Development and Validation of Electronic Stability Control System Algorithm Based on Tire Force Observation
In view of the higher and higher assembly rate of the electronic stability control system (ESC in short), the control accuracy still needs to be improved. In order to make up for the insufficient accuracy of the tire model in the nonlinear area of the tire, in this paper, an algorithm for the electr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/23/8741 |
| _version_ | 1827700685817249792 |
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| author | Dang Lu Yao Ma Hengfeng Yin Zhihui Deng Jiande Qi |
| author_facet | Dang Lu Yao Ma Hengfeng Yin Zhihui Deng Jiande Qi |
| author_sort | Dang Lu |
| collection | DOAJ |
| description | In view of the higher and higher assembly rate of the electronic stability control system (ESC in short), the control accuracy still needs to be improved. In order to make up for the insufficient accuracy of the tire model in the nonlinear area of the tire, in this paper, an algorithm for the electronic stability control system based on the control of tire force feedforward used in conjunction with tire force sensors is proposed. The algorithm takes into consideration the lateral stability of the tire under extreme conditions affected by the braking force. We use linear optimal control to determine the optimal yaw moment, and obtain the brake wheel cylinder pressure through an algorithm combining feedforward compensation based on measured tire force and feedback correction. The controller structure is divided into two layers, the upper layer is controlled by a linear quadratic regulator (LQR in short) and the lower layer is controlled by PID (Proportional-integral-derivative) and feedforward. After that, verification of the controller’s algorithms using software cosimulation and hardware-in-the-loop (HIL in short) testing in the double lane change (DLC in short) and sine with dwell (SWD in short) conditions. From the test results it can be concluded that the controller based on tire force observation has partially control advantages. |
| first_indexed | 2024-03-10T14:17:30Z |
| format | Article |
| id | doaj.art-6cd102c232da41728e14be49c01c1ace |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T14:17:30Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-6cd102c232da41728e14be49c01c1ace2023-11-20T23:42:11ZengMDPI AGApplied Sciences2076-34172020-12-011023874110.3390/app10238741Development and Validation of Electronic Stability Control System Algorithm Based on Tire Force ObservationDang Lu0Yao Ma1Hengfeng Yin2Zhihui Deng3Jiande Qi4State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, ChinaSAIC-GM-Wuling Automobile, Liuzhou 545007, ChinaIn view of the higher and higher assembly rate of the electronic stability control system (ESC in short), the control accuracy still needs to be improved. In order to make up for the insufficient accuracy of the tire model in the nonlinear area of the tire, in this paper, an algorithm for the electronic stability control system based on the control of tire force feedforward used in conjunction with tire force sensors is proposed. The algorithm takes into consideration the lateral stability of the tire under extreme conditions affected by the braking force. We use linear optimal control to determine the optimal yaw moment, and obtain the brake wheel cylinder pressure through an algorithm combining feedforward compensation based on measured tire force and feedback correction. The controller structure is divided into two layers, the upper layer is controlled by a linear quadratic regulator (LQR in short) and the lower layer is controlled by PID (Proportional-integral-derivative) and feedforward. After that, verification of the controller’s algorithms using software cosimulation and hardware-in-the-loop (HIL in short) testing in the double lane change (DLC in short) and sine with dwell (SWD in short) conditions. From the test results it can be concluded that the controller based on tire force observation has partially control advantages.https://www.mdpi.com/2076-3417/10/23/8741observation of tire forceelectronic stability control systemcontrol algorithm |
| spellingShingle | Dang Lu Yao Ma Hengfeng Yin Zhihui Deng Jiande Qi Development and Validation of Electronic Stability Control System Algorithm Based on Tire Force Observation Applied Sciences observation of tire force electronic stability control system control algorithm |
| title | Development and Validation of Electronic Stability Control System Algorithm Based on Tire Force Observation |
| title_full | Development and Validation of Electronic Stability Control System Algorithm Based on Tire Force Observation |
| title_fullStr | Development and Validation of Electronic Stability Control System Algorithm Based on Tire Force Observation |
| title_full_unstemmed | Development and Validation of Electronic Stability Control System Algorithm Based on Tire Force Observation |
| title_short | Development and Validation of Electronic Stability Control System Algorithm Based on Tire Force Observation |
| title_sort | development and validation of electronic stability control system algorithm based on tire force observation |
| topic | observation of tire force electronic stability control system control algorithm |
| url | https://www.mdpi.com/2076-3417/10/23/8741 |
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