路程式智能车预期速度设定算法  

Expected Speed of Intelligent Vehicle Setting by Distance Algorithm

作　　者：张晓峰[1] 陆建丽[1] 高挺峰[1] 陈国定[1] 戴晓胜 

机构地区：[1]浙江工业大学信息工程学院,杭州310023

出　　处：《计算机系统应用》2015年第2期180-183,共4页Computer Systems & Applications

摘　　要：提出了一种智能车预期速度的设定算法——路程式设定法.针对现有的常用预期速度设定算法离散式设定法和连续式设定法存在的问题,即在预期速度给定量改变时前者易引起速度的震荡而后者实际输出存在一定的滞后性,此方案采用速度变化量正比于路程增量的方法,使小车在切换速度时能平稳过渡并快速调节到预期值,不引起震荡.实验结果表明,该方法比常用方法有更好的效果.This paper introduces an expected speed of intelligent vehicle setting algorithm called distance setting algorithm. Discrete setting algorithm and continuous setting algorithm, as conventional expected speed setting algorithm, both have problems. When the expected speed changes, the former one might cause speed oscillation and the latter one might have a delay output. Taking these problems into consideration, distance setting algorithm takes advantage of that the variation of speed is proportional to the increment of distance. This method could make a smooth speed transition and a quick adjustment to expected speed, avoiding oscillation. Experimental results show that this method has better performance than the conventional methods.

关 键 词：智能小车 动态性能 预期速度 路程式设定法 模糊PID控制器 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]