Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

A self-tuning brain emotional learning-based intelligent controller for trajectory tracking of electrohydraulic actuator

Tools
- Tools
+ Tools

Nahian, S. A., Truong, Dinh Quang and Ahn, Kyoung Kwan (2014) A self-tuning brain emotional learning-based intelligent controller for trajectory tracking of electrohydraulic actuator. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 228 (7). pp. 461-475. doi:10.1177/0959651814530275 ISSN 0959-6518.

Research output not available from this repository.

Request-a-Copy directly from author or use local Library Get it For Me service.

Official URL: http://dx.doi.org/10.1177/0959651814530275

Request Changes to record.

Abstract

Realization of biologically motivated algorithms in industrial applications is becoming a new research, especially in the field of electrohydraulic systems. One of the recent innovations named brain emotional learning–based intelligent controller has been catching eyes of the researcher as a model-free adaptive controller, which has effective capabilities to handle nonlinearities and uncertainties of controlled systems. The aim of this article is to develop a so-called self-tuning brain emotional learning–based intelligent controller for tracking control of electrohydraulic actuators. Here, the main control unit brain emotional learning–based intelligent controller is used to drive the system to desired targets. Meanwhile, a fuzzy inference is designed to tune online the reward function (RF) parameter of the brain emotional learning–based intelligent controller, which enables the system robustness and stability. A test rig employing an electrohydraulic actuator is then setup to investigate the system control performance. The experimental results implied that proposed controller has strong ability to drive the system to follow different reference trajectories with minimal errors.

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
Publisher: Sage Publications Ltd.
ISSN: 0959-6518
Official Date: August 2014
Dates:
DateEvent
August 2014Published
6 May 2014Available
13 February 2014Accepted
26 July 2014Submitted
Volume: 228
Number: 7
Page Range: pp. 461-475
DOI: 10.1177/0959651814530275
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us