弹道
跟踪(教育)
控制理论(社会学)
控制器(灌溉)
最优控制
燃料效率
轨迹优化
模型预测控制
计算机科学
控制工程
控制(管理)
工程类
汽车工程
数学优化
数学
人工智能
物理
天文
生物
教育学
心理学
农学
作者
Jinyong Shangguan,Ming Yue,Chao Fang,Lie Guo
摘要
Most of the existing trajectory tracking control strategies for vehicles aim at achieving high tracking accuracy but ignore energy consumption and road geometry. This paper proposes a fuel economy-oriented trajectory tracking control strategy for plug-in hybrid electric buses to improve fuel economy while ensuring tracking accuracy under different road geometries in the real world. First, a reference trajectory is reconstructed for trajectory tracking control to simulate the road geometry in real world. Next, a tracking controller based on model predictive control and proportional–integral control is developed to track the reference trajectory. Finally, an optimal control strategy with target preview method based on Pontryagin's minimum principle is developed to achieve the optimal fuel economy while tracking the trajectory. Simulation results illustrate that the proposed control strategy can realize not only excellent trajectory tracking performance but also optimal fuel economy.
科研通智能强力驱动
Strongly Powered by AbleSci AI