Micro-positioning of linear-piezoelectric motors based on a learning nonlinear PID controller
In this paper, a learning nonlinear proportional integral derivative (PID) controller is developed for vaguely modeled nonlinear systems under the influence of significant disturbance and noise. The control scheme is generic in nature, but it is applied specifically to the micropositioning of linear...
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| Veröffentlicht in: | IEEE/ASME transactions on mechatronics 2001-12, Vol.6 (4), p.428-436 |
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| container_title | IEEE/ASME transactions on mechatronics |
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| creator | Tan, K.K. Tong Heng Lee Zhou, H.X. |
| description | In this paper, a learning nonlinear proportional integral derivative (PID) controller is developed for vaguely modeled nonlinear systems under the influence of significant disturbance and noise. The control scheme is generic in nature, but it is applied specifically to the micropositioning of linear-piezoelectric motors in this paper. The design of the control scheme does not require a full mathematical model of the nonlinear system. Simulation and experimental results are provided to highlight the good motion control performance achieved from the control scheme. |
| doi_str_mv | 10.1109/3516.974856 |
| format | Article |
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The control scheme is generic in nature, but it is applied specifically to the micropositioning of linear-piezoelectric motors in this paper. The design of the control scheme does not require a full mathematical model of the nonlinear system. Simulation and experimental results are provided to highlight the good motion control performance achieved from the control scheme.</description><identifier>ISSN: 1083-4435</identifier><identifier>EISSN: 1941-014X</identifier><identifier>DOI: 10.1109/3516.974856</identifier><identifier>CODEN: IATEFW</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Actuators ; Applied sciences ; Computer science; control theory; systems ; Computer simulation ; Control system synthesis ; Control systems ; Control theory. Systems ; Dynamical systems ; Exact sciences and technology ; Friction ; Hysteresis motors ; Learning ; Learning systems ; Mathematical models ; Mechanical engineering. Machine design ; Micromotors ; Motion control ; Motors ; Nonlinear control systems ; Nonlinear dynamics ; Nonlinearity ; PD control ; Pi control ; Piezoelectric actuators ; Precision engineering, watch making ; Proportional integral derivative ; Servomechanisms ; Three term control systems ; Three-term control</subject><ispartof>IEEE/ASME transactions on mechatronics, 2001-12, Vol.6 (4), p.428-436</ispartof><rights>2002 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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The control scheme is generic in nature, but it is applied specifically to the micropositioning of linear-piezoelectric motors in this paper. The design of the control scheme does not require a full mathematical model of the nonlinear system. Simulation and experimental results are provided to highlight the good motion control performance achieved from the control scheme.</description><subject>Actuators</subject><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Computer simulation</subject><subject>Control system synthesis</subject><subject>Control systems</subject><subject>Control theory. Systems</subject><subject>Dynamical systems</subject><subject>Exact sciences and technology</subject><subject>Friction</subject><subject>Hysteresis motors</subject><subject>Learning</subject><subject>Learning systems</subject><subject>Mathematical models</subject><subject>Mechanical engineering. Machine design</subject><subject>Micromotors</subject><subject>Motion control</subject><subject>Motors</subject><subject>Nonlinear control systems</subject><subject>Nonlinear dynamics</subject><subject>Nonlinearity</subject><subject>PD control</subject><subject>Pi control</subject><subject>Piezoelectric actuators</subject><subject>Precision engineering, watch making</subject><subject>Proportional integral derivative</subject><subject>Servomechanisms</subject><subject>Three term control systems</subject><subject>Three-term control</subject><issn>1083-4435</issn><issn>1941-014X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqF0c9rFDEUB_BBLFhbT948hYLtQWZ9mfw-llq1sKUeFLzIkM28KSnZZE1mD-1fb9ZZFHpoTwnk876E922atxQWlIL5yASVC6O4FvJFc0gNpy1Q_vNlvYNmLedMvGpel3IHAJwCPWx-XXuXU7tJxU8-RR9vSRpJ8BFtbjceHxIGdFP2jqzTlHIhK1twICkSS0JFf0diivMI-Xb1ibgUp5xCwHzcHIw2FHyzP4-aH58vv198bZc3X64uzpet4wqmliE3g-kEGx13g8HBwKBGVM4xNgjg0hpcqU7YTo9OSKQrpaijDJREq5RhR83ZnLvJ6fcWy9SvfXEYgo2YtqU3lEtJQahnpeKSSsO6rsrTJ2WnmehA6OehVEZ3epd48gjepW2OdTG91lwZqD-s6MOMai2lZBz7TfZrm-97Cv2u5H5Xcj-XXPX7faQtzoYx2-h8-T_COAPQvLp3s_OI-O95H_IHFVmt5A</recordid><startdate>20011201</startdate><enddate>20011201</enddate><creator>Tan, K.K.</creator><creator>Tong Heng Lee</creator><creator>Zhou, H.X.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Machine design</topic><topic>Micromotors</topic><topic>Motion control</topic><topic>Motors</topic><topic>Nonlinear control systems</topic><topic>Nonlinear dynamics</topic><topic>Nonlinearity</topic><topic>PD control</topic><topic>Pi control</topic><topic>Piezoelectric actuators</topic><topic>Precision engineering, watch making</topic><topic>Proportional integral derivative</topic><topic>Servomechanisms</topic><topic>Three term control systems</topic><topic>Three-term control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tan, K.K.</creatorcontrib><creatorcontrib>Tong Heng Lee</creatorcontrib><creatorcontrib>Zhou, H.X.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</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><collection>Aerospace Database</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Mechanical Engineering Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE/ASME transactions on mechatronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tan, K.K.</au><au>Tong Heng Lee</au><au>Zhou, H.X.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Micro-positioning of linear-piezoelectric motors based on a learning nonlinear PID controller</atitle><jtitle>IEEE/ASME transactions on mechatronics</jtitle><stitle>TMECH</stitle><date>2001-12-01</date><risdate>2001</risdate><volume>6</volume><issue>4</issue><spage>428</spage><epage>436</epage><pages>428-436</pages><issn>1083-4435</issn><eissn>1941-014X</eissn><coden>IATEFW</coden><abstract>In this paper, a learning nonlinear proportional integral derivative (PID) controller is developed for vaguely modeled nonlinear systems under the influence of significant disturbance and noise. 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| identifier | ISSN: 1083-4435 |
| ispartof | IEEE/ASME transactions on mechatronics, 2001-12, Vol.6 (4), p.428-436 |
| issn | 1083-4435 1941-014X |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Actuators Applied sciences Computer science control theory systems Computer simulation Control system synthesis Control systems Control theory. Systems Dynamical systems Exact sciences and technology Friction Hysteresis motors Learning Learning systems Mathematical models Mechanical engineering. Machine design Micromotors Motion control Motors Nonlinear control systems Nonlinear dynamics Nonlinearity PD control Pi control Piezoelectric actuators Precision engineering, watch making Proportional integral derivative Servomechanisms Three term control systems Three-term control |
| title | Micro-positioning of linear-piezoelectric motors based on a learning nonlinear PID controller |
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