Cornering stability control for vehicles with active front steering system using T-S fuzzy based sliding mode control strategy
•The vehicle nonlinear characteristics are considered by using the T-S fuzzy approach.•A new sliding mode control strategy is proposed based on the T-S fuzzy approach.•The effective region is considered for the bounded sector zone of the AFS system.•A model parameter observer is designed to obtain t...
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Veröffentlicht in: | Mechanical systems and signal processing 2019-06, Vol.125, p.347-364 |
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creator | Ma, Xinbo Wong, Pak Kin Zhao, Jing Xie, Zhengchao |
description | •The vehicle nonlinear characteristics are considered by using the T-S fuzzy approach.•A new sliding mode control strategy is proposed based on the T-S fuzzy approach.•The effective region is considered for the bounded sector zone of the AFS system.•A model parameter observer is designed to obtain the real-time cornering stiffness.
Active front steering (AFS) has drawn considerable attention due to its superiority in improving the vehicle safety. This paper proposes a new Takagi-Sugeno (T-S) fuzzy based sliding mode control (SMC) strategy for the AFS system to improve the cornering stability of vehicles. Different from the conventional SMC strategy, the control law of the proposed control strategy is designed based on the T-S fuzzy approach which deals with the nonlinearity of the tire in a simplified but effective way. In the design of the control strategy, the bounded sector zone in the T-S fuzzy approach is determined based on the working region of the AFS system, and a model parameter observer is constructed to obtain the real-time cornering stiffness of the vehicle. To evaluate the cornering performance, simulations are conducted via open-loop and closed-loop tests. Simulation results show that the proposed T-S fuzzy based SMC strategy, which considers the nonlinearity of the tire and multi-objective control, is able to improve the cornering stability of the vehicle as compared with the conventional SMC strategy. |
doi_str_mv | 10.1016/j.ymssp.2018.05.059 |
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Active front steering (AFS) has drawn considerable attention due to its superiority in improving the vehicle safety. This paper proposes a new Takagi-Sugeno (T-S) fuzzy based sliding mode control (SMC) strategy for the AFS system to improve the cornering stability of vehicles. Different from the conventional SMC strategy, the control law of the proposed control strategy is designed based on the T-S fuzzy approach which deals with the nonlinearity of the tire in a simplified but effective way. In the design of the control strategy, the bounded sector zone in the T-S fuzzy approach is determined based on the working region of the AFS system, and a model parameter observer is constructed to obtain the real-time cornering stiffness of the vehicle. To evaluate the cornering performance, simulations are conducted via open-loop and closed-loop tests. Simulation results show that the proposed T-S fuzzy based SMC strategy, which considers the nonlinearity of the tire and multi-objective control, is able to improve the cornering stability of the vehicle as compared with the conventional SMC strategy.</description><identifier>ISSN: 0888-3270</identifier><identifier>EISSN: 1096-1216</identifier><identifier>DOI: 10.1016/j.ymssp.2018.05.059</identifier><language>eng</language><publisher>Berlin: Elsevier Ltd</publisher><subject>Active control ; Active front steering ; Computer simulation ; Control stability ; Control theory ; Cornering ; Cornering stability ; Fuzzy control ; Fuzzy systems ; Nonlinearity ; Sliding mode control ; Steering ; Stiffness ; Strategy ; T-S fuzzy based SMC ; Tire nonlinearity ; Vehicle safety ; Vehicles</subject><ispartof>Mechanical systems and signal processing, 2019-06, Vol.125, p.347-364</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jun 15, 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c331t-7bd0ff7401db8548ba669445076528ba2cb10c242ad328aa229cbed2f9ca81183</citedby><cites>FETCH-LOGICAL-c331t-7bd0ff7401db8548ba669445076528ba2cb10c242ad328aa229cbed2f9ca81183</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ymssp.2018.05.059$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Ma, Xinbo</creatorcontrib><creatorcontrib>Wong, Pak Kin</creatorcontrib><creatorcontrib>Zhao, Jing</creatorcontrib><creatorcontrib>Xie, Zhengchao</creatorcontrib><title>Cornering stability control for vehicles with active front steering system using T-S fuzzy based sliding mode control strategy</title><title>Mechanical systems and signal processing</title><description>•The vehicle nonlinear characteristics are considered by using the T-S fuzzy approach.•A new sliding mode control strategy is proposed based on the T-S fuzzy approach.•The effective region is considered for the bounded sector zone of the AFS system.•A model parameter observer is designed to obtain the real-time cornering stiffness.
Active front steering (AFS) has drawn considerable attention due to its superiority in improving the vehicle safety. This paper proposes a new Takagi-Sugeno (T-S) fuzzy based sliding mode control (SMC) strategy for the AFS system to improve the cornering stability of vehicles. Different from the conventional SMC strategy, the control law of the proposed control strategy is designed based on the T-S fuzzy approach which deals with the nonlinearity of the tire in a simplified but effective way. In the design of the control strategy, the bounded sector zone in the T-S fuzzy approach is determined based on the working region of the AFS system, and a model parameter observer is constructed to obtain the real-time cornering stiffness of the vehicle. To evaluate the cornering performance, simulations are conducted via open-loop and closed-loop tests. Simulation results show that the proposed T-S fuzzy based SMC strategy, which considers the nonlinearity of the tire and multi-objective control, is able to improve the cornering stability of the vehicle as compared with the conventional SMC strategy.</description><subject>Active control</subject><subject>Active front steering</subject><subject>Computer simulation</subject><subject>Control stability</subject><subject>Control theory</subject><subject>Cornering</subject><subject>Cornering stability</subject><subject>Fuzzy control</subject><subject>Fuzzy systems</subject><subject>Nonlinearity</subject><subject>Sliding mode control</subject><subject>Steering</subject><subject>Stiffness</subject><subject>Strategy</subject><subject>T-S fuzzy based SMC</subject><subject>Tire nonlinearity</subject><subject>Vehicle safety</subject><subject>Vehicles</subject><issn>0888-3270</issn><issn>1096-1216</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLAzEQx4MoWB-fwEvA89ZJ9tHswYMUXyB4UM8hm8y2KdtNTdLKevCzm7XiURiYB__fDPMn5ILBlAGrrlbTYR3CZsqBiSmUKeoDMmFQVxnjrDokExBCZDmfwTE5CWEFAHUB1YR8zZ3v0dt-QUNUje1sHKh2ffSuo63zdIdLqzsM9MPGJVU62h3S1idFAvCXHFK5ptswNq_ZC223n58DbVRAQ0NnzThfO4N_m0P0KuJiOCNHreoCnv_mU_J2d_s6f8ienu8f5zdPmc5zFrNZY6BtZwUw04iyEI2qqrooSphVJU8d1w0DzQuuTM6FUpzXukHD21orwZjIT8nlfu_Gu_cthihXbuv7dFJyzplILvI6qfK9SnsXgsdWbrxdKz9IBnI0Wq7kj9FyNFpCmWKkrvcUpgd2Fr0M2mKv0ViPOkrj7L_8N8AFiuQ</recordid><startdate>20190615</startdate><enddate>20190615</enddate><creator>Ma, Xinbo</creator><creator>Wong, Pak Kin</creator><creator>Zhao, Jing</creator><creator>Xie, Zhengchao</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20190615</creationdate><title>Cornering stability control for vehicles with active front steering system using T-S fuzzy based sliding mode control strategy</title><author>Ma, Xinbo ; Wong, Pak Kin ; Zhao, Jing ; Xie, Zhengchao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c331t-7bd0ff7401db8548ba669445076528ba2cb10c242ad328aa229cbed2f9ca81183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Active control</topic><topic>Active front steering</topic><topic>Computer simulation</topic><topic>Control stability</topic><topic>Control theory</topic><topic>Cornering</topic><topic>Cornering stability</topic><topic>Fuzzy control</topic><topic>Fuzzy systems</topic><topic>Nonlinearity</topic><topic>Sliding mode control</topic><topic>Steering</topic><topic>Stiffness</topic><topic>Strategy</topic><topic>T-S fuzzy based SMC</topic><topic>Tire nonlinearity</topic><topic>Vehicle safety</topic><topic>Vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ma, Xinbo</creatorcontrib><creatorcontrib>Wong, Pak Kin</creatorcontrib><creatorcontrib>Zhao, Jing</creatorcontrib><creatorcontrib>Xie, Zhengchao</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology 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><jtitle>Mechanical systems and signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ma, Xinbo</au><au>Wong, Pak Kin</au><au>Zhao, Jing</au><au>Xie, Zhengchao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cornering stability control for vehicles with active front steering system using T-S fuzzy based sliding mode control strategy</atitle><jtitle>Mechanical systems and signal processing</jtitle><date>2019-06-15</date><risdate>2019</risdate><volume>125</volume><spage>347</spage><epage>364</epage><pages>347-364</pages><issn>0888-3270</issn><eissn>1096-1216</eissn><abstract>•The vehicle nonlinear characteristics are considered by using the T-S fuzzy approach.•A new sliding mode control strategy is proposed based on the T-S fuzzy approach.•The effective region is considered for the bounded sector zone of the AFS system.•A model parameter observer is designed to obtain the real-time cornering stiffness.
Active front steering (AFS) has drawn considerable attention due to its superiority in improving the vehicle safety. This paper proposes a new Takagi-Sugeno (T-S) fuzzy based sliding mode control (SMC) strategy for the AFS system to improve the cornering stability of vehicles. Different from the conventional SMC strategy, the control law of the proposed control strategy is designed based on the T-S fuzzy approach which deals with the nonlinearity of the tire in a simplified but effective way. In the design of the control strategy, the bounded sector zone in the T-S fuzzy approach is determined based on the working region of the AFS system, and a model parameter observer is constructed to obtain the real-time cornering stiffness of the vehicle. To evaluate the cornering performance, simulations are conducted via open-loop and closed-loop tests. Simulation results show that the proposed T-S fuzzy based SMC strategy, which considers the nonlinearity of the tire and multi-objective control, is able to improve the cornering stability of the vehicle as compared with the conventional SMC strategy.</abstract><cop>Berlin</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ymssp.2018.05.059</doi><tpages>18</tpages></addata></record> |
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subjects | Active control Active front steering Computer simulation Control stability Control theory Cornering Cornering stability Fuzzy control Fuzzy systems Nonlinearity Sliding mode control Steering Stiffness Strategy T-S fuzzy based SMC Tire nonlinearity Vehicle safety Vehicles |
title | Cornering stability control for vehicles with active front steering system using T-S fuzzy based sliding mode control strategy |
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