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Artificial Immune Systems: An Overview for Faulting Actuators

Engineering Department, SUNY Maritime College, Throggs Neck, NY 10465, USA
Actuators 2019, 8(3), 53;
Received: 31 May 2019 / Revised: 24 June 2019 / Accepted: 27 June 2019 / Published: 29 June 2019
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This paper reviews Artificial Immune Systems (AIS) that can be implemented to compensate for actuators that are in a faulted state or operating abnormally. Eventually, all actuators will fail or wear out, and these actuator faults must be managed if a system is to operate safely. The AIS are adaptive algorithms which are inherently well-suited to these situations by treating these faults as infections that must be combated. However, the computational intensity of these algorithms has caused them to have limited success in real-time situations. With the advent of distributed and cloud-based computing these algorithms have begun to be feasible for diagnosing faulted actuators and then generating compensating controllers in near-real-time. To encourage the application of AIS to these situations, this work presents research for the fundamental operating principles of AIS, their applications, and a brief case-study on their applicability to fault compensation by considering an overactuated rover with four independent drive wheels and independent front and rear steering. View Full-Text
Keywords: artificial immune system; fault-tolerant control; genetic algorithms; case-study artificial immune system; fault-tolerant control; genetic algorithms; case-study

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Kidd, R. Artificial Immune Systems: An Overview for Faulting Actuators. Actuators 2019, 8, 53.

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