Title :
Artificial homeostasis for vehicle control architecture of unmanned spacecraft
Author :
Insaurralde, Carlos C. ; Vassev, Emil
Author_Institution :
Inst. of Sensors, Signals & Syst., Heriot-Watt Univ., Edinburgh, UK
Abstract :
Current space missions are increasingly demanding more autonomy in control architectures for Unmanned Space Vehicles (USVs), so unmanned long-term missions can be afforded. Continuous assurance of effective adaptation to unpredictable internal and external changes along with efficient management of resources is essential for such requirements. One of the attractive solutions is that inspired by the physiology of living systems as to self-regulation in order to achieve continuous adaptation to the environment by changing internal conditions. The physiological functions are performed by nervous system reflexes that are the foundations for self-regulatory mechanisms such as homeostasis. Building artificial self-regulation similar to the biological ones into USVs makes them highly-viable and ultra-stable in order to support very long missions. This paper presents aspects on how to endow USVs with Artificial Nervous Reflexes (ANRs) by means of applying physiological principles of self-regulation to the USV control architecture, so resilience and persistence can be supported. A case study of a composite orbiter (i.e. a USV) for the BepiColombo mission to Mercury is presented. The ANRs studied are needed to guarantee the self-regulation of response time (latency), operation temperature (thermoregulation), and power consumption (energy balance). Results from a cross-checked analysis of the above self-regulation mechanisms are also presented.
Keywords :
Mercury (planet); autonomous aerial vehicles; living systems; neurophysiology; ANR; BepiColombo mission; USV control architecture; artificial homeostasis; artificial nervous reflex; artificial self-regulation; composite orbiter; continuous adaptation; living systems physiology; mercury; physiological function; physiological principle; resources management; self-regulatory mechanism; unmanned long-term missions; unmanned space vehicles; unmanned spacecraft; vehicle control architecture; Adaptation models; Monitoring; Nervous system; Physiology; Resilience; Robots; Temperature measurement;
Conference_Titel :
Aerospace Conference, 2014 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4799-5582-4
DOI :
10.1109/AERO.2014.6836431