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        <identifier>oai:drops-oai.dagstuhl.de:12387</identifier>
        <datestamp>2024-03-12T11:57:05Z</datestamp>
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          <dc:title>smARTflight: An Environmentally-Aware Adaptive Real-Time Flight Management System</dc:title>
          <dc:creator>Farrukh, Anam</dc:creator>
          <dc:creator>West, Richard</dc:creator>
          <dc:subject>adaptive real-time systems</dc:subject>
          <dc:subject>safety criticality</dc:subject>
          <dc:subject>flight controller</dc:subject>
          <dc:subject>multi-rotor drones</dc:subject>
          <dc:subject>environmental awareness</dc:subject>
          <dc:description>Multi-rotor drones require real-time sensor data processing and control to maintain flight stability, which is made more challenging by external disturbances such as wind. In this paper we introduce smARTflight: an environmentally-aware adaptive real-time flight management system. smARTflight adapts the execution frequencies of flight control tasks according to timing and safety-critical constraints, in response to transient fluctuations of a drone’s attitude. In contrast to current state-of-the-art methods, smARTflight’s criticality-aware scheduler reduces the latency to return to a steady-state target attitude. The system also improves the overall control accuracy and lowers the frequency of adjustments to motor speeds to conserve power. A comparative case-study with a well-known autopilot shows that smARTflight reduces unnecessary control loop executions under stable conditions, while reducing response time latency by as much as 60% in a given axis of rotation when subjected to a 15° step attitude disturbance.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Anam Farrukh and Richard West</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 165, 32nd Euromicro Conference on Real-Time Systems (ECRTS 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ECRTS.2020.24</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-123874</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2020.24</dc:identifier>
          <dc:language>eng</dc:language>
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