摘要
基于人类驾驶汽车经验,构建了模糊控制规则库。仿真结果表明,模糊逻辑控制策略对车速、道路曲率及初始偏差具有较强的适应性。与基于两点距离偏差的PI控制策略相比具有更小的累积距离偏差。
Based on human driving experience,a fuzzy control rule base is constructed.The simulation results show that the fuzzy logic control strategy has strong adaptability to vehicle speed,road curvature and initial deviation.Compared with PI control strategy based on two-point distance deviation,it has smaller cumulative distance deviation.
作者
芦勇
田贺
LU Yong;Tian He(State Key Laboratory of Automobile Safety and Energy Saving,Tsinghua University,Beijing 100084,China;Lianchuang Automotive Electronics Co.,Ltd,Shanghai,201206,China.)
出处
《电子技术（上海）》
2020年第2期50-51,共2页
Electronic Technology
基金
国家自然科学基金资助项目(1864203)。
关键词
控制系统
车道保持系统
工程实现
模糊逻辑
PI控制
control system
lane keeping system
engineering realization
fuzzy logic
PI control
