System for intelligent control of a vehicle suspension based on soft computing
1. Field of the Invention A reduced control system suitable for control of an active suspension system as a controlled plant is described. The reduced control system is configured to use a reduced sensor set for controlling the suspension without significant loss of control quality (accuracy) as com...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Patent |
Sprache: | eng |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Ulyanov, Sergei V Hagiwara, Takahide |
description | 1. Field of the Invention
A reduced control system suitable for control of an active suspension system as a controlled plant is described. The reduced control system is configured to use a reduced sensor set for controlling the suspension without significant loss of control quality (accuracy) as compared to an optimal control system with an optimum sensor set. The control system calculates the information content provided by the reduced sensor set as compared to the information content provided by the optimum set. The control system also calculates the difference between the entropy production rate of the plant and the entropy production rate of the controller. A genetic optimizer is used to tune a fuzzy neural network in the reduced controller. A fitness function for the genetic optimizer provides optimum control accuracy in the reduced control system by minimizing the difference in entropy production while maximizing the sensor information content. |
format | Patent |
fullrecord | <record><control><sourceid>uspatents_EFH</sourceid><recordid>TN_cdi_uspatents_grants_06463371</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>06463371</sourcerecordid><originalsourceid>FETCH-uspatents_grants_064633713</originalsourceid><addsrcrecordid>eNrjZPALriwuSc1VSMsvUsjMK0nNyclMT80rUUjOzyspys9RyE9TSFQoS83ITM5JVSguLS5IzSvOzM9TSEosTk1RADKK89NAqnMLSksy89J5GFjTEnOKU3mhNDeDgptriLOHLlBnYgnQ4OL49KJEEGVgZmJmbGxuaEyEEgAARTfG</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>System for intelligent control of a vehicle suspension based on soft computing</title><source>USPTO Issued Patents</source><creator>Ulyanov, Sergei V ; Hagiwara, Takahide</creator><creatorcontrib>Ulyanov, Sergei V ; Hagiwara, Takahide ; Yamaha Hatsudoki Kabushiki Kaisha</creatorcontrib><description>1. Field of the Invention
A reduced control system suitable for control of an active suspension system as a controlled plant is described. The reduced control system is configured to use a reduced sensor set for controlling the suspension without significant loss of control quality (accuracy) as compared to an optimal control system with an optimum sensor set. The control system calculates the information content provided by the reduced sensor set as compared to the information content provided by the optimum set. The control system also calculates the difference between the entropy production rate of the plant and the entropy production rate of the controller. A genetic optimizer is used to tune a fuzzy neural network in the reduced controller. A fitness function for the genetic optimizer provides optimum control accuracy in the reduced control system by minimizing the difference in entropy production while maximizing the sensor information content.</description><language>eng</language><creationdate>2002</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/6463371$$EPDF$$P50$$Guspatents$$Hfree_for_read</linktopdf><link.rule.ids>230,308,780,802,885,64039</link.rule.ids><linktorsrc>$$Uhttps://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/6463371$$EView_record_in_USPTO$$FView_record_in_$$GUSPTO$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Ulyanov, Sergei V</creatorcontrib><creatorcontrib>Hagiwara, Takahide</creatorcontrib><creatorcontrib>Yamaha Hatsudoki Kabushiki Kaisha</creatorcontrib><title>System for intelligent control of a vehicle suspension based on soft computing</title><description>1. Field of the Invention
A reduced control system suitable for control of an active suspension system as a controlled plant is described. The reduced control system is configured to use a reduced sensor set for controlling the suspension without significant loss of control quality (accuracy) as compared to an optimal control system with an optimum sensor set. The control system calculates the information content provided by the reduced sensor set as compared to the information content provided by the optimum set. The control system also calculates the difference between the entropy production rate of the plant and the entropy production rate of the controller. A genetic optimizer is used to tune a fuzzy neural network in the reduced controller. A fitness function for the genetic optimizer provides optimum control accuracy in the reduced control system by minimizing the difference in entropy production while maximizing the sensor information content.</description><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2002</creationdate><recordtype>patent</recordtype><sourceid>EFH</sourceid><recordid>eNrjZPALriwuSc1VSMsvUsjMK0nNyclMT80rUUjOzyspys9RyE9TSFQoS83ITM5JVSguLS5IzSvOzM9TSEosTk1RADKK89NAqnMLSksy89J5GFjTEnOKU3mhNDeDgptriLOHLlBnYgnQ4OL49KJEEGVgZmJmbGxuaEyEEgAARTfG</recordid><startdate>20021008</startdate><enddate>20021008</enddate><creator>Ulyanov, Sergei V</creator><creator>Hagiwara, Takahide</creator><scope>EFH</scope></search><sort><creationdate>20021008</creationdate><title>System for intelligent control of a vehicle suspension based on soft computing</title><author>Ulyanov, Sergei V ; Hagiwara, Takahide</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-uspatents_grants_064633713</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2002</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Ulyanov, Sergei V</creatorcontrib><creatorcontrib>Hagiwara, Takahide</creatorcontrib><creatorcontrib>Yamaha Hatsudoki Kabushiki Kaisha</creatorcontrib><collection>USPTO Issued Patents</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ulyanov, Sergei V</au><au>Hagiwara, Takahide</au><aucorp>Yamaha Hatsudoki Kabushiki Kaisha</aucorp><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>System for intelligent control of a vehicle suspension based on soft computing</title><date>2002-10-08</date><risdate>2002</risdate><abstract>1. Field of the Invention
A reduced control system suitable for control of an active suspension system as a controlled plant is described. The reduced control system is configured to use a reduced sensor set for controlling the suspension without significant loss of control quality (accuracy) as compared to an optimal control system with an optimum sensor set. The control system calculates the information content provided by the reduced sensor set as compared to the information content provided by the optimum set. The control system also calculates the difference between the entropy production rate of the plant and the entropy production rate of the controller. A genetic optimizer is used to tune a fuzzy neural network in the reduced controller. A fitness function for the genetic optimizer provides optimum control accuracy in the reduced control system by minimizing the difference in entropy production while maximizing the sensor information content.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_uspatents_grants_06463371 |
source | USPTO Issued Patents |
title | System for intelligent control of a vehicle suspension based on soft computing |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T09%3A49%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-uspatents_EFH&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Ulyanov,%20Sergei%20V&rft.aucorp=Yamaha%20Hatsudoki%20Kabushiki%20Kaisha&rft.date=2002-10-08&rft_id=info:doi/&rft_dat=%3Cuspatents_EFH%3E06463371%3C/uspatents_EFH%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |