The Design of LQG Controller for Active Suspension Based on Analytic Hierarchy Process
A full vehicle model with seven degrees of freedom based on active suspension control is established, and linear quadratic gaussian (LQG) is designed by applying optimal control theory. Especially, the methodology of Analytic Hierarchy Process (AHP) is used to make the selection of weighted coeffici...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2010-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2010/701951 |
id |
doaj-cff90e65160247ebb85965332f41ab1d |
---|---|
record_format |
Article |
spelling |
doaj-cff90e65160247ebb85965332f41ab1d2020-11-25T01:12:55ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472010-01-01201010.1155/2010/701951701951The Design of LQG Controller for Active Suspension Based on Analytic Hierarchy ProcessLingjiang Chai0Tao Sun1Institute of Automotive Engineering, College of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaInstitute of Automotive Engineering, College of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaA full vehicle model with seven degrees of freedom based on active suspension control is established, and linear quadratic gaussian (LQG) is designed by applying optimal control theory. Especially, the methodology of Analytic Hierarchy Process (AHP) is used to make the selection of weighted coefficients of performance indexes, which can reduce ineffective job in contrast with experience method. From the simulation results, it is shown that ride quality of the vehicle with active suspension has been effectively improved in comparison with the vehicle of passive suspension by the methodology of AHP applying to the selection of the weights.http://dx.doi.org/10.1155/2010/701951 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lingjiang Chai Tao Sun |
spellingShingle |
Lingjiang Chai Tao Sun The Design of LQG Controller for Active Suspension Based on Analytic Hierarchy Process Mathematical Problems in Engineering |
author_facet |
Lingjiang Chai Tao Sun |
author_sort |
Lingjiang Chai |
title |
The Design of LQG Controller for Active Suspension Based on Analytic Hierarchy Process |
title_short |
The Design of LQG Controller for Active Suspension Based on Analytic Hierarchy Process |
title_full |
The Design of LQG Controller for Active Suspension Based on Analytic Hierarchy Process |
title_fullStr |
The Design of LQG Controller for Active Suspension Based on Analytic Hierarchy Process |
title_full_unstemmed |
The Design of LQG Controller for Active Suspension Based on Analytic Hierarchy Process |
title_sort |
design of lqg controller for active suspension based on analytic hierarchy process |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2010-01-01 |
description |
A full vehicle model with seven degrees of freedom based on active suspension control is established, and linear quadratic gaussian (LQG) is designed by applying optimal control theory. Especially, the methodology of Analytic Hierarchy Process (AHP) is used to make the selection of weighted coefficients of performance indexes, which can reduce ineffective job in contrast with experience method. From the simulation results, it is shown that ride quality of the vehicle with active suspension has been effectively improved in comparison with the vehicle of passive suspension by the methodology of AHP applying to the selection of the weights. |
url |
http://dx.doi.org/10.1155/2010/701951 |
work_keys_str_mv |
AT lingjiangchai thedesignoflqgcontrollerforactivesuspensionbasedonanalytichierarchyprocess AT taosun thedesignoflqgcontrollerforactivesuspensionbasedonanalytichierarchyprocess AT lingjiangchai designoflqgcontrollerforactivesuspensionbasedonanalytichierarchyprocess AT taosun designoflqgcontrollerforactivesuspensionbasedonanalytichierarchyprocess |
_version_ |
1725164441102712832 |