuts across projects.

Projects support the sector goals.

Metrics representative of pilot experience with current SOA in autonomy for nominal and off-nominal situations

## Scope

**Scope**

**Notes:**
Each sector has a gotcha chart.
Sector cuts across projects.

Projects support the sector goals.

Metrics representative of pilot experience with current SOA in autonomy for nominal and off-nominal situations

## Schedule of Proposed Milestone

**Schedule of Proposed Milestone**

**Advanced Algorithms Technology Development**

- TERRESTRIAL AND PLANETARY ANALOGUE APPLICATIONS

- FY05

- FY06

- FY08

- FY07

- FY06

- FY07

- FY09

- FY08

- Technology Readiness Level

- TRL 3

- TRL 5

- TRL 4

- Budget (Full Cost)

- 6.0

- 5.5

- 5.0

**Graphical Overview of Project:**
- Illustrates parallel approach of working on Subsystem-level through System-of-Systems level applications.
- Critical development products are algorithms and these algorithms are continually infused, tested, and proven in applications.

- FY09

- FY04

- FY05

- FY04

- 6.0

- 5.0

- 0.3

***Algorithms infused and proven in terrestrial and planetary analogue applications***

**Notes:**
IMM focus is UAV Sector (Earth Science and Planetary)

HALE ROA - picture intended to illustrate Earth Science focus

Earth Science divided into 3 categories: Science, Applications, New Missions

Missions emphasize payload and integrated observing capability (sensor web)

## Intelligent Mission ManagementDisaster Response Using UAVs

**Problem **
**	****Improve wildfire response and decision support systems**
**Solution**
**	****Develop and evaluate new and innovative UAV technology to improve tactical observation of wildfire conditions and support validation of satellite-derived strategic wildfire information**
**Technical Challenge**
**	****Long-duration, mission-dependent, autonomous navigation & control of the UAV (24-36 hours over Western U.S.), and seamless information management for decision support and rapid response**

- Payload - AIRDAS: Airborne Infrared Disaster Assessment System

- UAV’s - Altair, Altus

## Disaster Monitoring Mission (e.g. Wildfire)

**Disaster Monitoring Mission (e.g. Wildfire)**

**Notes:**
UAV First Response Experiment (FiRE):
Satellites:
Data from EOS taken during the 2002 fire season, measured using the MODIS instrument (Moderate Intensity Imaging Spectrometer

2 satellites (Aqua and Terra)

Each satellite passes twice a day (once in the morning and once in the afternoon)

MODIS: 2200 KM swath, but can only measure 1 KM X 1 KM

Raw data available in 20 minutes, processed data in 40 minutes

UAV Mission:
Fly 24-36 hrs to validate satellite data using UAV AIRDAS payload (Airborne Infrared Disaster Assessment System).

Data products: geo-registered imagery superimposed on maps showing fire location intensity, and terrain.  Relayed to the Incident Command Center

## Problem 
	Reconnaissance in advance of EVA traverse.  High resolution science measurements.  
Solution
	Develop and evaluate new and innovative PFV technology to scout remote work sites and traverse routes**, and conduct science-driven atmospheric and geological surveys
Technical Challenge
	Fully integrated (air/ground), multi-role autonomous operations, including surface interaction via deployed sensors and/or VTOL operations

**Problem **
**	****Reconnaissance in advance of EVA traverse.  High resolution science measurements.  **
**Solution**
**	****Develop and evaluate new and innovative PFV technology to scout remote work sites and traverse routes**, and conduct science-driven atmospheric and geological surveys**
**Technical Challenge**
**	****Fully integrated (air/ground), multi-role autonomous operations, including surface interaction via deployed sensors and/or VTOL operations**

**Intelligent Mission Management*****Relevance to Exploration***

- * H&RT Intramural Award: “A Plug-and-Play Architecture for Real-Time Intelligent Avionics”, K. KrishnaKumar
- **NASA/TP-2001-209371; “The Mars Surface Reference Mission: A Description of Human and Robotic Surface Activities”

- *

## An Integrated Systems Approach

_**EXPLORE NEW AEROSPACE MISSIONS**_

- Observations

_**VALUE & BENEFITS**_

_**SYSTEM MODELS (e.g. ESE)**_

_**OBSERVATIONS (e.g. ESE)**_

- Predictions

**Air Plume/deposition Models: *****ALOHA, HYSPLIT***
**Hydrologic and Hydraulic Models: *****FLDWAVE***
**Weather:**** *****ETA, Aviation (NCEP)***
**Agriculture/Biology:**** *****Vegetation NDVI, Vector Models***

**Land: *** Landsat, SRTM, *GPS- SCIGN, Terra, Aqua, GRACE
**Ocean: ***QuickSCAT, Seawinds, IceSAT, GOES, POES, SSMI, JASON, TOPEX/POSEIDON*
**Atmosphere: ***TRMM, GOES, POES, ****GPM, NPP, NPOESS***

**Improve disaster response**
**Identify/prioritize high-risk communities**
**Reduction in lives lost, damage cost**
**Enhance mission effectiveness and flexibility**
**Identify/prioritize and acquire targets of opportunity**
**Increased science return, integrated observations (surface, aerial, and space-based)**

**********Supported Non-NASA Model***

****Future Mission***

**Hurricane Genesis, Evolution, and Landfall **
**Atmospheric Composition**
**Precision Agriculture**
**Disaster Reconnaissance **
**Planetary Exploration**** **

- Examples

**An Integrated Systems Approach**

## AuRA

- Autonomous Robust Avionics ProjectIntelligent Mission Management Sub-Project**Intelligent/Autonomous Architectures Task**

- Develop real-time flight planning, health monitoring and reconfiguration, and long endurance unaided autonomous navigation

**5-year Capability**

- Reactive autonomy in uncertain environments

*Video clip - click to play (45sec)*

**Recent Highlights**

## Meetings and Workshops Used for Sub-Project Planning
May, 2004: Vehicle Systems Annual Meeting
Impact - Industry feedback/buy-in

June, 2004: FiRE Synergy Workshop (NASA, CSU Monterey Bay, USFS)
Impact - Tactical Fire Remote Sensing Advisory Committee recommended updated priorities to incorporate “...NASA’s technology development and demonstration efforts, leading to tech transfer to the US Forest Service”

July, 2004: Suborbital Science Missions of the Future Workshop
Impact - Final report forthcoming.
Participated in the “weather” breakout
Mothership/daughtership (active control of next generation of “smart” dropsondes)
Multi-ship (simultaneous measurement of upstream conditions for hurricane genesis)

August, 2004: Exploration Aerial Vehicles Workshop
Impact - Refocus on Low TRL Planetary Flight Vehicles with Earth analogue demonstrations

September, 2004: UAV Sector and L2/L3 Meeting (next week)
Impact - Coordination of ITAS, LEAP, and AuRA technology demonstrations with F&SD for 14 day Sub-Orbital Long Endurance Observer (SOLEO) and multi-month Global Observer

- Meetings and Workshops Used for Sub-Project Planning
- May, 2004: Vehicle Systems Annual Meeting
- Impact - Industry feedback/buy-in
- June, 2004: FiRE Synergy Workshop (NASA, CSU Monterey Bay, USFS)
- Impact - Tactical Fire Remote Sensing Advisory Committee recommended updated priorities to incorporate “...NASA’s technology development and demonstration efforts, leading to tech transfer to the US Forest Service”
- July, 2004: Suborbital Science Missions of the Future Workshop
- Impact - Final report forthcoming.
- Participated in the “weather” breakout
- Mothership/daughtership (active control of next generation of “smart” dropsondes)
- Multi-ship (simultaneous measurement of upstream conditions for hurricane genesis)
- August, 2004: Exploration Aerial Vehicles Workshop
- Impact - Refocus on Low TRL Planetary Flight Vehicles with Earth analogue demonstrations
- September, 2004: UAV Sector and L2/L3 Meeting (next week)
- Impact - Coordination of ITAS, LEAP, and AuRA technology demonstrations with F&SD for 14 day Sub-Orbital Long Endurance Observer (SOLEO) and multi-month Global Observer