In order to take into account the tracking control effect and real-time performance of vehicle adaptive cruise control (ACC), a multi-objective control method based on explicit model predictive control (EMPC) is proposed; First, the model of adaptive cruise control is established. According to the predictive control theory, the multi-objective function and constraints of vehicle’s safety, tracking, economy and comfort are determined. Based on the multi parameter programming theory, the closed-loop model predictive control system based on repeated online optimization calculation is transformed into an equivalent explicit polyhedral piecewise affine (PWA) system. The optimal control law between the desired acceleration and the state variables is obtained by off-line calculation. Then the adaptive cruise control is realized by locating the current state zone and applying the explicit control law of the zone. The longitudinal tracking simulation results show that the designed control strategy has good tracking effect.


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    Title :

    Adaptive Cruise Control for Intelligent Electric Vehicles Based on Explicit Model Predictive Control


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Jia, Yingmin (editor) / Zhang, Weicun (editor) / Fu, Yongling (editor) / Yu, Zhiyuan (editor) / Zheng, Song (editor) / Ruan, Shumin (author) / Ma, Yue (author) / Yan, Qi (author)


    Publication date :

    2021-10-08


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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