Research On Adaptive Cruise Control Algorithm For Commercial Vehicles Based On Multiobjective Optimization

Adaptive Cruise Control(ACC)is an advanced driving assistance system that can sense changes in the vehicle’s surroundings and automatically adjust the speed and distance,which can improve driving comfort and safety.ACC systems are widely used in commercial vehicles.However,the current ACC system still faces the problem of insufficient adaptability to complex working conditions,for example,when following the vehicle in front,the emergency braking of the vehicle in front or the sudden cut-in of the next vehicle may cause the ACC system to fail to make reasonable control feedback in time,thus endangering driving safety.Therefore,it is necessary to further research and optimize the ACC control strategy for commercial vehicles to improve its adaptability and reliability and achieve a safer and more comfortable driving experience.To address the above problems,this paper proposes a multi-objective optimization-based ACC control strategy for commercial vehicles,which uses a fuzzy control algorithm to assign the weight coefficients of each performance index in real time to adapt to different driving conditions.It can ensure that the commercial vehicle can consider safety,following,comfort and fuel economy in the process of ACC driving.The specific research of this paper is as follows:(1)A hierarchical control structure for an adaptive cruise control system is proposed.The fixed speed cruise controller is established based on PID,and the safe distance model of fixed workshop time distance is determined by analyzing the existing safe distance algorithm.The fixed speed cruise and follow cruise functions are analyzed,the functional mode switching logic of the adaptive cruise control system is studied,the lower level controller of the adaptive cruise control system is designed based on the vehicle longitudinal dynamics model,and the boundary of the driving brake buffer area is determined by polynomial fitting curve.(2)A multi-objective optimization-based adaptive cruise upper control algorithm for commercial vehicles is proposed.The safety,following,fuel economy and comfort of the vehicle during driving are taken as performance indicators,and the corresponding constraints,such as speed limit and acceleration limit,are also considered.In addition,the algorithm uses a fuzzy control algorithm to update the weight coefficients of safety and comfort in real time to adapt to the preferences of different indicators under different driving situations.(3)The verification analysis of the adaptive cruise control algorithm under typical driving conditions is carried out.Based on a certain commercial vehicle of a car company,we build a Truck Sim vehicle model and establish a joint simulation platform with Simulink.The fixed speed cruise control system designed in this paper is verified in the fixed speed cruise condition;the following cruise control system designed in this paper is verified in the three conditions of bystander cut-in,following cruise and front cut-out.