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Title:Computationally-efficient modeling and optimization of strain-actuated solar arrays with tailored viscoelastic damping for spacecraft attitude control
Author(s):Lee, Yong Hoon; Vedant; Allison, James T.
Subject(s):modeling
optimization
control
solar array
viscoelasticity
damping
spacecraft
attitude control system
dynamics
active control
co-design
control co-design
pseudospectral method
state-space approximation
impulse function
linear time invariant
Abstract:The recently-introduced strain-actuated solar array (SASA) spacecraft attitude control system (ACS) is expected to enable new levels of pointing precision for next-generation space observatories. Previous work has shown that tailored passive viscoelastic damping can help mitigate control system complexity by using passive damping to manage high-frequency vibration modes, while the active control system focuses on lower-frequency dynamics. Viscoelastic materials (VEMs) exhibit hysteretic behavior, requiring the use of computationally-expensive models based on integro-differential equations. A class of approximations is presented here where convolution integrals are replaced with linear time-invariant state-space equations with auxiliary states to reduce computational expense significantly, supporting the application of control co-design optimization, while maintaining requisite accuracy. This approach eliminates time history integration needed for derivative function calculation, which opens up the possibility of using general optimal control toolkits as well as advanced computationally-efficient methods for approximating system dynamics derivative functions.
Issue Date:2020-02-01
Citation Info:Yong Hoon Lee, Vedant, and James T. Allison. Computationally-efficient modeling and optimization of strain-actuated solar arrays with tailored viscoelastic damping for spacecraft attitude control. In 2020 AAS Guidance Navigation and Control Conference, Breckenridge, CO, USA. February 2020.
Genre:Conference Poster
Type:Image
Language:English
URI:http://hdl.handle.net/2142/106101
Sponsor:National Science Foundation Grant No. CMMI-1653118
Rights Information:Copyright (c) 2020 by Yong Hoon Lee. Published by the University of Illinois at Urbana-Champaign, with permission.
Date Available in IDEALS:2020-02-06


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