摘要
设计了一种基于自适应权重PID和激光测距的斯特林智能车控制系统,通过自适应权重PID控制算法进行循迹,利用激光测距模块进行避障算法路径规划处理,利用OpenMv智能摄像头进行颜色识别,完成循迹避障循环任务。并通过simulink仿真以及搭建测试赛道,并对系统基本性能进行了实际测试。结果表明,该系统满足自动控制系统稳定性、快速性、准确性的特点,具有良好的稳态特性及动态响应,可以应用于电子测量以及智能控制领域,具有理论研究意义和实际应用价值。
This paper designs a stirling intelligent vehicle control system based on adaptive weight PID and laser ranging.it uses adaptive weight PID control algorithm for tracking,laser ranging module for obstacle avoidance algorithm path planning,and OpenMv intelligent camera for color identification to complete tracking and obstacle avoidance cycle tasks.Through simulink simulation and test circuit construction,the basic performance of the system was actually tested.The results show that the system meets the characteristics of stability,rapidity and accuracy of automatic control system,has good steady-state characteristics and dynamic response,can be applied to the fields of electronic measurement and intelligent control,and has theoretical research significance and practical application value.
作者
李玉衡
李雨佳
饶启明
易映萍
姚磊
Li Yuheng;Li Yujia;Rao Qiming;Yi Yingping;Yao Lei(School of Mechanical Engineering,Shanghai University of Technology,Shanghai 200093,China)
出处
《电子测量技术》
2020年第13期1-6,共6页
Electronic Measurement Technology
基金
国家重点研发计划(2018YFB0106300)项目资助。
关键词
循迹避障
斯特林自控车
自适应权重PID算法
图像处理
following the track to avoid obstacles
Stirling autonomous vehicle
adaptive weight PID algorithm
image processing