DocumentCode
1947911
Title
An experimental HIL study on the jitter sensitivity of an adaptive control system
Author
Abugchem, Fathi ; Short, Michael ; Donglai Xu
Author_Institution
Electron. & Control Group, Teesside Univ., Middlesbrough, UK
fYear
2013
fDate
10-13 Sept. 2013
Firstpage
1
Lastpage
8
Abstract
It has been widely accepted that real-time implementations of feedback control systems can be susceptible to timing jitters which may be caused by the underlying real-time and/or embedded implementation architecture. Previous experimental studies aimed at quantifying the levels of degradation that may be observed have mainly concentrated upon relatively simple fixed-gain feedback control schemes (e.g. PID) and time-invariant plant. Although some degradation has been observed, most systems have been shown to be surprisingly robust unless driven to extreme limits. In this paper, we study the jitter sensitivity of a real-time embedded implementation of a digital parameter-adaptive control system. The purpose of the study was two-fold; primarily, to obtain empirical data related to jitter sensitivity (as measured by a quadratic performance metric), and secondarily to explore the potential impact of the underlying scheduler choice on system behavior. The findings indicate that the adaptive controller was heavily influenced by sampling jitter, and that the choice of task scheduler had a role to play.
Keywords
adaptive control; feedback; timing jitter; adaptive controller; digital parameter adaptive control system; experimental HIL study; feedback control systems; jitter sensitivity; scheduler choice; simple fixed gain feedback control; system behavior; task scheduler; time invariant plant; timing jitters; Control systems; Hardware; Jitter; Libraries; Process control; Real-time systems; Software;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
Conference_Location
Cagliari
ISSN
1946-0740
Print_ISBN
978-1-4799-0862-2
Type
conf
DOI
10.1109/ETFA.2013.6647944
Filename
6647944
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