Model Predictive Control of an All-Wheel Drive Vehicle Considering Input and State Constraints.
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| Title: | Model Predictive Control of an All-Wheel Drive Vehicle Considering Input and State Constraints. |
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| Authors: | Jung, Hojin1 (AUTHOR), Pyun, Beomjoon2 (AUTHOR), Choi, Seibum1 (AUTHOR) sbchoi@kaist.ac.kr |
| Source: | International Journal of Automotive Technology. Apr2020, Vol. 21 Issue 2, p493-502. 10p. |
| Subjects: | Prediction models, Torque control, Vehicle models, Vehicles, Predictive control systems, Motor vehicle tires, Automobile dynamics |
| Abstract: | This paper suggests a novel model-based control scheme for an all-wheel drive (AWD) vehicle. Using transfer case, AWD system is able to transfer the engine torque to all the wheels mechanically, helping the vehicle to maintain traction on a slippery road or to climb a hill. Recently, an active type AWD system that is able to control the torque transmitted through transfer case continuously by the aid of electronic clutch actuator has become popular. In order to realize preemptive operation which is necessary property for AWD system while simultaneously considering states and input constraints which is originated from mechanical and physical characteristics, this paper adopted model predictive control (MPC) concept. The proposed MPC-based controller was designed by using planar full-car model that is based on tire force and motion states, which represents the direct relationship between these states and control input. Therefore, the planar full-car model contributed the suggested controller to follow standard MPC design process. The target states of longitudinal wheel slip and yaw rate, which have commonly been adopted in previous studies, were selected for practical concerns. The advantages of the suggested MPC-based controller that is designed especially for an AWD system were validated by conducting simulations through a SimulinkCarSim-based AWD vehicle model. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Automotive Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 141384827 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Model Predictive Control of an All-Wheel Drive Vehicle Considering Input and State Constraints. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jung%2C+Hojin%22">Jung, Hojin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pyun%2C+Beomjoon%22">Pyun, Beomjoon</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Choi%2C+Seibum%22">Choi, Seibum</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sbchoi@kaist.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Automotive+Technology%22">International Journal of Automotive Technology</searchLink>. Apr2020, Vol. 21 Issue 2, p493-502. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br /><searchLink fieldCode="DE" term="%22Torque+control%22">Torque control</searchLink><br /><searchLink fieldCode="DE" term="%22Vehicle+models%22">Vehicle models</searchLink><br /><searchLink fieldCode="DE" term="%22Vehicles%22">Vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Predictive+control+systems%22">Predictive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Motor+vehicle+tires%22">Motor vehicle tires</searchLink><br /><searchLink fieldCode="DE" term="%22Automobile+dynamics%22">Automobile dynamics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper suggests a novel model-based control scheme for an all-wheel drive (AWD) vehicle. Using transfer case, AWD system is able to transfer the engine torque to all the wheels mechanically, helping the vehicle to maintain traction on a slippery road or to climb a hill. Recently, an active type AWD system that is able to control the torque transmitted through transfer case continuously by the aid of electronic clutch actuator has become popular. In order to realize preemptive operation which is necessary property for AWD system while simultaneously considering states and input constraints which is originated from mechanical and physical characteristics, this paper adopted model predictive control (MPC) concept. The proposed MPC-based controller was designed by using planar full-car model that is based on tire force and motion states, which represents the direct relationship between these states and control input. Therefore, the planar full-car model contributed the suggested controller to follow standard MPC design process. The target states of longitudinal wheel slip and yaw rate, which have commonly been adopted in previous studies, were selected for practical concerns. The advantages of the suggested MPC-based controller that is designed especially for an AWD system were validated by conducting simulations through a SimulinkCarSim-based AWD vehicle model. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Automotive Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s12239-020-0046-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 493 Subjects: – SubjectFull: Prediction models Type: general – SubjectFull: Torque control Type: general – SubjectFull: Vehicle models Type: general – SubjectFull: Vehicles Type: general – SubjectFull: Predictive control systems Type: general – SubjectFull: Motor vehicle tires Type: general – SubjectFull: Automobile dynamics Type: general Titles: – TitleFull: Model Predictive Control of an All-Wheel Drive Vehicle Considering Input and State Constraints. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jung, Hojin – PersonEntity: Name: NameFull: Pyun, Beomjoon – PersonEntity: Name: NameFull: Choi, Seibum IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 12299138 Numbering: – Type: volume Value: 21 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Automotive Technology Type: main |
| ResultId | 1 |
