University of Illinois Urbana-Champaign

Computationally-efficient modeling and optimization of strain-actuated solar arrays with tailored viscoelastic damping for spacecraft attitude control

Lee, Yong Hoon; Vedant; Allison, James T.

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https://hdl.handle.net/2142/106101

Description

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.
Issue Date
2020-02-01
Keyword(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.
Type of Resource
image
Language
en
Permalink
http://hdl.handle.net/2142/106101
Sponsor(s)/Grant Number(s)
National Science Foundation Grant No. CMMI-1653118
Copyright and License Information
Copyright (c) 2020 by Yong Hoon Lee. Published by the University of Illinois at Urbana-Champaign, with permission.

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