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模糊控制算法优化的车辆避障操控系统
资料介绍
以ATmega2560微控制器作为嵌入式硬件平台,结合模糊控制算法设计并实现了汽车避障。利用超声波传感器对障碍物进行检测,根据行车速度利用优化的模糊控制算法实时判断安全距离,实现小车的转向等避障操作,并在紧急情况下可实现制动减速或停车控制。本文将车辆避障操作系统嵌入到小车中,在实验室条件下完成避障的模拟实验,取得了较好的成果,验证了避障系统的实用性,为车辆的运行安全提供了新的保障,同时也为无人驾驶汽车的研制提供了新的思路。
In the paper,ATmega2560 is used as embedded hardware platform and fuzzy control algorithm is used to design and implement vehicle obstacle avoidance.The ultrasonic sensor detects the obstacle,and the optimized fuzzy control algorithm is used to judge the safety distance in real time according to the driving speed,realizes the steering and other obstacle avoidance operation of the vehicle,and can realize the braking deceleration or stopping control in the emergency situation.In this paper,the vehicle obstacle avoidance operating system is embedded into the vehicle,and the simulation experiment of obstacle avoidance is completed in the laboratory,and good results are obtained.The practical model of obstacle avoidance system is verified,which provides a new guarantee for the running safety of vehicles and a new way of thinking for the development of driver less vehicles.
部分文件列表
| 文件名 | 大小 |
| 模糊控制算法优化的车辆避障操控系统.pdf | 2M |
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