Optimal Coordinated Control of Active Front Steering and Direct Yaw Moment for Distributed Drive Electric Bus
This paper suggests a hierarchical coordination control strategy to enhance the stability of distributed drive electric bus. First, an observer based on sliding mode observer (SMO) and adaptive neural fuzzy inference system (ANFIS) was designed to estimate the vehicle state parameters. Then the uppe...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Machines |
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| Online Access: | https://www.mdpi.com/2075-1702/11/6/640 |
| _version_ | 1827736665713541120 |
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| author | Jiming Lin Teng Zou Liang Su Feng Zhang Yong Zhang |
| author_facet | Jiming Lin Teng Zou Liang Su Feng Zhang Yong Zhang |
| author_sort | Jiming Lin |
| collection | DOAJ |
| description | This paper suggests a hierarchical coordination control strategy to enhance the stability of distributed drive electric bus. First, an observer based on sliding mode observer (SMO) and adaptive neural fuzzy inference system (ANFIS) was designed to estimate the vehicle state parameters. Then the upper layer of the strategy primarily focuses on coordinating active front steering (AFS) and direct yaw moment control (DYC). The phase plane method is utilized in this layer to provide an assessment basis for the switching control safety of AFS and DYC. The lower layer of the strategy designs an integral terminal sliding mode controller (ITSMC) and a non-singular fast terminal sliding mode controller (NFTSMC) to obtain the optimal additional front wheel steering angle to improve handling performance. A fuzzy sliding mode controller (FSMC) is also proposed to obtain additional yaw moment to ameliorate yaw stability. Finally, the strategy proposed in this paper is subjected to simulation testing and compared with the performance of AFS and DYC systems. The proposed strategy is also evaluated for tracking errors in sideslip angle and yaw rate under two conditions. The results demonstrate that the proposed strategy can effectively adapt to various extreme environments and improve the maneuvering and yaw stability of the bus. |
| first_indexed | 2024-03-11T02:13:36Z |
| format | Article |
| id | doaj.art-8c2a1b4a66ac48599170687f047dbe64 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-11T02:13:36Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-8c2a1b4a66ac48599170687f047dbe642023-11-18T11:20:58ZengMDPI AGMachines2075-17022023-06-0111664010.3390/machines11060640Optimal Coordinated Control of Active Front Steering and Direct Yaw Moment for Distributed Drive Electric BusJiming Lin0Teng Zou1Liang Su2Feng Zhang3Yong Zhang4College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, ChinaCollege of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, ChinaXiamen King Long United Automotive Industry Company, Xiamen 361006, ChinaCollege of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, ChinaCollege of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, ChinaThis paper suggests a hierarchical coordination control strategy to enhance the stability of distributed drive electric bus. First, an observer based on sliding mode observer (SMO) and adaptive neural fuzzy inference system (ANFIS) was designed to estimate the vehicle state parameters. Then the upper layer of the strategy primarily focuses on coordinating active front steering (AFS) and direct yaw moment control (DYC). The phase plane method is utilized in this layer to provide an assessment basis for the switching control safety of AFS and DYC. The lower layer of the strategy designs an integral terminal sliding mode controller (ITSMC) and a non-singular fast terminal sliding mode controller (NFTSMC) to obtain the optimal additional front wheel steering angle to improve handling performance. A fuzzy sliding mode controller (FSMC) is also proposed to obtain additional yaw moment to ameliorate yaw stability. Finally, the strategy proposed in this paper is subjected to simulation testing and compared with the performance of AFS and DYC systems. The proposed strategy is also evaluated for tracking errors in sideslip angle and yaw rate under two conditions. The results demonstrate that the proposed strategy can effectively adapt to various extreme environments and improve the maneuvering and yaw stability of the bus.https://www.mdpi.com/2075-1702/11/6/640state estimationcoordinated controlAFSDYChierarchical control |
| spellingShingle | Jiming Lin Teng Zou Liang Su Feng Zhang Yong Zhang Optimal Coordinated Control of Active Front Steering and Direct Yaw Moment for Distributed Drive Electric Bus Machines state estimation coordinated control AFS DYC hierarchical control |
| title | Optimal Coordinated Control of Active Front Steering and Direct Yaw Moment for Distributed Drive Electric Bus |
| title_full | Optimal Coordinated Control of Active Front Steering and Direct Yaw Moment for Distributed Drive Electric Bus |
| title_fullStr | Optimal Coordinated Control of Active Front Steering and Direct Yaw Moment for Distributed Drive Electric Bus |
| title_full_unstemmed | Optimal Coordinated Control of Active Front Steering and Direct Yaw Moment for Distributed Drive Electric Bus |
| title_short | Optimal Coordinated Control of Active Front Steering and Direct Yaw Moment for Distributed Drive Electric Bus |
| title_sort | optimal coordinated control of active front steering and direct yaw moment for distributed drive electric bus |
| topic | state estimation coordinated control AFS DYC hierarchical control |
| url | https://www.mdpi.com/2075-1702/11/6/640 |
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