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8/13/2019 Soft Walls Short Story
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Integrated Safety Envelopes
Built-in Restrictions of Navigable Airspace
Edward A. Lee
Professor, EECS, UC Berkeley
NSF / OSTP Workshop on InformationTechnology Research for CriticalInfrastructure Protection
Sept. 19-20, 2002
With thanks to:
Adam Cataldo (Berkeley)David Corman (Boeing)
Peter Huber (Forbes Magazine)
Xiaojun Liu (Berkeley)
Per Peterson (Berkeley)
Shankar Sastry (Berkeley)Claire Thomlin (Stanford)
Don Winter (Boeing)
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The General Principle
Networked systems can impose safety envelopes This is the intent of the air traffic control system
Networks fail E.g. Malicious pilots can ignore air traffic control directives
Components can locally impose safety envelopes Tighter envelopes may be required when networks fail
Software-driven control systems enable imposition ofsafety envelopes at all levels of the network hierarchy Air traffic control
Individual aircraft
Individual engine
Individual part Principle:Integrated Safety Envelopes
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Flexible Networked Systemswith Rich Functionality
Principle:
Integrated Safety Envelopes
Networked embedded system with a rich set of safe behaviors
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Compromised Networked SystemsFalls back to Less Functionality
Principle:
Integrated Safety Envelopes
Compromised system has fewer safe behaviors
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Hierarchical Networked SystemsWith Locally Defined Safety Envelopes
Principle:
Integrated Safety Envelopes
Compromised subsystem behavior within locallydefined safety envelopes
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Illustration of the Principle: Softwalls
Enforce no-fly zones in the on-board avionics.
Carry on-board a 3-D database with no-fly-zones.
Localization technology identifies aircraft position. GPS + inertial navigation system
Principle:Maximize pilot authoritySubject to the no-fly zone constraintMaintain aircraft responsivity
System is not networked and not hackable.
Improves aircraft safety prevents controlled flight into terrain.
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No-Fly Zone with HarsherEnforcement
There are already
regions of space intowhich aircraft cantfly. The idea is tomake some of thesevirtual.
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Trajectory with Maximally Uncooperative Pilot
Assumptions:
speed: 0.1 miles/sec = 360 miles/hourMax rate of turn: M = 2p/20 radians/secmin turning radius: speed/M = 0.32 miles
pilot turns towards the wall
t
he
wall
bias starts, pilot counteracts
pilot controls saturate
pilot regains steeragetowards wall
nautical miles
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Aircraft is Diverted by a Blending Controller,which Combines a Bias with Pilot Directives
force of
the wind onthe sails
turnedrudderkeeps thetrajectorystraight
withstraightrudder
with turnedrudder
Even with weather helm, thecraft responds to fine-graincontrol as expected.
Sailing analogy: weather helm
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Related Methods
Ground proximity warning systems Automatic ground avoidance systems
TCAS & ACAS collision avoidance
Potential field methods for air-traffic control
Honeywell
TCAS
Rockwell conflict resolution
These all share one feature:localization of safety envelopes.
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Issues
Reducing pilot authority is dangerous reduces ability to respond to emergencies
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Is There Any Aircraft Emergency Severe Enoughto Justify Trying to Land on Fifth Ave?
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Issues
Reducing pilot authority is dangerous reduces ability to respond to emergencies
There is no override switch in the cockpit
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No-Fly Zone with HarsherEnforcement
There is nooverride in thecockpit thatallows pilots tofly throughthis.
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Issues
Reducing pilot authority is dangerous reduces ability to respond to emergencies
There is no override switch in the cockpit
Localization technology could fail GPS can be jammed
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Localization Issues
GPS falls back to Inertial navigation
Localization is the technology forreliably and accurately knowing the
location of an object.
Accurate, robust localizationtechnology is an essentialtechnology.
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Issues
Reducing pilot authority is dangerous reduces ability to respond to emergencies
There is no override switch in the cockpit
Localization technology could fail GPS can be jammed
Deployment could be costly
how to retrofit older aircraft?
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Deployment
Fly-by-wire aircraft a software change
Older aircraft autopilot level?
Phase in prioritize airports
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Issues
Reducing pilot authority is dangerous reduces ability to respond to emergencies
There is no override switch in the cockpit
Localization technology could fail GPS can be jammed
Deployment could be costly
how to retrofit older aircraft? Deployment could take too long
software certification
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Softwalls Works WhenAir Traffic Control Fails
This seems largelyorthogonal of airtraffic control, andcould complement
safety methodsdeployed there. It isself-contained on asingle aircraft.Improves robustnessof any air traffic
control system.
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Issues
Reducing pilot authority is dangerous reduces ability to respond to emergencies There is no override
switch in the cockpit
Localization technology could fail GPS can be jammed
Deployment could be costly how to retrofit older aircraft?
Deployment could take too long software certification
Fully automatic flight control is possible throw a switch on the ground, take over plane
UAV T h l
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UAV Technology(Unoccupied Air Vehicle)
e.g. Global Hawk(Northrop Grumman)
Technology Support Working Group(TSWG), office of the Secretary ofDefense, recommends against any
partial control approach. Theirfeeling is that there is only onefeasible strategy: a single trigger,either on-board or remote control,that would assume complete controland take the plane to a safe base.
Northrop Grumman has such asystem in the Global Hawk UAV thatsome believe can be dropped-in topassenger airliners.
P l P bl h h
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Potential Problems with Switching toGround Control When Threat is Detected
Human-in-the-loop delay on the ground authorization for takeover delay recognizing the threat
Security problem on the ground hijacking from the ground?
takeover of entire fleet at once?
Requires radio communication hackable
jammableThis does not follow theprinciple ofIntegrated
Safety Envelopes
d f E l
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Integrated Safety EnvelopesResearch Agenda
Defining hierarchical safety envelopes Model-based design Fault and threat detection
On-line models
Fault and threat isolation Mode changes to impose safety envelopes
Predictable mode transitions Avoid emergent behavior, propagating effects
Adapting existing systems Models must include the phase-in transition
Policy issues Limiting authority
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Conclusions
Dont have to choose between large,centralized control, and decentralized,semi-autonomous actors. Use both
Failures or threats tighter safety envelopes
Need control algorithms that maintain safe
operating parameters and maximize localauthority subject to the safetyconstraints.