Loading…

Model-free adaptive predictive control for non-circular cutting derived CNC system

Model-free adaptive predictive control method based on non-circular cutting derived CNC system is proposed in this paper, the MATLAB simulation of the permanent magnet synchronous linear motor tool feed driving system verify the model-free adaptive predictive control algorithm to improve the control...

Full description

Saved in:
Bibliographic Details
Main Authors: Junwei, Dai, Rongmin, Cao, Zhongsheng, Hou, Yunjie, Zhao
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 5777
container_issue
container_start_page 5772
container_title
container_volume
creator Junwei, Dai
Rongmin, Cao
Zhongsheng, Hou
Yunjie, Zhao
description Model-free adaptive predictive control method based on non-circular cutting derived CNC system is proposed in this paper, the MATLAB simulation of the permanent magnet synchronous linear motor tool feed driving system verify the model-free adaptive predictive control algorithm to improve the control performance of the system, but also get the higher position tracking accuracy than the PID control algorithm. Accordingly, the disadvantage that complex adjustment, low processing efficiency and processing accuracy in the process of system can be overcome to some extent, when the data-driven control method is applied to the non-circular cross-section parts processing.
doi_str_mv 10.1109/CCDC.2016.7532031
format conference_proceeding
fullrecord <record><control><sourceid>proquest_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_7532031</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7532031</ieee_id><sourcerecordid>1835555887</sourcerecordid><originalsourceid>FETCH-LOGICAL-i208t-d038ee1deac8a2b1c410e86e77703232c643768918be834f6cab562bcf5695053</originalsourceid><addsrcrecordid>eNotkEtLxDAYRaMgOI7zA8RNlm465tUkXUp8wqggui5p8lUinaYmqeC_d3Dmbs5dHO7iInRByZpS0lwbc2vWjFC5VjVnhNMjtGqUpkIq3ijK6TFa0EboqhFCnaKznL8IkZITskBvz9HDUPUJAFtvpxJ-AE8JfHD_1cWxpDjgPiY8xrFyIbl5sAm7uZQwfmIPaed5bF4Mzr-5wPYcnfR2yLA6cIk-7u_ezWO1eX14MjebKjCiS-UJ1wDUg3Xaso46QQloCUopwhlnTgqupG6o7kBz0Utnu1qyzvW1bGpS8yW62u9OKX7PkEu7DdnBMNgR4pxbqnm9i9Zqp17u1QAA7ZTC1qbf9vAW_wP3xF2Y</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>1835555887</pqid></control><display><type>conference_proceeding</type><title>Model-free adaptive predictive control for non-circular cutting derived CNC system</title><source>IEEE Xplore All Conference Series</source><creator>Junwei, Dai ; Rongmin, Cao ; Zhongsheng, Hou ; Yunjie, Zhao</creator><creatorcontrib>Junwei, Dai ; Rongmin, Cao ; Zhongsheng, Hou ; Yunjie, Zhao</creatorcontrib><description>Model-free adaptive predictive control method based on non-circular cutting derived CNC system is proposed in this paper, the MATLAB simulation of the permanent magnet synchronous linear motor tool feed driving system verify the model-free adaptive predictive control algorithm to improve the control performance of the system, but also get the higher position tracking accuracy than the PID control algorithm. Accordingly, the disadvantage that complex adjustment, low processing efficiency and processing accuracy in the process of system can be overcome to some extent, when the data-driven control method is applied to the non-circular cross-section parts processing.</description><identifier>EISSN: 1948-9447</identifier><identifier>EISBN: 9781467397131</identifier><identifier>EISBN: 146739713X</identifier><identifier>EISBN: 1467397148</identifier><identifier>EISBN: 9781467397148</identifier><identifier>DOI: 10.1109/CCDC.2016.7532031</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; Adaptation models ; Adaptive algorithms ; Adaptive control systems ; Computer numerical control ; Control systems ; Data models ; Data-driven ; Mathematical model ; Mathematical models ; Matlab ; Model-free adaptive predictive control ; Non-circular cutting ; Permanent magnet synchronous linear motor ; Predictive control ; Predictive models ; Tracking</subject><ispartof>2016 Chinese Control and Decision Conference (CCDC), 2016, p.5772-5777</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7532031$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,314,777,781,786,787,27905,27906,54536,54913</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7532031$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Junwei, Dai</creatorcontrib><creatorcontrib>Rongmin, Cao</creatorcontrib><creatorcontrib>Zhongsheng, Hou</creatorcontrib><creatorcontrib>Yunjie, Zhao</creatorcontrib><title>Model-free adaptive predictive control for non-circular cutting derived CNC system</title><title>2016 Chinese Control and Decision Conference (CCDC)</title><addtitle>CCDC</addtitle><description>Model-free adaptive predictive control method based on non-circular cutting derived CNC system is proposed in this paper, the MATLAB simulation of the permanent magnet synchronous linear motor tool feed driving system verify the model-free adaptive predictive control algorithm to improve the control performance of the system, but also get the higher position tracking accuracy than the PID control algorithm. Accordingly, the disadvantage that complex adjustment, low processing efficiency and processing accuracy in the process of system can be overcome to some extent, when the data-driven control method is applied to the non-circular cross-section parts processing.</description><subject>Accuracy</subject><subject>Adaptation models</subject><subject>Adaptive algorithms</subject><subject>Adaptive control systems</subject><subject>Computer numerical control</subject><subject>Control systems</subject><subject>Data models</subject><subject>Data-driven</subject><subject>Mathematical model</subject><subject>Mathematical models</subject><subject>Matlab</subject><subject>Model-free adaptive predictive control</subject><subject>Non-circular cutting</subject><subject>Permanent magnet synchronous linear motor</subject><subject>Predictive control</subject><subject>Predictive models</subject><subject>Tracking</subject><issn>1948-9447</issn><isbn>9781467397131</isbn><isbn>146739713X</isbn><isbn>1467397148</isbn><isbn>9781467397148</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2016</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkEtLxDAYRaMgOI7zA8RNlm465tUkXUp8wqggui5p8lUinaYmqeC_d3Dmbs5dHO7iInRByZpS0lwbc2vWjFC5VjVnhNMjtGqUpkIq3ijK6TFa0EboqhFCnaKznL8IkZITskBvz9HDUPUJAFtvpxJ-AE8JfHD_1cWxpDjgPiY8xrFyIbl5sAm7uZQwfmIPaed5bF4Mzr-5wPYcnfR2yLA6cIk-7u_ezWO1eX14MjebKjCiS-UJ1wDUg3Xaso46QQloCUopwhlnTgqupG6o7kBz0Utnu1qyzvW1bGpS8yW62u9OKX7PkEu7DdnBMNgR4pxbqnm9i9Zqp17u1QAA7ZTC1qbf9vAW_wP3xF2Y</recordid><startdate>20160501</startdate><enddate>20160501</enddate><creator>Junwei, Dai</creator><creator>Rongmin, Cao</creator><creator>Zhongsheng, Hou</creator><creator>Yunjie, Zhao</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20160501</creationdate><title>Model-free adaptive predictive control for non-circular cutting derived CNC system</title><author>Junwei, Dai ; Rongmin, Cao ; Zhongsheng, Hou ; Yunjie, Zhao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i208t-d038ee1deac8a2b1c410e86e77703232c643768918be834f6cab562bcf5695053</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Accuracy</topic><topic>Adaptation models</topic><topic>Adaptive algorithms</topic><topic>Adaptive control systems</topic><topic>Computer numerical control</topic><topic>Control systems</topic><topic>Data models</topic><topic>Data-driven</topic><topic>Mathematical model</topic><topic>Mathematical models</topic><topic>Matlab</topic><topic>Model-free adaptive predictive control</topic><topic>Non-circular cutting</topic><topic>Permanent magnet synchronous linear motor</topic><topic>Predictive control</topic><topic>Predictive models</topic><topic>Tracking</topic><toplevel>online_resources</toplevel><creatorcontrib>Junwei, Dai</creatorcontrib><creatorcontrib>Rongmin, Cao</creatorcontrib><creatorcontrib>Zhongsheng, Hou</creatorcontrib><creatorcontrib>Yunjie, Zhao</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore (Online service)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Junwei, Dai</au><au>Rongmin, Cao</au><au>Zhongsheng, Hou</au><au>Yunjie, Zhao</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Model-free adaptive predictive control for non-circular cutting derived CNC system</atitle><btitle>2016 Chinese Control and Decision Conference (CCDC)</btitle><stitle>CCDC</stitle><date>2016-05-01</date><risdate>2016</risdate><spage>5772</spage><epage>5777</epage><pages>5772-5777</pages><eissn>1948-9447</eissn><eisbn>9781467397131</eisbn><eisbn>146739713X</eisbn><eisbn>1467397148</eisbn><eisbn>9781467397148</eisbn><abstract>Model-free adaptive predictive control method based on non-circular cutting derived CNC system is proposed in this paper, the MATLAB simulation of the permanent magnet synchronous linear motor tool feed driving system verify the model-free adaptive predictive control algorithm to improve the control performance of the system, but also get the higher position tracking accuracy than the PID control algorithm. Accordingly, the disadvantage that complex adjustment, low processing efficiency and processing accuracy in the process of system can be overcome to some extent, when the data-driven control method is applied to the non-circular cross-section parts processing.</abstract><pub>IEEE</pub><doi>10.1109/CCDC.2016.7532031</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier EISSN: 1948-9447
ispartof 2016 Chinese Control and Decision Conference (CCDC), 2016, p.5772-5777
issn 1948-9447
language eng
recordid cdi_ieee_primary_7532031
source IEEE Xplore All Conference Series
subjects Accuracy
Adaptation models
Adaptive algorithms
Adaptive control systems
Computer numerical control
Control systems
Data models
Data-driven
Mathematical model
Mathematical models
Matlab
Model-free adaptive predictive control
Non-circular cutting
Permanent magnet synchronous linear motor
Predictive control
Predictive models
Tracking
title Model-free adaptive predictive control for non-circular cutting derived CNC system
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T19%3A41%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Model-free%20adaptive%20predictive%20control%20for%20non-circular%20cutting%20derived%20CNC%20system&rft.btitle=2016%20Chinese%20Control%20and%20Decision%20Conference%20(CCDC)&rft.au=Junwei,%20Dai&rft.date=2016-05-01&rft.spage=5772&rft.epage=5777&rft.pages=5772-5777&rft.eissn=1948-9447&rft_id=info:doi/10.1109/CCDC.2016.7532031&rft.eisbn=9781467397131&rft.eisbn_list=146739713X&rft.eisbn_list=1467397148&rft.eisbn_list=9781467397148&rft_dat=%3Cproquest_CHZPO%3E1835555887%3C/proquest_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i208t-d038ee1deac8a2b1c410e86e77703232c643768918be834f6cab562bcf5695053%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1835555887&rft_id=info:pmid/&rft_ieee_id=7532031&rfr_iscdi=true