Modeling and compensation control of asymmetric hysteresis in a pneumatic artificial muscle
Pneumatic artificial muscle is a novel compliance actuator, and it has many excellent actuator characteristics, such as high power density, safety, and compliance. However, it also has strong nonlinear and asymmetric hysteresis, which makes the accurate trajectory control for a pneumatic artificial...
Gespeichert in:
Veröffentlicht in: | Journal of intelligent material systems and structures 2017-11, Vol.28 (19), p.2769-2780 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2780 |
---|---|
container_issue | 19 |
container_start_page | 2769 |
container_title | Journal of intelligent material systems and structures |
container_volume | 28 |
creator | Hao, Lina Yang, Hui Sun, Zhiyong Xiang, Chaoqun Xue, Bangcan |
description | Pneumatic artificial muscle is a novel compliance actuator, and it has many excellent actuator characteristics, such as high power density, safety, and compliance. However, it also has strong nonlinear and asymmetric hysteresis, which makes the accurate trajectory control for a pneumatic artificial muscle very difficult. In this article, the pressure/length hysteresis of a pneumatic artificial muscle was analyzed via an isotonic test. And then, it was described using extended unparallel Prandtl–Ishlinskii model, and the model parameters were identified by an adaptive weight particle swarm optimization with a mutation portion algorithm. For the comparison, the classical Prandtl–Ishlinskii was also considered, and its parameters were identified by least square method. Based on the hysteresis model built by extended unparallel Prandtl–Ishlinskii model, an integral inverse compensator was proposed, and then a proportional–integral–derivative controller with the integral inverse compensator (integral inverse-proportional–integral–derivative) was designed. The simulations and experiments validated that the integral inverse-proportional–integral–derivative controller has good dynamic performance. Compared with conventional proportional–integral–derivative controller without a hysteresis compensator, the control precision of integral inverse-proportional–integral–derivative controller is improved by 43.86%. |
doi_str_mv | 10.1177/1045389X17698588 |
format | Article |
fullrecord | <record><control><sourceid>sage_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1177_1045389X17698588</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_1045389X17698588</sage_id><sourcerecordid>10.1177_1045389X17698588</sourcerecordid><originalsourceid>FETCH-LOGICAL-c281t-acb431eaf5a62ac69186e77e5da94456c527cdb1bb14e21b35d2e65417a93fc43</originalsourceid><addsrcrecordid>eNp1kE9LxDAQxYMouK7ePeYLVDNN0qRHWfwHK14UBA9lmk7XLG2yJN3Dfnsr60nwNG9483sMj7FrEDcAxtyCUFra-gNMVVtt7QlbgJaisCDt6axnu_jxz9lFzlshwGohF-zzJXY0-LDhGDru4rijkHHyMcxLmFIceOw55sM40pS841-HPFGi7DP3gSPfBdqPM-A4psn33nkc-LjPbqBLdtbjkOnqdy7Z-8P92-qpWL8-Pq_u1oUrLUwFulZJIOw1ViW6qgZbkTGkO6yV0pXTpXFdC20Likpope5KqrQCg7XsnZJLJo65LsWcE_XNLvkR06EB0fyU0_wtZ0aKI5JxQ8027lOYP_z__ht9Z2bH</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Modeling and compensation control of asymmetric hysteresis in a pneumatic artificial muscle</title><source>SAGE Complete A-Z List</source><creator>Hao, Lina ; Yang, Hui ; Sun, Zhiyong ; Xiang, Chaoqun ; Xue, Bangcan</creator><creatorcontrib>Hao, Lina ; Yang, Hui ; Sun, Zhiyong ; Xiang, Chaoqun ; Xue, Bangcan</creatorcontrib><description>Pneumatic artificial muscle is a novel compliance actuator, and it has many excellent actuator characteristics, such as high power density, safety, and compliance. However, it also has strong nonlinear and asymmetric hysteresis, which makes the accurate trajectory control for a pneumatic artificial muscle very difficult. In this article, the pressure/length hysteresis of a pneumatic artificial muscle was analyzed via an isotonic test. And then, it was described using extended unparallel Prandtl–Ishlinskii model, and the model parameters were identified by an adaptive weight particle swarm optimization with a mutation portion algorithm. For the comparison, the classical Prandtl–Ishlinskii was also considered, and its parameters were identified by least square method. Based on the hysteresis model built by extended unparallel Prandtl–Ishlinskii model, an integral inverse compensator was proposed, and then a proportional–integral–derivative controller with the integral inverse compensator (integral inverse-proportional–integral–derivative) was designed. The simulations and experiments validated that the integral inverse-proportional–integral–derivative controller has good dynamic performance. Compared with conventional proportional–integral–derivative controller without a hysteresis compensator, the control precision of integral inverse-proportional–integral–derivative controller is improved by 43.86%.</description><identifier>ISSN: 1045-389X</identifier><identifier>EISSN: 1530-8138</identifier><identifier>DOI: 10.1177/1045389X17698588</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><ispartof>Journal of intelligent material systems and structures, 2017-11, Vol.28 (19), p.2769-2780</ispartof><rights>The Author(s) 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c281t-acb431eaf5a62ac69186e77e5da94456c527cdb1bb14e21b35d2e65417a93fc43</citedby><cites>FETCH-LOGICAL-c281t-acb431eaf5a62ac69186e77e5da94456c527cdb1bb14e21b35d2e65417a93fc43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/1045389X17698588$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/1045389X17698588$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,21799,27903,27904,43600,43601</link.rule.ids></links><search><creatorcontrib>Hao, Lina</creatorcontrib><creatorcontrib>Yang, Hui</creatorcontrib><creatorcontrib>Sun, Zhiyong</creatorcontrib><creatorcontrib>Xiang, Chaoqun</creatorcontrib><creatorcontrib>Xue, Bangcan</creatorcontrib><title>Modeling and compensation control of asymmetric hysteresis in a pneumatic artificial muscle</title><title>Journal of intelligent material systems and structures</title><description>Pneumatic artificial muscle is a novel compliance actuator, and it has many excellent actuator characteristics, such as high power density, safety, and compliance. However, it also has strong nonlinear and asymmetric hysteresis, which makes the accurate trajectory control for a pneumatic artificial muscle very difficult. In this article, the pressure/length hysteresis of a pneumatic artificial muscle was analyzed via an isotonic test. And then, it was described using extended unparallel Prandtl–Ishlinskii model, and the model parameters were identified by an adaptive weight particle swarm optimization with a mutation portion algorithm. For the comparison, the classical Prandtl–Ishlinskii was also considered, and its parameters were identified by least square method. Based on the hysteresis model built by extended unparallel Prandtl–Ishlinskii model, an integral inverse compensator was proposed, and then a proportional–integral–derivative controller with the integral inverse compensator (integral inverse-proportional–integral–derivative) was designed. The simulations and experiments validated that the integral inverse-proportional–integral–derivative controller has good dynamic performance. Compared with conventional proportional–integral–derivative controller without a hysteresis compensator, the control precision of integral inverse-proportional–integral–derivative controller is improved by 43.86%.</description><issn>1045-389X</issn><issn>1530-8138</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kE9LxDAQxYMouK7ePeYLVDNN0qRHWfwHK14UBA9lmk7XLG2yJN3Dfnsr60nwNG9483sMj7FrEDcAxtyCUFra-gNMVVtt7QlbgJaisCDt6axnu_jxz9lFzlshwGohF-zzJXY0-LDhGDru4rijkHHyMcxLmFIceOw55sM40pS841-HPFGi7DP3gSPfBdqPM-A4psn33nkc-LjPbqBLdtbjkOnqdy7Z-8P92-qpWL8-Pq_u1oUrLUwFulZJIOw1ViW6qgZbkTGkO6yV0pXTpXFdC20Likpope5KqrQCg7XsnZJLJo65LsWcE_XNLvkR06EB0fyU0_wtZ0aKI5JxQ8027lOYP_z__ht9Z2bH</recordid><startdate>201711</startdate><enddate>201711</enddate><creator>Hao, Lina</creator><creator>Yang, Hui</creator><creator>Sun, Zhiyong</creator><creator>Xiang, Chaoqun</creator><creator>Xue, Bangcan</creator><general>SAGE Publications</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201711</creationdate><title>Modeling and compensation control of asymmetric hysteresis in a pneumatic artificial muscle</title><author>Hao, Lina ; Yang, Hui ; Sun, Zhiyong ; Xiang, Chaoqun ; Xue, Bangcan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c281t-acb431eaf5a62ac69186e77e5da94456c527cdb1bb14e21b35d2e65417a93fc43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hao, Lina</creatorcontrib><creatorcontrib>Yang, Hui</creatorcontrib><creatorcontrib>Sun, Zhiyong</creatorcontrib><creatorcontrib>Xiang, Chaoqun</creatorcontrib><creatorcontrib>Xue, Bangcan</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of intelligent material systems and structures</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hao, Lina</au><au>Yang, Hui</au><au>Sun, Zhiyong</au><au>Xiang, Chaoqun</au><au>Xue, Bangcan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling and compensation control of asymmetric hysteresis in a pneumatic artificial muscle</atitle><jtitle>Journal of intelligent material systems and structures</jtitle><date>2017-11</date><risdate>2017</risdate><volume>28</volume><issue>19</issue><spage>2769</spage><epage>2780</epage><pages>2769-2780</pages><issn>1045-389X</issn><eissn>1530-8138</eissn><abstract>Pneumatic artificial muscle is a novel compliance actuator, and it has many excellent actuator characteristics, such as high power density, safety, and compliance. However, it also has strong nonlinear and asymmetric hysteresis, which makes the accurate trajectory control for a pneumatic artificial muscle very difficult. In this article, the pressure/length hysteresis of a pneumatic artificial muscle was analyzed via an isotonic test. And then, it was described using extended unparallel Prandtl–Ishlinskii model, and the model parameters were identified by an adaptive weight particle swarm optimization with a mutation portion algorithm. For the comparison, the classical Prandtl–Ishlinskii was also considered, and its parameters were identified by least square method. Based on the hysteresis model built by extended unparallel Prandtl–Ishlinskii model, an integral inverse compensator was proposed, and then a proportional–integral–derivative controller with the integral inverse compensator (integral inverse-proportional–integral–derivative) was designed. The simulations and experiments validated that the integral inverse-proportional–integral–derivative controller has good dynamic performance. Compared with conventional proportional–integral–derivative controller without a hysteresis compensator, the control precision of integral inverse-proportional–integral–derivative controller is improved by 43.86%.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1177/1045389X17698588</doi><tpages>12</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1045-389X |
ispartof | Journal of intelligent material systems and structures, 2017-11, Vol.28 (19), p.2769-2780 |
issn | 1045-389X 1530-8138 |
language | eng |
recordid | cdi_crossref_primary_10_1177_1045389X17698588 |
source | SAGE Complete A-Z List |
title | Modeling and compensation control of asymmetric hysteresis in a pneumatic artificial muscle |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T04%3A45%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-sage_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Modeling%20and%20compensation%20control%20of%20asymmetric%20hysteresis%20in%20a%20pneumatic%20artificial%20muscle&rft.jtitle=Journal%20of%20intelligent%20material%20systems%20and%20structures&rft.au=Hao,%20Lina&rft.date=2017-11&rft.volume=28&rft.issue=19&rft.spage=2769&rft.epage=2780&rft.pages=2769-2780&rft.issn=1045-389X&rft.eissn=1530-8138&rft_id=info:doi/10.1177/1045389X17698588&rft_dat=%3Csage_cross%3E10.1177_1045389X17698588%3C/sage_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_sage_id=10.1177_1045389X17698588&rfr_iscdi=true |