A road adhesion coefficient-tire cornering stiffness normalization method combining a fractional-order multi-variable gray model with a LSTM network and vehicle direct yaw-moment robust control
A normalization method of road adhesion coefficient and tire cornering stiffness is proposed to provide the significant information for vehicle direct yaw-moment control (DYC) system design. This method is carried out based on a fractional-order multi-variable gray model (FOMVGM) and a long short-te...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-08-01
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| Series: | Frontiers in Neurorobotics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnbot.2023.1229808/full |
| _version_ | 1797749026436677632 |
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| author | Yufeng Lian Yufeng Lian Wenhuan Feng Shuaishi Liu Shuaishi Liu Zhigen Nie |
| author_facet | Yufeng Lian Yufeng Lian Wenhuan Feng Shuaishi Liu Shuaishi Liu Zhigen Nie |
| author_sort | Yufeng Lian |
| collection | DOAJ |
| description | A normalization method of road adhesion coefficient and tire cornering stiffness is proposed to provide the significant information for vehicle direct yaw-moment control (DYC) system design. This method is carried out based on a fractional-order multi-variable gray model (FOMVGM) and a long short-term memory (LSTM) network. A FOMVGM is used to generate training data and testing data for LSTM network, and LSTM network is employed to predict tire cornering stiffness with road adhesion coefficient. In addition to that, tire cornering stiffness represented by road adhesion coefficient can be used to built vehicle lateral dynamic model and participate in DYC robust controller design. Simulations under different driving cycles are carried out to demonstrate the feasibility and effectiveness of the proposed normalization method of road adhesion coefficient and tire cornering stiffness and vehicle DYC robust control system, respectively. |
| first_indexed | 2024-03-12T16:13:20Z |
| format | Article |
| id | doaj.art-53e04d5ce8804d8e9a640b5b4c94064b |
| institution | Directory Open Access Journal |
| issn | 1662-5218 |
| language | English |
| last_indexed | 2024-03-12T16:13:20Z |
| publishDate | 2023-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurorobotics |
| spelling | doaj.art-53e04d5ce8804d8e9a640b5b4c94064b2023-08-09T09:03:55ZengFrontiers Media S.A.Frontiers in Neurorobotics1662-52182023-08-011710.3389/fnbot.2023.12298081229808A road adhesion coefficient-tire cornering stiffness normalization method combining a fractional-order multi-variable gray model with a LSTM network and vehicle direct yaw-moment robust controlYufeng Lian0Yufeng Lian1Wenhuan Feng2Shuaishi Liu3Shuaishi Liu4Zhigen Nie5School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, Jilin, ChinaInstitute of Robotics and Engineering, Changchun University of Technology, Changchun, Jilin, ChinaSchool of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, Jilin, ChinaSchool of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, Jilin, ChinaInstitute of Robotics and Engineering, Changchun University of Technology, Changchun, Jilin, ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Kunming, Yunnan, ChinaA normalization method of road adhesion coefficient and tire cornering stiffness is proposed to provide the significant information for vehicle direct yaw-moment control (DYC) system design. This method is carried out based on a fractional-order multi-variable gray model (FOMVGM) and a long short-term memory (LSTM) network. A FOMVGM is used to generate training data and testing data for LSTM network, and LSTM network is employed to predict tire cornering stiffness with road adhesion coefficient. In addition to that, tire cornering stiffness represented by road adhesion coefficient can be used to built vehicle lateral dynamic model and participate in DYC robust controller design. Simulations under different driving cycles are carried out to demonstrate the feasibility and effectiveness of the proposed normalization method of road adhesion coefficient and tire cornering stiffness and vehicle DYC robust control system, respectively.https://www.frontiersin.org/articles/10.3389/fnbot.2023.1229808/fulldirect yaw-moment controlfractional-order multi-variable gray modelLSTM networknormalization methodroad adhesion coefficienttire cornering stiffness |
| spellingShingle | Yufeng Lian Yufeng Lian Wenhuan Feng Shuaishi Liu Shuaishi Liu Zhigen Nie A road adhesion coefficient-tire cornering stiffness normalization method combining a fractional-order multi-variable gray model with a LSTM network and vehicle direct yaw-moment robust control Frontiers in Neurorobotics direct yaw-moment control fractional-order multi-variable gray model LSTM network normalization method road adhesion coefficient tire cornering stiffness |
| title | A road adhesion coefficient-tire cornering stiffness normalization method combining a fractional-order multi-variable gray model with a LSTM network and vehicle direct yaw-moment robust control |
| title_full | A road adhesion coefficient-tire cornering stiffness normalization method combining a fractional-order multi-variable gray model with a LSTM network and vehicle direct yaw-moment robust control |
| title_fullStr | A road adhesion coefficient-tire cornering stiffness normalization method combining a fractional-order multi-variable gray model with a LSTM network and vehicle direct yaw-moment robust control |
| title_full_unstemmed | A road adhesion coefficient-tire cornering stiffness normalization method combining a fractional-order multi-variable gray model with a LSTM network and vehicle direct yaw-moment robust control |
| title_short | A road adhesion coefficient-tire cornering stiffness normalization method combining a fractional-order multi-variable gray model with a LSTM network and vehicle direct yaw-moment robust control |
| title_sort | road adhesion coefficient tire cornering stiffness normalization method combining a fractional order multi variable gray model with a lstm network and vehicle direct yaw moment robust control |
| topic | direct yaw-moment control fractional-order multi-variable gray model LSTM network normalization method road adhesion coefficient tire cornering stiffness |
| url | https://www.frontiersin.org/articles/10.3389/fnbot.2023.1229808/full |
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