Adaptive Control of an Integrator with Unknown Dead-Time
(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.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8926339
- author
- Dagbro, Magnus
- supervisor
- organization
- year
- 2017
- 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}}, }