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Adaptive Cruise Control Strategy Design with Optimized Active Braking Control Algorithm

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  • Wenguang Wu
  • Debiao Zou
  • Jian Ou
  • Lin Hu

Abstract

The braking quality is considered as the most important performance of the adaptive control system that influences the vehicle safety and ride comfort remarkably. This research is aimed at designing an adaptive cruise control (ACC) system based on active braking algorithm using hierarchical control. Taking into account the vehicle with safety and comfort, the upper decision-making controller is designed based on model predictive control algorithm. Throttle controller and braking controller are designed with feedforward and feedback algorithms as the bottom controller, where the braking controller is designed based on the hydraulic braking model. The whole model is simulated collaboratively with Amesim, Carsim, and Simulink. By comparison with the full deceleration model, the results show that the proposed algorithm can not only make the vehicle maintain a safe distance under the premise of following the target vehicle ahead effectively but also provide favorable driving comfort.

Suggested Citation

  • Wenguang Wu & Debiao Zou & Jian Ou & Lin Hu, 2020. "Adaptive Cruise Control Strategy Design with Optimized Active Braking Control Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-10, July.
    • Handle: RePEc:hin:jnlmpe:8382734
    DOI: 10.1155/2020/8382734
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    Cited by:

    1. Tingting Wang & Mengjian Wang & Xia Li & Dongchen Qin, 2021. "Multidisciplinary Lightweight Optimization for Front Impact Structure of Body Frame Based on Active and Passive Safety," Mathematics, MDPI, vol. 9(8), pages 1-20, April.

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