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基于红外光电传感器的智能小车控制算法设计
引用本文:杨宁,薛林亭,王博,朱国伟. 基于红外光电传感器的智能小车控制算法设计[J]. 上海电力学院学报, 2012, 28(1): 59-62
作者姓名:杨宁  薛林亭  王博  朱国伟
作者单位:[1]上海电力学院电力与自动化工程学院,上海200090 [2]华能井冈山电厂,江西井冈山343009
基金项目:国家自然科学基金(60801056); 上海市青年科技启明星计划(11QA1402800); 上海市教育委员会科技创新重点项目(11ZZ170)
摘    要:设计了智能车的整体软件系统.采用红外光电传感器和光电编码器分别进行道路信息与小车速度的采集,同时采用模糊控制算法和棒-棒算法分别对智能车的转向舵机和驱动电机进行控制.整个软件系统具有控制灵活、响应速度快、超调量小、鲁棒性强等优点.

关 键 词:智能小车  红外光电传感器  模糊控制算法
收稿时间:2011-07-05

Control Algorithm Design of Smart Car Based on Infrared Optical Sensors
YANG Ning,XUE Lin-ting,WANG Bo and ZHU Guo-wei. Control Algorithm Design of Smart Car Based on Infrared Optical Sensors[J]. Journal of Shanghai University of Electric Power, 2012, 28(1): 59-62
Authors:YANG Ning  XUE Lin-ting  WANG Bo  ZHU Guo-wei
Affiliation:1. School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China; 2. HuaNeng Jinggangshan Electric Plant ,Jinggangshan 343009, China)
Abstract:The entire software system for smart car is designed. The road information and the speed of the car are collected separately by using infrared optical sensors and optical encoders. The steering servo and driving motor of the smart car separately are controlled by using fuzzy control and Bang- Bang algorithm. The entire software has the advantage of flexible control, fast response, little overshoot and bigger robustness etc.
Keywords:smart car  infrared optical sensor  fuzzy control algorithm
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