SIERRA PROJECT Surveillance for Intelligent Emergency Response Robotic Aircraft

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SIERRA PROJECT Surveillance for Intelligent Emergency Response Robotic Aircraft University of Cincinnati - College of Engineering and Applied Science Supervisor: Dr. Kelly Cohen, Dr. Manish Kumar Team Lead: Robert Charvat Members: Nick Buhr, Andrew Nels, Nate Bodenschatz, Bryan Brown, Ted Meyer Mechanical Eng. Team Memebers: Sushil Garg, Balaji Sharma

What is SIERRA?

What is SIERRA? Uses the Zephyr Unmanned Aerial System Supports wildland fire fighting team UAS system acquires live fire progression Uses GPS to incorporate location and terrain Data used to predict fire advancement

Problems facing SIERRA Unmanned Aerial Systems are too expensive! Prices of unmanned systems are driven up due to: Huge number of certification tests Certification process is lengthy and costly Ultimately, cost could be lower

Advanced Tactical UAS Globalhawk UAV system used by the USAF Cost: Approx. $200 million High range aircraft High-tech surveillance capabilities

Tactical UAS AeroVironment RQ-11 Raven Weight: 4.2 lbs Endurance: 60-90 minutes Speed: 28-60 mph Range: 6.2 miles Altitude: 15,000 ft. Hand-launched vehicle Cost: $250,000

SIERRA UAS Marcus UAV System Weight: 5 lbs Endurance: 60 minutes Speed: 35-80 mph Range: 9 miles Altitude: 10,000 ft. Hand-launched vehicle Cost: $13,000

UAS Comparison Zephyr RQ-11 Raven Cost: $13,000 Cost: $250,000 That s a difference of $237,000!! But why?

Purpose of Certification Airworthiness certification is necessary to: Establish that the aircraft is capable of safe flight Validate aircraft was constructed to specifications Ensure safety of aircraft operator and passengers Protect the public and environment from potential catastrophe Main Purpose: Protect society from aircraft unsuitable for flight

Problem with Certification Expensive Many requirements of unmanned systems based on manned systems though they are fundamentally different Many regulations based on pass/fail basis of a requirement leaving little room for a fuzzy pass fuzzy fail.

Why should unmanned certification be different? An unmanned system can crash with little risk to pilot or ground personnel A small unmanned system is the size of a baseball, while a small manned system is the size of a car For many systems a failure is acceptable within design limits; a pass/fail test does not accurately represent requirements

Problem with Certification Airworthiness certification can be a subjective process based on risk, not a pass or fail criteria Pass or Fail Pass = 90% Fail = 10%

SLAT Introduction SLAT(System-Level Airworthiness Tool) is a tool developed by David A. Burke, Charles E. Hall Jr., and Stephen P. Cook for determining air safety requirements for UAS certification based on a set of inputs which can be utilized in various ways to assist with a UAS over its lifetime. - Certification based on moving scale determined by crash risk - Testing based on a safety score, not on a pass/fail basis - Targeting of high risk component, avoiding unnecessary on low risk components

Safety Score Calculation(TLS) SLAT works by determining a Target Level of Safety (TLS) based on a vehicles crash damage risk, and area it will be flying. + = (w) Weight and (b) Wingspan (p) Population density figures

Importance of TLS This allows for UAS to be certified based on risk/ person, not based on a single non moving standard. This provides cost savings for low risk systems in which high costs would prevent use entirely.

TLS of a particular category The Scoring works by analyzing a UAS in its 6 major failure areas. It then examines the failure modes of those areas. Testing of modes needs to support the needs of each area and be high enough to pass the safety score to be certified.

TLS Calculation Components Failure mode Type and Number of failures Failure Mode analysis Mode Safety score is calculated by: - Type of Test - Failure Mode of Test - Quality of Test Analysis of how well a Test verifies a requirement Does not address Repetitive testing or the Tiered (V Model) component testing

SLAT Tool Conclusions -SLAT is effective at providing a certification standard based on moving risk. - It can account for system level safety and component failure mode safety. - Does not address repetitive testing or multiple test setups for computation as common in V Model.

Systems Engineering V V Model is a Tiered Development/Test scheme which needs to be implemented into SLAT Tool Full System Tests Sub System Tests Component Tests (many are free)

Research Objective Use Fuzzy logic to add testing redundancy capabilities to SLAT and support tiered input structure Allows for less testing and takes advantage of the Systems Engineering V Model of development

Fuzzy Logic Introduction A simple method Compares vague ideas such as redundancy, and tiered testing relations Accounts for multiple vague variables Drawbacks Requires human adjustment and tuning to create a rule set

Rule Set Creation The rule set was based on practical assumptions by a human-based agent and simplified from the input scores into 2 mathematical inputs Fuzzy was effective for combining these abstract inputs

Fuzzy Redundant Tests The Fuzzy Tool works by analyzing a test for redundant results, and correlating their scores. Right Test results are further analyzed by the fuzzy tool to be broken down beyond test and score.

Correlated Score Values After conditions are tested for redundant performance, they are analyzed for correlating results of each condition tested to reproduce the new Test Score TLS Value

Examples System under development using V Model inherently provides 10 free component tests, and 3 free sub-component tests. Will system survive to 100 flight hours over a desert? Normal Certification Fly 5 Full systems to 100 hours without incident SLAT Tool Fly 1 Full System 100 Flight hours SLAT Fuzzy Tool Combine 10 component tests of 100 hours, with 5 subsystem tests of 20 hours, with 1 Full System Test to 10 hours

Testing Costs Component Test = $10/hr Sub System = $100/hr Full System Test = $500/hr

TLS Input Fuzzyrun.m MATLAB Previous SLAT Tool would have resulted in TLS Value of 56, but accounting for this condition being proven by 3 tests, with 2 relatively high TLS values, we can improve the overall TLS Value to 69 with the Fuzzy Tool.

Conclusions By accounting for test redundancy and correlating data, we can gain more accurate results for certifying UAS, preventing unnecessary testing, and unnecessary costs. Old TLS Value New TLS Value FAIL PASS

Questions?

References AeroVironment RQ-11 Raven, Wikipedia, 31 Feb. 2012, <http:// en.wikipedia.org/wiki/aerovironment_rq-11_raven>. Nelson, Andrew L., Introduction to Fuzzy Logic Control, University of South Florida, 9 Feb. 2004. Northrop Grumman RQ-4 Global Hawk, Wikipedia, 31 Feb. 2012, <http:// en.wikipedia.org/wiki/northrop_grumman_rq-4_global_hawk>. Paskiewicz, Frank, Airworthiness Certification of Aircraft and Related Products, Federal Aviation Administration, 31 Aug. 2010. System-Level Airworthiness Tool, David A. Burke and Charles E. Hall Jr. North Carolina State University, Raleigh, North Carolina 27695 and Stephen P. Cook Naval Air Systems Command, Patuxent River, Maryland 20670. JOURNAL OF AIRCRAFT, Vol. 48, No. 3, May June 2011