Software Enabled Control

Chapter 12.7 - Performance Assessment And Implementation Issues

12.7.   PERFORMANCE ASSESSMENT AND
IMPLEMENTATION ISSUES


A performance assessment methodology has been developed to measure the
stability and robustness of mode transition controllers with respect to initial
condition uncertainty and/or parametric changes of the system to be controlled.
Details of this approach can be found in reference 37. Mode
transitioning and limit avoidance algorithms are implemented on a hardwarein-
the-loop simulation of an autonomous UAV using the open-control platform
9OCP0 developed by a consortium of participating contractors in
DARPA’s Software Enabled Control program that includes Boeing, Georgia
Tech, Honeywell, and U.C. Berkeley [38]. More recent developments in
online adaptation of mode transition controllers and limit avoidance algorithms
are implemented on a YAMAHA R-MAX UAV using the OCP.
Georgia Tech intends to perform a series of flight demonstrations with this
vehicle that will integrate adaptive mid-level controls, the OCP, and the
vehicles instrumentation suite. Flight testing, initiated in 2002, will demonstrate
extreme performance of such vehicles when advanced software-enabled
controls are augmenting the vehicle’s conventional capabilities.

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