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Integrated Autonomous Controller with Health State Awareness.

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: 80NSSC18P1904
Agency Tracking Number: 181149
Amount: $124,907.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A2
Solicitation Number: SBIR_18_P1
Timeline
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-07-27
Award End Date (Contract End Date): 2019-02-15
Small Business Information
3580 Sueldo St.
San Luis Obispo, CA 93401-7338
United States
DUNS: 149341534
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Michael Green
 Aerospace Engineer III
 (805) 275-1053
 michael.green@esaero.com
Business Contact
 Andrew Gibson
Phone: (805) 704-1865
Email: andrew.gibson@esaero.com
Research Institution
N/A
Abstract

ESAero will develop an Integrated Autonomous Controller (IAC) with Health State Awareness (HSA) which will be capable of detecting, characterizing, and adapting to pre-critical faulty behavior in a distributed electric propulsion system. The proposed system includes a Pixhawk autopilot with Ardupilot software that will be customized with propulsor health state variables and relevant autonomous directives such as limiting the throttle of an at-risk propulsor, a Jetson TX2 module embedded with ESAero’s proprietary fault detection algorithm, and data acquisition system with a suite of low-cost sensors that are to be installed throughout the aircraft. The IAC will be installed on an existing custom hexacopter test platform owned by ESAero and demonstrated in flight with simulated fault events at ESAero’s flight test facility in Oceano, CA. With generality as a key objective of the design, the IAC should be suitable for integration on a wide variety of aircraft requiring only minor modification. The IAC is expected to be a key enabling technology to safer operation of aircraft during flight testing and in-service use. Secondary benefits include Reliability-Centered Maintenance (RCM) and more efficient operation of hybrid electric propulsion systems.

* Information listed above is at the time of submission. *

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