Estimation of Tire Normal Forces including Suspension Dynamics
Tire normal forces are difficult to measure, but information on the vehicle normal force can be used in many automotive engineering applications, e.g., rollover detection and vehicle and wheel stability. Previous papers use algebraic equations to estimate the tire normal force. In this article, the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/9/2378 |
| _version_ | 1797536738952871936 |
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| author | Louis Filipozzi Francis Assadian Ming Kuang Rajit Johri Jose Velazquez Alcantar |
| author_facet | Louis Filipozzi Francis Assadian Ming Kuang Rajit Johri Jose Velazquez Alcantar |
| author_sort | Louis Filipozzi |
| collection | DOAJ |
| description | Tire normal forces are difficult to measure, but information on the vehicle normal force can be used in many automotive engineering applications, e.g., rollover detection and vehicle and wheel stability. Previous papers use algebraic equations to estimate the tire normal force. In this article, the estimation of tire normal force is formulated as an input estimation problem. Two observers are proposed to solve this problem by using a quarter-car suspension model. First, the Youla Controller Output Observer framework is presented. It converts the estimation problem into a control problem and produces a Youla parameterized controller as observer. Second, a Kalman filter approach is taken and the input estimation problem is addressed with an Unbiased Minimum Variance Filter. Both methods use accelerometer and suspension deflection sensors to determine the vehicle normal force. The design of the observers is validated in simulation and a sensitivity analysis is performed to evaluate their robustness. |
| first_indexed | 2024-03-10T12:05:04Z |
| format | Article |
| id | doaj.art-c075ef60bbef4f82965afeaf33755fa2 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T12:05:04Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-c075ef60bbef4f82965afeaf33755fa22023-11-21T16:42:24ZengMDPI AGEnergies1996-10732021-04-01149237810.3390/en14092378Estimation of Tire Normal Forces including Suspension DynamicsLouis Filipozzi0Francis Assadian1Ming Kuang2Rajit Johri3Jose Velazquez Alcantar4Department of Mechanical and Aerospace Engineering, University of California, Davis, CA 95616, USADepartment of Mechanical and Aerospace Engineering, University of California, Davis, CA 95616, USAAdvanced Research and Engineering, Ford Motor Company, Dearborn, MI 48126, USAAdvanced Research and Engineering, Ford Motor Company, Dearborn, MI 48126, USAAdvanced Research and Engineering, Ford Motor Company, Dearborn, MI 48126, USATire normal forces are difficult to measure, but information on the vehicle normal force can be used in many automotive engineering applications, e.g., rollover detection and vehicle and wheel stability. Previous papers use algebraic equations to estimate the tire normal force. In this article, the estimation of tire normal force is formulated as an input estimation problem. Two observers are proposed to solve this problem by using a quarter-car suspension model. First, the Youla Controller Output Observer framework is presented. It converts the estimation problem into a control problem and produces a Youla parameterized controller as observer. Second, a Kalman filter approach is taken and the input estimation problem is addressed with an Unbiased Minimum Variance Filter. Both methods use accelerometer and suspension deflection sensors to determine the vehicle normal force. The design of the observers is validated in simulation and a sensitivity analysis is performed to evaluate their robustness.https://www.mdpi.com/1996-1073/14/9/2378normal force estimationunbiased minimum variance estimationcontroller output observeryoula parameterization |
| spellingShingle | Louis Filipozzi Francis Assadian Ming Kuang Rajit Johri Jose Velazquez Alcantar Estimation of Tire Normal Forces including Suspension Dynamics Energies normal force estimation unbiased minimum variance estimation controller output observer youla parameterization |
| title | Estimation of Tire Normal Forces including Suspension Dynamics |
| title_full | Estimation of Tire Normal Forces including Suspension Dynamics |
| title_fullStr | Estimation of Tire Normal Forces including Suspension Dynamics |
| title_full_unstemmed | Estimation of Tire Normal Forces including Suspension Dynamics |
| title_short | Estimation of Tire Normal Forces including Suspension Dynamics |
| title_sort | estimation of tire normal forces including suspension dynamics |
| topic | normal force estimation unbiased minimum variance estimation controller output observer youla parameterization |
| url | https://www.mdpi.com/1996-1073/14/9/2378 |
| work_keys_str_mv | AT louisfilipozzi estimationoftirenormalforcesincludingsuspensiondynamics AT francisassadian estimationoftirenormalforcesincludingsuspensiondynamics AT mingkuang estimationoftirenormalforcesincludingsuspensiondynamics AT rajitjohri estimationoftirenormalforcesincludingsuspensiondynamics AT josevelazquezalcantar estimationoftirenormalforcesincludingsuspensiondynamics |