Controller Design for Multivariable Linear Time-Invariant Unknown Systems
This paper deals with the design of multivariable controllers for stable linear time-invariant multi-input multi-output systems, with an unknown mathematical model, subject to constant reference/disturbance signals. We propose a new controller parameter optimization approach, which can be carried ou...
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| Veröffentlicht in: | IEEE transactions on automatic control 2013-09, Vol.58 (9), p.2292-2306 |
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| container_title | IEEE transactions on automatic control |
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| creator | Wang, William S. W. Davison, Daniel E. Davison, Edward J. |
| description | This paper deals with the design of multivariable controllers for stable linear time-invariant multi-input multi-output systems, with an unknown mathematical model, subject to constant reference/disturbance signals. We propose a new controller parameter optimization approach, which can be carried out experimentally without knowledge of the plant model or the order of the system. The approach has the advantages that controllers can be tuned by perturbing only the initial conditions of the servocompensator, and that the order of the resulting controller can be specified by the designer. Implementation of the proposed controller design approach is described, and an experimental application study of the proposed method applied to a multivariable system with industrial sensor/actuator components is presented to illustrate the feasibility of the design method in an industrial environment. |
| doi_str_mv | 10.1109/TAC.2013.2258812 |
| format | Article |
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W. ; Davison, Daniel E. ; Davison, Edward J.</creator><creatorcontrib>Wang, William S. W. ; Davison, Daniel E. ; Davison, Edward J.</creatorcontrib><description>This paper deals with the design of multivariable controllers for stable linear time-invariant multi-input multi-output systems, with an unknown mathematical model, subject to constant reference/disturbance signals. We propose a new controller parameter optimization approach, which can be carried out experimentally without knowledge of the plant model or the order of the system. The approach has the advantages that controllers can be tuned by perturbing only the initial conditions of the servocompensator, and that the order of the resulting controller can be specified by the designer. Implementation of the proposed controller design approach is described, and an experimental application study of the proposed method applied to a multivariable system with industrial sensor/actuator components is presented to illustrate the feasibility of the design method in an industrial environment.</description><identifier>ISSN: 0018-9286</identifier><identifier>EISSN: 1558-2523</identifier><identifier>DOI: 10.1109/TAC.2013.2258812</identifier><identifier>CODEN: IETAA9</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Actuators ; Closed loop systems ; Large-scale systems ; multivariable control ; optimal control ; Optimization ; parameter optimization ; Performance analysis ; Process control ; proportional-integral-derivative (PID) control ; robust servomechanism problem ; servocompensator ; Steady-state ; Tuning ; tuning controllers</subject><ispartof>IEEE transactions on automatic control, 2013-09, Vol.58 (9), p.2292-2306</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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W.</creatorcontrib><creatorcontrib>Davison, Daniel E.</creatorcontrib><creatorcontrib>Davison, Edward J.</creatorcontrib><title>Controller Design for Multivariable Linear Time-Invariant Unknown Systems</title><title>IEEE transactions on automatic control</title><addtitle>TAC</addtitle><description>This paper deals with the design of multivariable controllers for stable linear time-invariant multi-input multi-output systems, with an unknown mathematical model, subject to constant reference/disturbance signals. We propose a new controller parameter optimization approach, which can be carried out experimentally without knowledge of the plant model or the order of the system. The approach has the advantages that controllers can be tuned by perturbing only the initial conditions of the servocompensator, and that the order of the resulting controller can be specified by the designer. Implementation of the proposed controller design approach is described, and an experimental application study of the proposed method applied to a multivariable system with industrial sensor/actuator components is presented to illustrate the feasibility of the design method in an industrial environment.</description><subject>Actuators</subject><subject>Closed loop systems</subject><subject>Large-scale systems</subject><subject>multivariable control</subject><subject>optimal control</subject><subject>Optimization</subject><subject>parameter optimization</subject><subject>Performance analysis</subject><subject>Process control</subject><subject>proportional-integral-derivative (PID) control</subject><subject>robust servomechanism problem</subject><subject>servocompensator</subject><subject>Steady-state</subject><subject>Tuning</subject><subject>tuning controllers</subject><issn>0018-9286</issn><issn>1558-2523</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kM1LAzEQxYMoWKt3wcuC562ZJJsmx7J-FSoebM8huzuRrdtsTbZK_3ujLTKHYYb33gw_Qq6BTgCovlvOygmjwCeMFUoBOyEjKAqVs4LxUzKiFFSumZLn5CLGdRqlEDAi87L3Q-i7DkN2j7F995nrQ_ay64b2y4bWVh1mi9ajDdmy3WA-939rP2Qr_-H7b5-97eOAm3hJzpztIl4d-5isHh-W5XO-eH2al7NFXjMNQ85tJSrQttHOQgO1ZIxq51yl6pq7KW-QFk6lT1EraYGnclIL4LVsAGrkY3J7yN2G_nOHcTDrfhd8OmlAMFlQJiQkFT2o6tDHGNCZbWg3NuwNUPMLzCRg5heYOQJLlpuDpUXEf3kKFFMm-A9ngWa8</recordid><startdate>20130901</startdate><enddate>20130901</enddate><creator>Wang, William S. W.</creator><creator>Davison, Daniel E.</creator><creator>Davison, Edward J.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20130901</creationdate><title>Controller Design for Multivariable Linear Time-Invariant Unknown Systems</title><author>Wang, William S. 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W.</creatorcontrib><creatorcontrib>Davison, Daniel E.</creatorcontrib><creatorcontrib>Davison, Edward J.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on automatic control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wang, William S. W.</au><au>Davison, Daniel E.</au><au>Davison, Edward J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Controller Design for Multivariable Linear Time-Invariant Unknown Systems</atitle><jtitle>IEEE transactions on automatic control</jtitle><stitle>TAC</stitle><date>2013-09-01</date><risdate>2013</risdate><volume>58</volume><issue>9</issue><spage>2292</spage><epage>2306</epage><pages>2292-2306</pages><issn>0018-9286</issn><eissn>1558-2523</eissn><coden>IETAA9</coden><abstract>This paper deals with the design of multivariable controllers for stable linear time-invariant multi-input multi-output systems, with an unknown mathematical model, subject to constant reference/disturbance signals. We propose a new controller parameter optimization approach, which can be carried out experimentally without knowledge of the plant model or the order of the system. The approach has the advantages that controllers can be tuned by perturbing only the initial conditions of the servocompensator, and that the order of the resulting controller can be specified by the designer. Implementation of the proposed controller design approach is described, and an experimental application study of the proposed method applied to a multivariable system with industrial sensor/actuator components is presented to illustrate the feasibility of the design method in an industrial environment.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TAC.2013.2258812</doi><tpages>15</tpages></addata></record> |
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| identifier | ISSN: 0018-9286 |
| ispartof | IEEE transactions on automatic control, 2013-09, Vol.58 (9), p.2292-2306 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Actuators Closed loop systems Large-scale systems multivariable control optimal control Optimization parameter optimization Performance analysis Process control proportional-integral-derivative (PID) control robust servomechanism problem servocompensator Steady-state Tuning tuning controllers |
| title | Controller Design for Multivariable Linear Time-Invariant Unknown Systems |
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