Please use this identifier to cite or link to this item:
Title: Multivariable identification and controller validation of a flight control system
Authors: Fung, EHK
Wong, YK 
Yau, DTW
Keywords: Control systems
Control equipment
Issue Date: 2005
Source: Proceedings of the ASME 2005 International Mechanical Engineering Congress and Exposition, Dynamic Systems and Control, Parts A and B, Orlando, Florida, USA, November 5 - 11, 2005, paper no. IMECE2005-80182, p. 1097-1103 How to cite?
Abstract: This paper investigates the multivariable identification and controller validation for the longitudinal channel of a Boeing 747 transport. The transfer function matrix of the system are identified using the prediction error (PE) identification method with multivariable ARX model. An ellipsoidal parametric uncertainty set is constructed from the covariance matrix of the identified parameters. It contains the parameters of actual system at a certain probability level. The identified models and the associated uncertainty sets are validated by measuring the worst case v -gap. A PID controller is chosen for the pitch angle control and a H∞ controller is designed for the speed control. Their stability are validated by measuring the stability radius. The performance is further validated by computing the worst case performance criterion function which is obtained by solving a standard convex optimization problem involving linear matrix inequalities (LMI) constraints.
ISBN: 0-7918-4216-9
0-7918-3769-6 (E-ISBN)
DOI: 10.1115/IMECE2005-80182
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Jun 18, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.