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Relative disturbance gain array
Disturbance rejection capabilities of different controller structures, for example, diagonal, block diagonal or full multivariable controller, are discussed. A generalized version of Relative Disturbance Gain, Generalized Relative Disturbance Gain (GRDG), is defined to evaluate the disturbance rejec...
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Published in: | AIChE journal 1992-04, Vol.38 (4), p.521-534 |
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container_title | AIChE journal |
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creator | Chang, Jin-Wen Yu, Cheng-Ching |
description | Disturbance rejection capabilities of different controller structures, for example, diagonal, block diagonal or full multivariable controller, are discussed. A generalized version of Relative Disturbance Gain, Generalized Relative Disturbance Gain (GRDG), is defined to evaluate the disturbance rejection capabilities of all possible controller structures. Furthermore, the relative disturbance gain array (RDGA) is introduced. Basic properties of RDGA are derived. An important one is: GRDG of all possible controller structures can be calculated directly from the array. Therefore, with RDGA, the synthesis of the controller structure can be done in a straightforward manner. Physical implications and quantitative analyses of GRDG are given. These form the basis for the synthesis. Finally, frequency‐dependent GRDG is developed which evaluates the performance further based on dynamic information. Several examples are used to illustrate the synthesis of the controller structure. The results show that better disturbance rejection can be achieved by selecting appropriate controller structure. |
doi_str_mv | 10.1002/aic.690380406 |
format | article |
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A generalized version of Relative Disturbance Gain, Generalized Relative Disturbance Gain (GRDG), is defined to evaluate the disturbance rejection capabilities of all possible controller structures. Furthermore, the relative disturbance gain array (RDGA) is introduced. Basic properties of RDGA are derived. An important one is: GRDG of all possible controller structures can be calculated directly from the array. Therefore, with RDGA, the synthesis of the controller structure can be done in a straightforward manner. Physical implications and quantitative analyses of GRDG are given. These form the basis for the synthesis. Finally, frequency‐dependent GRDG is developed which evaluates the performance further based on dynamic information. Several examples are used to illustrate the synthesis of the controller structure. The results show that better disturbance rejection can be achieved by selecting appropriate controller structure.</description><identifier>ISSN: 0001-1541</identifier><identifier>EISSN: 1547-5905</identifier><identifier>DOI: 10.1002/aic.690380406</identifier><identifier>CODEN: AICEAC</identifier><language>eng</language><publisher>New York: American Institute of Chemical Engineers</publisher><subject>Applied sciences ; Computer science; control theory; systems ; Control system synthesis ; Control theory. 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The results show that better disturbance rejection can be achieved by selecting appropriate controller structure.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Control system synthesis</subject><subject>Control theory. 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Systems</topic><topic>Exact sciences and technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chang, Jin-Wen</creatorcontrib><creatorcontrib>Yu, Cheng-Ching</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>AIChE journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chang, Jin-Wen</au><au>Yu, Cheng-Ching</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relative disturbance gain array</atitle><jtitle>AIChE journal</jtitle><addtitle>AIChE J</addtitle><date>1992-04</date><risdate>1992</risdate><volume>38</volume><issue>4</issue><spage>521</spage><epage>534</epage><pages>521-534</pages><issn>0001-1541</issn><eissn>1547-5905</eissn><coden>AICEAC</coden><abstract>Disturbance rejection capabilities of different controller structures, for example, diagonal, block diagonal or full multivariable controller, are discussed. A generalized version of Relative Disturbance Gain, Generalized Relative Disturbance Gain (GRDG), is defined to evaluate the disturbance rejection capabilities of all possible controller structures. Furthermore, the relative disturbance gain array (RDGA) is introduced. Basic properties of RDGA are derived. An important one is: GRDG of all possible controller structures can be calculated directly from the array. Therefore, with RDGA, the synthesis of the controller structure can be done in a straightforward manner. Physical implications and quantitative analyses of GRDG are given. These form the basis for the synthesis. Finally, frequency‐dependent GRDG is developed which evaluates the performance further based on dynamic information. Several examples are used to illustrate the synthesis of the controller structure. The results show that better disturbance rejection can be achieved by selecting appropriate controller structure.</abstract><cop>New York</cop><pub>American Institute of Chemical Engineers</pub><doi>10.1002/aic.690380406</doi><tpages>14</tpages></addata></record> |
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subjects | Applied sciences Computer science control theory systems Control system synthesis Control theory. Systems Exact sciences and technology |
title | Relative disturbance gain array |
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