Sensor optimisation via H-inf applied to a MAGLEV suspension system

Michail, Konstantinos and Zolotas, Argyrios and Goodall, Roger and Pearson, John (2008) Sensor optimisation via H-inf applied to a MAGLEV suspension system. International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, 2 (5). 758 - 764. ISSN 2010-376X

Full content URL: http://scholar.waset.org/1999.5/3321

Documents
Sensor-Optimisation-via-H-Applied-to-a-MAGLEV-Suspension-System.pdf
[img]
[Download]
[img]
Preview
PDF
Sensor-Optimisation-via-H-Applied-to-a-MAGLEV-Suspension-System.pdf - Whole Document

1MB
Item Type:Article
Item Status:Live Archive

Abstract

In this paper a systematic method via H∞ control design is proposed to select a sensor set that satisfies a number of input criteria for a MAGLEV suspension system. The proposed method recovers a number of optimised controllers for each possible sensor set that satisfies the performance and constraint criteria using evolutionary algorithms.

Keywords:H-infinity control, Robust control, sensor optimization, Genetic algorithms, MAGLEV system
Subjects:H Engineering > H660 Control Systems
H Engineering > H332 Rail Vehicle Engineering
Divisions:College of Science > School of Engineering
ID Code:24341
Deposited On:05 Oct 2016 13:19

Repository Staff Only: item control page