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Design of Smart Car ServosystemBased on Camera

机译:在相机上设计智能车伺服系统基础

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摘要

To depend on the development platform of the smart car contest, a smart car servosystem, based on Freescale 16-bit HCS12 micro-controller MC9S12XS128, is designed in this paper. The system uses the low-power CMOS digital camera OV6620 to obtain the real-time track information, and extracts the black line on the contest lane with the edge detection method to calculate the position deviation between the car and the black line, with the purpose of distinguishing the different shape of the lane. The nonlinear PD control algorithm for the steering control was given in this paper. Through the photo electrical encoder named YZ30D4S-2NA-200 to attain the real-time car speed, the system uses the nonlinear P strategy to achieve the speed closed-loop control. It is proved that the servosystem can achieve the automatic line patrol control, so as to make the smart car drive stably and quickly.
机译:为了依赖智能汽车竞赛的开发平台,基于Freescale 16位HCS12微控制器MC9S12X128的智能汽车伺服系统采用本文设计。该系统采用低功耗CMOS数码相机OV6620获取实时轨道信息,并用边缘检测方法提取竞争通道上的黑线,以计算汽车与黑线之间的位置偏差,具有目的区分车道的不同形状。本文给出了转向控制的非线性PD控制算法。通过名为YZ30D4S-2NA-200的照片电气编码器来实现实时汽车速度,系统使用非线性P策略来实现速度闭环控制。事实证明,伺服系统可以实现自动线路巡逻控制,以便使智能汽车稳定而快速。

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