Affiliation:
1. Hanyang University School of Mechanical Engineering Seoul, Korea
2. Hyundai Motor Company Kyunggi-Do, Korea
Abstract
This paper describes intelligent cruise control (ICC) laws for passenger vehicles. ICC systems consist of a vehicle detection sensor, a controller and throttle/brake actuators. For the control of a throttle/brake system, a solenoid valve controlled electronic vacuum booster (EVB) and a step motor controlled throttle actuator have been used. A non-linear computer model for the electronic vacuum booster has been developed and the simulations were performed using a complete non-linear vehicle model. The proposed control law in this paper consists of an algorithm that generates the desired acceleration/deceleration profile in an ICC situation, a throttle/brake switching logic and a throttle/brake control algorithm. The control performance has been investigated through computer simulations and vehicle tests. The test vehicle is equipped with a millimetre wave radar distance sensor, an Intel 80C196 controller, a solenoid valve controlled EVB and a step motor controlled throttle actuator. The results indicate that the proposed throttle/brake control laws can provide satisfactory vehicle-to-vehicle distance and velocity control performance.
Subject
Mechanical Engineering,Aerospace Engineering
Cited by
23 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Fuzzy based brake lever effect in authentication of power brake boosters;5TH INTERNATIONAL CONFERENCE ON INNOVATIVE DESIGN, ANALYSIS & DEVELOPMENT PRACTICES IN AEROSPACE & AUTOMOTIVE ENGINEERING: I-DAD’22;2023
2. ADAS Technology Classifications Using a Modified Agile Process;2022 International Arab Conference on Information Technology (ACIT);2022-11-22
3. RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning;Proceedings of the 31st ACM International Conference on Information & Knowledge Management;2022-10-17
4. How to take speed decisions consistent with the available sight distance using an intelligent speed adaptation system;Accident Analysis & Prevention;2022-09
5. Self-Learning Optimal Cruise Control Based on Individual Car-Following Style;IEEE Transactions on Intelligent Transportation Systems;2021-10