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Adaptive Control of an Integrator with Unknown Dead-Time

Dagbro, Magnus (2017)
Department of Automatic Control
Abstract
An adaptive control system is proposed for an unknown integrator process with unknown dead-time. The process dead-time and gain are estimated simultaneously using an extended regression model and recursive least-squares estimation. The parameter estimates are used to scale the actuator signal, transforming the unknown process into a known reference process, while the dead-time estimate provides deadtime compensation via state prediction.
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author
Dagbro, Magnus
supervisor
organization
year
type
H3 - Professional qualifications (4 Years - )
subject
report number
TFRT-6030
ISSN
0280-5316
language
English
id
8926339
date added to LUP
2017-10-06 09:28:54
date last changed
2017-10-06 09:28:54
@misc{8926339,
  abstract     = {{An adaptive control system is proposed for an unknown integrator process with unknown dead-time. The process dead-time and gain are estimated simultaneously using an extended regression model and recursive least-squares estimation. The parameter estimates are used to scale the actuator signal, transforming the unknown process into a known reference process, while the dead-time estimate provides deadtime compensation via state prediction.}},
  author       = {{Dagbro, Magnus}},
  issn         = {{0280-5316}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Adaptive Control of an Integrator with Unknown Dead-Time}},
  year         = {{2017}},
}