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Research on Model Predictive Control for Automobile Active Tilt Based on Active Suspension

Author

Listed:
  • Jialing Yao

    (College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China
    Department of Automotive Engineering, Clemson University, Greenville, SC 29607, USA)

  • Meng Wang

    (College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Zhihong Li

    (College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Yunyi Jia

    (Department of Automotive Engineering, Clemson University, Greenville, SC 29607, USA)

Abstract

To improve the handling stability of automobiles and reduce the odds of rollover, active or semi-active suspension systems are usually used to control the roll of a vehicle. However, these kinds of control systems often take a zero-roll-angle as the control target and have a limited effect on improving the performance of the vehicle when turning. Tilt control, which actively controls the vehicle to tilt inward during a curve, greatly benefits the comprehensive performance of a vehicle when it is cornering. After analyzing the advantages and disadvantages of the tilt control strategies for narrow commuter vehicles by combining the structure and dynamic characteristics of automobiles, a direct tilt control (DTC) strategy was determined to be more suitable for automobiles. A model predictive controller for the DTC strategy was designed based on an active suspension. This allowed the reverse tilt to cause the moment generated by gravity to offset that generated by the centrifugal force, thereby significantly improving the handling stability, ride comfort, vehicle speed, and rollover prevention. The model predictive controller simultaneously tracked the desired tilt angle and yaw rate, achieving path tracking while improving the anti-rollover capability of the vehicle. Simulations of step-steering input and double-lane change maneuvers were performed. The results showed that, compared with traditional zero-roll-angle control, the proposed tilt control greatly reduced the occupant’s perceived lateral acceleration and the lateral load transfer ratio when the vehicle turned and exhibited a good path-tracking performance.

Suggested Citation

  • Jialing Yao & Meng Wang & Zhihong Li & Yunyi Jia, 2021. "Research on Model Predictive Control for Automobile Active Tilt Based on Active Suspension," Energies, MDPI, vol. 14(3), pages 1-18, January.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:671-:d:488868
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    References listed on IDEAS

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    1. R. Rajamani & J. Gohl & L. Alexander & P. Starr, 2003. "Dynamics of Narrow Tilting Vehicles," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 9(2), pages 209-231, June.
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    Cited by:

    1. Daniel Rodriguez-Guevara & Antonio Favela-Contreras & Francisco Beltran-Carbajal & David Sotelo & Carlos Sotelo, 2021. "Active Suspension Control Using an MPC-LQR-LPV Controller with Attraction Sets and Quadratic Stability Conditions," Mathematics, MDPI, vol. 9(20), pages 1-17, October.
    2. Marek Wozniak & Krzysztof Siczek & Gustavo Ozuna & Przemyslaw Kubiak, 2021. "A Study on Wear and Friction of Passenger Vehicles Control Arm Ball Joints," Energies, MDPI, vol. 14(11), pages 1-29, June.
    3. Jianxu Zhu & Dingxuan Zhao & Shuang Liu & Zilong Zhang & Guangyu Liu & Jinming Chang, 2022. "Integrated Control of Spray System and Active Suspension Systems Based on Model-Assisted Active Disturbance Rejection Control Algorithm," Mathematics, MDPI, vol. 10(18), pages 1-17, September.
    4. Habib Benbouhenni & Nicu Bizon, 2021. "Improved Rotor Flux and Torque Control Based on the Third-Order Sliding Mode Scheme Applied to the Asynchronous Generator for the Single-Rotor Wind Turbine," Mathematics, MDPI, vol. 9(18), pages 1-16, September.
    5. Daniel Rodriguez-Guevara & Antonio Favela-Contreras & Francisco Beltran-Carbajal & Carlos Sotelo & David Sotelo, 2023. "A Differential Flatness-Based Model Predictive Control Strategy for a Nonlinear Quarter-Car Active Suspension System," Mathematics, MDPI, vol. 11(4), pages 1-14, February.

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