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Design of Torque Distribution Strategy for Four-Wheel-Independent-Drive Electric Vehicle
In order to further improve the handling stability of four-wheel-independent-drive electric vehicle, the control strategy designed in this paper adopts the hierarchical structure. The upper controller uses the vehicle dynamics principle and relevant expert control experience to formulate the corresp...
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Published in: | Automatic control and computer sciences 2020-11, Vol.54 (6), p.501-512 |
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container_title | Automatic control and computer sciences |
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creator | Chuanwei Zhang Zhang, Rongbo Wang, Rui Chang, Bo Ma, Jian |
description | In order to further improve the handling stability of four-wheel-independent-drive electric vehicle, the control strategy designed in this paper adopts the hierarchical structure. The upper controller uses the vehicle dynamics principle and relevant expert control experience to formulate the corresponding fuzzy control rules to build the fuzzy controller. The linear two-degree-of-freedom reference model is built to obtain the desired driving state information of the vehicle, and the corresponding deviations are obtained by comparing with the actual vehicle state information, which are the input of the designed fuzzy controller to obtain the additional yaw moment required for stable driving of the vehicle. The lower controller obtains the generation mechanism of additional yaw moment through the 7-degree-of-freedom vehicle model and the characteristics of tire friction ellipse. Based on this, the regular distribution strategy is designed to obtain the driving torque on each driving motor. Through Carsim/Simulink joint simulation and hardware-in-the-loop experiments based on MicroAutoBox, the effectiveness and real-time performance of the designed control strategy are fully verified, and accelerate the development process of vehicle controller. |
doi_str_mv | 10.3103/S0146411620060103 |
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The upper controller uses the vehicle dynamics principle and relevant expert control experience to formulate the corresponding fuzzy control rules to build the fuzzy controller. The linear two-degree-of-freedom reference model is built to obtain the desired driving state information of the vehicle, and the corresponding deviations are obtained by comparing with the actual vehicle state information, which are the input of the designed fuzzy controller to obtain the additional yaw moment required for stable driving of the vehicle. The lower controller obtains the generation mechanism of additional yaw moment through the 7-degree-of-freedom vehicle model and the characteristics of tire friction ellipse. Based on this, the regular distribution strategy is designed to obtain the driving torque on each driving motor. Through Carsim/Simulink joint simulation and hardware-in-the-loop experiments based on MicroAutoBox, the effectiveness and real-time performance of the designed control strategy are fully verified, and accelerate the development process of vehicle controller.</description><identifier>ISSN: 0146-4116</identifier><identifier>EISSN: 1558-108X</identifier><identifier>DOI: 10.3103/S0146411620060103</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Computer Science ; Control stability ; Control Structures and Microprogramming ; Control systems design ; Controllers ; Degrees of freedom ; Electric vehicles ; Fuzzy control ; Hardware-in-the-loop simulation ; Strategy ; Structural hierarchy ; Torque ; Yawing moments</subject><ispartof>Automatic control and computer sciences, 2020-11, Vol.54 (6), p.501-512</ispartof><rights>Allerton Press, Inc. 2020. 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Based on this, the regular distribution strategy is designed to obtain the driving torque on each driving motor. Through Carsim/Simulink joint simulation and hardware-in-the-loop experiments based on MicroAutoBox, the effectiveness and real-time performance of the designed control strategy are fully verified, and accelerate the development process of vehicle controller.</description><subject>Computer Science</subject><subject>Control stability</subject><subject>Control Structures and Microprogramming</subject><subject>Control systems design</subject><subject>Controllers</subject><subject>Degrees of freedom</subject><subject>Electric vehicles</subject><subject>Fuzzy control</subject><subject>Hardware-in-the-loop simulation</subject><subject>Strategy</subject><subject>Structural hierarchy</subject><subject>Torque</subject><subject>Yawing moments</subject><issn>0146-4116</issn><issn>1558-108X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1UEtLAzEQDqJgrf4AbwHP0UySZneP0ocWCh5atbclTSbtlnW3Jluh_96UCh5EGGZgvsd8DCG3wO8lcPkw56C0AtCCc83T5oz0YDDIGfB8eU56R5gd8UtyFeOW84TlukeWI4zVuqGtp4s2fO6RjqrYhWq176q2ofMumA7XB-rbQCftPrD3DWLNpo3DHabWdGwUqi-k4xpt0ln6hpvK1nhNLrypI978zD55nYwXw2c2e3maDh9nzErQHfPeF5kTrtCFFyZHB16KIkNpckgllUNwGjhYK13mFRitjR6gVYVGsfKyT-5OvrvQpvixK7cpZpNOlkJlOc-Aa5VYcGLZ0MYY0Je7UH2YcCiBl8cHln8emDTipImJ26wx_Dr_L_oGJUdySQ</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Chuanwei Zhang</creator><creator>Zhang, Rongbo</creator><creator>Wang, Rui</creator><creator>Chang, Bo</creator><creator>Ma, Jian</creator><general>Pleiades Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20201101</creationdate><title>Design of Torque Distribution Strategy for Four-Wheel-Independent-Drive Electric Vehicle</title><author>Chuanwei Zhang ; Zhang, Rongbo ; Wang, Rui ; Chang, Bo ; Ma, Jian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-fff97d2d969f2a8ed1f3297e3a81a8134de1d6101cc3d7f41a66a65ec496e2bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Computer Science</topic><topic>Control stability</topic><topic>Control Structures and Microprogramming</topic><topic>Control systems design</topic><topic>Controllers</topic><topic>Degrees of freedom</topic><topic>Electric vehicles</topic><topic>Fuzzy control</topic><topic>Hardware-in-the-loop simulation</topic><topic>Strategy</topic><topic>Structural hierarchy</topic><topic>Torque</topic><topic>Yawing moments</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chuanwei Zhang</creatorcontrib><creatorcontrib>Zhang, Rongbo</creatorcontrib><creatorcontrib>Wang, Rui</creatorcontrib><creatorcontrib>Chang, Bo</creatorcontrib><creatorcontrib>Ma, Jian</creatorcontrib><collection>CrossRef</collection><jtitle>Automatic control and computer sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chuanwei Zhang</au><au>Zhang, Rongbo</au><au>Wang, Rui</au><au>Chang, Bo</au><au>Ma, Jian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design of Torque Distribution Strategy for Four-Wheel-Independent-Drive Electric Vehicle</atitle><jtitle>Automatic control and computer sciences</jtitle><stitle>Aut. 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The lower controller obtains the generation mechanism of additional yaw moment through the 7-degree-of-freedom vehicle model and the characteristics of tire friction ellipse. Based on this, the regular distribution strategy is designed to obtain the driving torque on each driving motor. Through Carsim/Simulink joint simulation and hardware-in-the-loop experiments based on MicroAutoBox, the effectiveness and real-time performance of the designed control strategy are fully verified, and accelerate the development process of vehicle controller.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.3103/S0146411620060103</doi><tpages>12</tpages></addata></record> |
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subjects | Computer Science Control stability Control Structures and Microprogramming Control systems design Controllers Degrees of freedom Electric vehicles Fuzzy control Hardware-in-the-loop simulation Strategy Structural hierarchy Torque Yawing moments |
title | Design of Torque Distribution Strategy for Four-Wheel-Independent-Drive Electric Vehicle |
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