节气门
控制理论(社会学)
加速度
模型预测控制
控制器(灌溉)
估计员
电动汽车
前馈
理论(学习稳定性)
计算机科学
工程类
控制(管理)
控制工程
汽车工程
数学
物理
人工智能
功率(物理)
机器学习
统计
生物
经典力学
量子力学
农学
作者
Yijing Wang,Yuxiang Deng,Haoyu Wang,Zhiqiang Zuo
摘要
Abstract In this paper, a longitudinal control strategy in terms of model predictive control (MPC) and mass estimator is investigated for an autonomous electric vehicle (AEV). A driving force table (DFT) is established to represent the relationship among throttle opening, speed, and driving force. A mass estimator is designed to obtain the actual mass of AEV. An MPC‐based controller with constraints is suggested to get the desired acceleration. Moreover, a feedforward controller is developed to calculate the throttle opening directly. Both the iterative feasibility and stability of the MPC are ensured. The experimental results are given to show the effectiveness of our strategy with mass estimator.
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