New autonomous scheme of iterative learning control for online implementation. (2018)
- Record Type:
- Journal Article
- Title:
- New autonomous scheme of iterative learning control for online implementation. (2018)
- Main Title:
- New autonomous scheme of iterative learning control for online implementation
- Authors:
- Noueili, Leila
Chagra, Wassila
Lahmari, Moufida Ksouri - Abstract:
- The purpose of this paper is to achieve the implementation of a new autonomous control scheme combining two phases: online error learning and control procedure implementation on the Arduino-Uno microcontroller. This paper presents the realisation of a real time implementation of three control algorithms applied to a resistor-capacitor (RC) circuit. Two iterative learning control schemes, proportional iterative learning control (ILC-1) and optimal iterative learning control (ILC-2) are studied and implemented and their performance results are also compared to proportional-integrator (PI) controller. The experimental results show the feasibility and the efficiency of the online autonomous control scheme.
- Is Part Of:
- International journal of modelling, identification and control. Volume 30:Number 4(2018)
- Journal:
- International journal of modelling, identification and control
- Issue:
- Volume 30:Number 4(2018)
- Issue Display:
- Volume 30, Issue 4 (2018)
- Year:
- 2018
- Volume:
- 30
- Issue:
- 4
- Issue Sort Value:
- 2018-0030-0004-0000
- Page Start:
- 273
- Page End:
- 283
- Publication Date:
- 2018
- Subjects:
- anticipatory ILC -- optimal ILC -- Arduino-Uno microcontroller -- real time control
Engineering -- Methodology -- Periodicals
Science -- Methodology -- Periodicals
001.42 - Journal URLs:
- http://www.inderscience.com/browse/index.php?journalID=176 ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1746-6172
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9270.xml