| 基于双排光电传感器的智能车控制策略研究 |
| |
| 引用本文： | 孔勐,倪世佳,范程华,石荣斌.基于双排光电传感器的智能车控制策略研究[J].安徽教育学院学报,2013(6):21-24. |
| |
| 作者姓名： | 孔勐 倪世佳 范程华 石荣斌 |
| |
| 作者单位： | 合肥师范学院电子信息工程学院,安徽合肥230601 |
| |
| 基金项目： | 国家级大学生创新创业训练计划项目（201214098011）;安徽省高等学校教学研究重点项目（2012jyxm421）;合肥师范学院重点科研基地科研项目（2012jd14）;合肥师范学院开放实验室项目（2012-04） |
| |
| 摘 要： | 针对传统光电循迹智能车检测范围窄、路径预测困难的问题,在固定的单排传感器基础上,增加一排随动摇头传感器,扩大其路径识别范围.根据传感器扫描结果,提出一种基于自动识别路径曲率半径的优化算法,实现小车对舵机转角及过弯最大运行速度的控制.实验结果表明,采用双排传感器的控制方案增大了智能车的视觉范围,有效提高了其循迹行驶速度及稳定性.
|
| 关 键 词： | 智能车 循迹 双排光电传感器 曲率半径 |
Control Strategy of Tracing Smart Car with Double Photoelectric Sensor |
| |
| Institution: | SONG Ya-qing (Department of Mathematics, He f ei Normal University, He f ei 230601,China) |
| |
| Abstract: | In view ot the complexity ano the data of energy consumption from 1994 to 2011 in Anhui province, this paper established quadratic poly nomial model, gray forecast model and time series model respectively, and made a statistical test and com parative analysis for each model Secondly, under the criteria of the minimum square error, distributing the weights to establish the comhinatioa forecast model, the results showed that the accuracy of combina tion forecast model was better than the individual prediction model, so this model could be used to forecast future energy consumption in Anhui province. Finally, the model was used to forecast Anhui energy con sumption in the next four years. |
| |
| Keywords: | quadratic polynomial gray forecast time series combination forecast |
| 本文献已被 维普 等数据库收录！ |
|
