Linear Quadratic Gaussian Control of a Quarter-Car Suspension
This paper presents a method for designing linear multivariable controllers in the frequency-domain for an intelligent controlled suspension system for a quarter-car model. The design methodology uses singular value inequalities and optimal control theory. The vehicle system is augmented with additi...
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| Veröffentlicht in: | Vehicle system dynamics 1999-12, Vol.32 (6), p.479-497 |
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| container_title | Vehicle system dynamics |
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| creator | ElMadany, Mohamed M. Abduljabbar, Zuhair S. |
| description | This paper presents a method for designing linear multivariable controllers in the frequency-domain for an intelligent controlled suspension system for a quarter-car model. The design methodology uses singular value inequalities and optimal control theory. The vehicle system is augmented with additional dynamics in the form of an integrator to affect the loop shapes of the system. The measurements are assumed to be obtained in a noisy state, and the optimal control gain and the Kalman filter gain are derived using system dynamics and noise statistics. A combination of singular value analysis, eigenvalue analysis, time response, and power spectral densities of random response is used to describe the performance of the active suspension systems. |
| doi_str_mv | 10.1076/vesd.32.6.479.4224 |
| format | Article |
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The design methodology uses singular value inequalities and optimal control theory. The vehicle system is augmented with additional dynamics in the form of an integrator to affect the loop shapes of the system. The measurements are assumed to be obtained in a noisy state, and the optimal control gain and the Kalman filter gain are derived using system dynamics and noise statistics. A combination of singular value analysis, eigenvalue analysis, time response, and power spectral densities of random response is used to describe the performance of the active suspension systems.</description><identifier>ISSN: 0042-3114</identifier><identifier>EISSN: 1744-5159</identifier><identifier>DOI: 10.1076/vesd.32.6.479.4224</identifier><language>eng</language><publisher>Colchester: Taylor & Francis Group</publisher><subject>Applied sciences ; Computer science; control theory; systems ; Control system analysis ; Control system synthesis ; Control theory. 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The design methodology uses singular value inequalities and optimal control theory. The vehicle system is augmented with additional dynamics in the form of an integrator to affect the loop shapes of the system. The measurements are assumed to be obtained in a noisy state, and the optimal control gain and the Kalman filter gain are derived using system dynamics and noise statistics. A combination of singular value analysis, eigenvalue analysis, time response, and power spectral densities of random response is used to describe the performance of the active suspension systems.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Control system analysis</subject><subject>Control system synthesis</subject><subject>Control theory. Systems</subject><subject>Exact sciences and technology</subject><subject>Frequency domain analysis</subject><subject>Intelligent control</subject><subject>Kalman filtering</subject><subject>Linear control systems</subject><subject>Machine components</subject><subject>Mechanical engineering. Machine design</subject><subject>Multivariable control systems</subject><subject>Optimal control systems</subject><subject>Springs and dampers</subject><subject>Statistical methods</subject><issn>0042-3114</issn><issn>1744-5159</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxDAQhoMouK7-AU89CJ5a89WkOexBiq7Cgoh6DpNsApFusyat4r-3y6548zSHed53hgehS4IrgqW4-XR5XTFaiYpLVXFK-RGaEcl5WZNaHaMZxpyWjBB-is5yfscYM9zIGVqsQu8gFc8jrBMMwRZLGHMO0Bdt7IcUuyL6Anb7NLhUthP7Muat63OI_Tk68dBld3GYc_R2f_faPpSrp-Vje7sqLRN4KBtJrGDSU0yZlY7XHJRRNcNglHI1b4QB2YCxWCnvSS2M9UzympmGKmYMm6Prfe82xY_R5UFvQrau66B3ccxackGEUA2dSLonbYo5J-f1NoUNpG9NsN6p0jtVmlEt9KRK71RNoatDPWQLnU_Q25D_kmz6uxETtthjofcxbeArpm6tB_juYvrNsH_O_AB0vH3X</recordid><startdate>19991201</startdate><enddate>19991201</enddate><creator>ElMadany, Mohamed M.</creator><creator>Abduljabbar, Zuhair S.</creator><general>Taylor & Francis Group</general><general>Taylor & Francis</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TC</scope></search><sort><creationdate>19991201</creationdate><title>Linear Quadratic Gaussian Control of a Quarter-Car Suspension</title><author>ElMadany, Mohamed M. ; Abduljabbar, Zuhair S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-871c637f2023c7e454a9b9530ab99e5486ba78abc099ff156bcf37453b8293bb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Control system analysis</topic><topic>Control system synthesis</topic><topic>Control theory. Systems</topic><topic>Exact sciences and technology</topic><topic>Frequency domain analysis</topic><topic>Intelligent control</topic><topic>Kalman filtering</topic><topic>Linear control systems</topic><topic>Machine components</topic><topic>Mechanical engineering. Machine design</topic><topic>Multivariable control systems</topic><topic>Optimal control systems</topic><topic>Springs and dampers</topic><topic>Statistical methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>ElMadany, Mohamed M.</creatorcontrib><creatorcontrib>Abduljabbar, Zuhair S.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Mechanical Engineering Abstracts</collection><jtitle>Vehicle system dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>ElMadany, Mohamed M.</au><au>Abduljabbar, Zuhair S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Linear Quadratic Gaussian Control of a Quarter-Car Suspension</atitle><jtitle>Vehicle system dynamics</jtitle><date>1999-12-01</date><risdate>1999</risdate><volume>32</volume><issue>6</issue><spage>479</spage><epage>497</epage><pages>479-497</pages><issn>0042-3114</issn><eissn>1744-5159</eissn><abstract>This paper presents a method for designing linear multivariable controllers in the frequency-domain for an intelligent controlled suspension system for a quarter-car model. 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| ispartof | Vehicle system dynamics, 1999-12, Vol.32 (6), p.479-497 |
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| language | eng |
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| source | Taylor & Francis |
| subjects | Applied sciences Computer science control theory systems Control system analysis Control system synthesis Control theory. Systems Exact sciences and technology Frequency domain analysis Intelligent control Kalman filtering Linear control systems Machine components Mechanical engineering. Machine design Multivariable control systems Optimal control systems Springs and dampers Statistical methods |
| title | Linear Quadratic Gaussian Control of a Quarter-Car Suspension |
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