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Adaptive fuzzy integral sliding mode velocity controlfor the cutting system of a trench cutte
This paper presents a velocity controller for the cutting system of a trench cutter (TC). The cutting velocity of a cutting system is affected by the unknown load characteristics of rock and soil. In addition, geological conditions vary with time. Due to the complex load characteristics of rock and...
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Published in: | 信息与电子工程前沿:英文版 2016, Vol.17 (1), p.55-66 |
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creator | Qi-yan TIAN Jian-hua WEI Jin-hui FANG Kai GUO |
description | This paper presents a velocity controller for the cutting system of a trench cutter (TC). The cutting velocity of a cutting system is affected by the unknown load characteristics of rock and soil. In addition, geological conditions vary with time. Due to the complex load characteristics of rock and soil, the cutting load torque of a cutter is related to the geological conditions and the feeding velocity of the cutter. Moreover, a cutter's dynamic model is subjected to uncertainties with unknown effects on its function. In this study, to deal with the particular characteristics of a cutting system, a novel adaptive fuzzy integral sliding mode control (AFISMC) is designed for controlling cutting velocity. The model combines the robust characteristics of an integral sliding mode controller with the adaptive adjusting characteristics of an adaptive fuzzy controller. The AFISMC cutting velocity con- troller is synthesized using the backstepping technique. The stability of the whole system including the fuzzy inference system, integral sliding mode controller, and the cutting system is proven using the Lyapunov theory. Experiments have been conducted on a TC test bench with the AFISMC under different operating conditions. The experimental results demonstrate that the proposed AFISMC cutting velocity controller gives a superior and robust velocity tracking performance. |
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The cutting velocity of a cutting system is affected by the unknown load characteristics of rock and soil. In addition, geological conditions vary with time. Due to the complex load characteristics of rock and soil, the cutting load torque of a cutter is related to the geological conditions and the feeding velocity of the cutter. Moreover, a cutter's dynamic model is subjected to uncertainties with unknown effects on its function. In this study, to deal with the particular characteristics of a cutting system, a novel adaptive fuzzy integral sliding mode control (AFISMC) is designed for controlling cutting velocity. The model combines the robust characteristics of an integral sliding mode controller with the adaptive adjusting characteristics of an adaptive fuzzy controller. The AFISMC cutting velocity con- troller is synthesized using the backstepping technique. The stability of the whole system including the fuzzy inference system, integral sliding mode controller, and the cutting system is proven using the Lyapunov theory. Experiments have been conducted on a TC test bench with the AFISMC under different operating conditions. The experimental results demonstrate that the proposed AFISMC cutting velocity controller gives a superior and robust velocity tracking performance.</description><identifier>ISSN: 2095-9184</identifier><identifier>EISSN: 2095-9230</identifier><language>eng</language><subject>Adaptive ; control ; Cutting ; Electro-hydraulic ; fuzzy ; integral ; mode ; sliding ; system ; velocity</subject><ispartof>信息与电子工程前沿:英文版, 2016, Vol.17 (1), p.55-66</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/89589A/89589A.jpg</thumbnail><link.rule.ids>314,780,784,4024</link.rule.ids></links><search><creatorcontrib>Qi-yan TIAN Jian-hua WEI Jin-hui FANG Kai GUO</creatorcontrib><title>Adaptive fuzzy integral sliding mode velocity controlfor the cutting system of a trench cutte</title><title>信息与电子工程前沿:英文版</title><addtitle>Frontiers of Information Technology & Electronic Engineering</addtitle><description>This paper presents a velocity controller for the cutting system of a trench cutter (TC). The cutting velocity of a cutting system is affected by the unknown load characteristics of rock and soil. In addition, geological conditions vary with time. Due to the complex load characteristics of rock and soil, the cutting load torque of a cutter is related to the geological conditions and the feeding velocity of the cutter. Moreover, a cutter's dynamic model is subjected to uncertainties with unknown effects on its function. In this study, to deal with the particular characteristics of a cutting system, a novel adaptive fuzzy integral sliding mode control (AFISMC) is designed for controlling cutting velocity. The model combines the robust characteristics of an integral sliding mode controller with the adaptive adjusting characteristics of an adaptive fuzzy controller. The AFISMC cutting velocity con- troller is synthesized using the backstepping technique. The stability of the whole system including the fuzzy inference system, integral sliding mode controller, and the cutting system is proven using the Lyapunov theory. Experiments have been conducted on a TC test bench with the AFISMC under different operating conditions. The experimental results demonstrate that the proposed AFISMC cutting velocity controller gives a superior and robust velocity tracking performance.</description><subject>Adaptive</subject><subject>control</subject><subject>Cutting</subject><subject>Electro-hydraulic</subject><subject>fuzzy</subject><subject>integral</subject><subject>mode</subject><subject>sliding</subject><subject>system</subject><subject>velocity</subject><issn>2095-9184</issn><issn>2095-9230</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqNi8sKwjAQRYMoWLT_MLgvpFZjuxRR_AC3UkI6bSNposkotF_vA927ugfOuSMWLXmxToplxsc_TvPVlMUhXDjnqUiLTZFH7Lyt5JX0A6G-D0MP2hI2XhoIRlfaNtC5CuGBxilNPShnyTtTOw_UIqg70TsKfSDswNUggTxa1X4UztmkliZg_N0ZWxz2p90xUa2zze11La9ed9L3pRAbkQuRieyv6AmobkXz</recordid><startdate>2016</startdate><enddate>2016</enddate><creator>Qi-yan TIAN Jian-hua WEI Jin-hui FANG Kai GUO</creator><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope></search><sort><creationdate>2016</creationdate><title>Adaptive fuzzy integral sliding mode velocity controlfor the cutting system of a trench cutte</title><author>Qi-yan TIAN Jian-hua WEI Jin-hui FANG Kai GUO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-chongqing_primary_6676866363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adaptive</topic><topic>control</topic><topic>Cutting</topic><topic>Electro-hydraulic</topic><topic>fuzzy</topic><topic>integral</topic><topic>mode</topic><topic>sliding</topic><topic>system</topic><topic>velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qi-yan TIAN Jian-hua WEI Jin-hui FANG Kai GUO</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><jtitle>信息与电子工程前沿:英文版</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Qi-yan TIAN Jian-hua WEI Jin-hui FANG Kai GUO</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive fuzzy integral sliding mode velocity controlfor the cutting system of a trench cutte</atitle><jtitle>信息与电子工程前沿:英文版</jtitle><addtitle>Frontiers of Information Technology & Electronic Engineering</addtitle><date>2016</date><risdate>2016</risdate><volume>17</volume><issue>1</issue><spage>55</spage><epage>66</epage><pages>55-66</pages><issn>2095-9184</issn><eissn>2095-9230</eissn><abstract>This paper presents a velocity controller for the cutting system of a trench cutter (TC). The cutting velocity of a cutting system is affected by the unknown load characteristics of rock and soil. In addition, geological conditions vary with time. Due to the complex load characteristics of rock and soil, the cutting load torque of a cutter is related to the geological conditions and the feeding velocity of the cutter. Moreover, a cutter's dynamic model is subjected to uncertainties with unknown effects on its function. In this study, to deal with the particular characteristics of a cutting system, a novel adaptive fuzzy integral sliding mode control (AFISMC) is designed for controlling cutting velocity. The model combines the robust characteristics of an integral sliding mode controller with the adaptive adjusting characteristics of an adaptive fuzzy controller. The AFISMC cutting velocity con- troller is synthesized using the backstepping technique. The stability of the whole system including the fuzzy inference system, integral sliding mode controller, and the cutting system is proven using the Lyapunov theory. Experiments have been conducted on a TC test bench with the AFISMC under different operating conditions. The experimental results demonstrate that the proposed AFISMC cutting velocity controller gives a superior and robust velocity tracking performance.</abstract></addata></record> |
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source | Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List |
subjects | Adaptive control Cutting Electro-hydraulic fuzzy integral mode sliding system velocity |
title | Adaptive fuzzy integral sliding mode velocity controlfor the cutting system of a trench cutte |
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