基于多目标优化的变权重车辆ACC系统的设计

Design of Variable Weight Vehicle ACC System Based on Multi-Objective Optimization

由于在不同行车环境下要求的性能指标不同,使得传统的参数固定自适应巡航控制器的应用受到限制,因此提出一种变权重的控制策略。基于模型预测控制原理,综合考虑安全性、舒适性、燃油经济性等控制目标,并通过分析车辆间的危险程度,采用模糊推理得到跟车性在控制目标中的权重大小,实现变权重的自适应巡航控制系统设计。通过与固定参数的普通控制器仿真对比,本策略能够面对复杂的行驶工况,在一定程度上提升了系统的适应性和安全性。

Due to the different performance requirements in different driving environments, the application of traditional parameter-fixed adaptive cruise controller is limited, so a variable weight control strategy is proposed. Based on the principle of model predictive control, the control objectives of safety, comfort and fuel economy are considered comprehensively, by analyzing the dangerous degree between vehicles, the weight of following weight in control objectives is realized by using fuzzy reasoning, and the design of adaptive cruise control system with variable weight is realized. By comparing with the simulation of the general controller with fixed parameters, this strategy can improve the adaptability and security of the system to a certain extent in the face of complex driving conditions.