Research on Obstacle Avoidance Method of Intelligent Car Based on Optimized Fuzzy Control Algorithm

In order to realize the accurate obstacle avoidance function of intelligent car, we propose an intelligent car obstacle avoidance system based on optimized fuzzy control algorithm. Firstly, the kinematics model of intelligent car obstacle avoidance is established, and an efficient environment information collection system composed of multiple sensors is designed to realize the comprehensive collection of obstacle information. Then, the optimized fuzzy control system is adopted to improve the position control accuracy and obstacle avoidance ability. Through the physical debugging and joint simulation of the intelligent car fuzzy controller in the MATLAB and Simulink environment, the simulation results show that the control method can make the collision-free path planned by the intelligent car from the initial state to the obstacle avoidance smoother, and at the same time, the obstacle avoidance of the intelligent car. The actual running distance is reduced by about 16%, which can ensure the practicability of the obstacle avoidance system, provide a new guarantee for the safe operation of the car, and also provide a new idea for the development of the unmanned car.

Research on Obstacle Avoidance Method of Intelligent Car Based on Optimized Fuzzy Control Algorithm

In order to realize the accurate obstacle avoidance function of intelligent car, we propose an intelligent car obstacle avoidance system based on optimized fuzzy control algorithm. Firstly, the kinematics model of intelligent car obstacle avoidance is established, and an efficient environment information collection system composed of multiple sensors is designed to realize the comprehensive collection of obstacle information. Then, the optimized fuzzy control system is adopted to improve the position control accuracy and obstacle avoidance ability. Through the physical debugging and joint simulation of the intelligent car fuzzy controller in the MATLAB and Simulink environment, the simulation results show that the control method can make the collision-free path planned by the intelligent car from the initial state to the obstacle avoidance smoother, and at the same time, the obstacle avoidance of the intelligent car. The actual running distance is reduced by about 16%, which can ensure the practicability of the obstacle avoidance system, provide a new guarantee for the safe operation of the car, and also provide a new idea for the development of the unmanned car.

智能网联汽车技术与标准发展研究

随着科学技术的快速发展,智能网联汽车也已经逐渐开始成为新时期下汽车发展的主要趋势,其主要是通过多种信息技术、智能终端设备等来实现车辆的智能化操作。其具有多个系统组成,主要包括车载通信系统、车载传感系统、车辆控制系统以及驾驶辅助系统等,其中包括车载检测系统、传感系统以及通讯系统等,还有一些其他的子系统构成。智能网联汽车也是通过智能化技术来对汽车的行驶进行控制,从而实现自动驾驶,进而实现自动化驾驶,减少交通事故发生概率。另外,智能网联汽车主要是通过人工智能以及互联网技术来实现对车辆的管理与控制,从而实现智能化的操作。

Synchronous line-tracking robots based on STM 32

A pair of synchronous line-tracking robots based on STM 32 are designed.Each robot is actually a small intelligent car with seven reflective infrared photoelectric sensors ST 188 installed in the front to track the line.Two rear wheels each driven by a moter are the driving wheels,while each moter is driven by an H-bridge circuit.The running direction is controlled by the turning of a servo fastened to the front wheel and the adjustment of speed difference between the rear wheels.Besides,the light-adaptive line-tracking can be performed.The speeds of the motors are controlled by adjusting pulse-width modulation(PWM)values and an angular displacement transducer is used to detect the relative position of the cars in real time.Thus,the speeds of the cars can be adjusted in time so that the synchronism of the cars can be achieved.Through experiments,the fast and accurate synchronous tracking can be well realized.

大秦玉龙煤炭集运站设计研究

针对近年来新建煤炭集运站在运行过程中存在的问题,结合山西大秦玉龙煤炭集运站设计实践,详细阐述了大型煤炭集运站厂址选择与建设规模确定、受煤工艺及系统布置、储(配)煤工艺及系统布置、装车方式及装车工艺系统布置及总平面布置的思路和方法,同时采用车辆自动识别系统、远程控制等新技术实现从受煤到储配煤及装车整个生产作业过程的自动化、智能化,达到安全环保高效,大幅降低生产成本。

铁路货车智能化总体方案与试验研究

本文介绍了国内外铁路货车智能化现状,并基于提高铁路线的运输能力、运输节点的工作效率、装备的安全性和降低运维成本等,以及传感技术、无线网络技术、云计算与边缘计算、大数据分析等技术的发展与逐渐成熟,论述了铁路货车智能化的必要性和可行性,提出智能化货车总体方案及关键技术。依托中国中车集团有限公司课题,在铁路货车制动和钩缓系统智能化中应用了车载智能监测系统的车辆网、列车网以及雾平台和云平台。进行了车钩纵向力、制动管压力传感器对比试验,认为满足设计任务书1%的精度要求。对试验列车进行的功能试验表明,可以实现系统的各项预定功能。在此基础上阐述了经济与社会效益,并展望了铁路货车智能化应用的未来前景。

基于物联网及自动位置识别技术的备煤智能化系统

以卸料小车的自动位置识别为基本手段,利用局部网络及互联网等通信技术把备煤、料场、配煤、卸料小车及传感器、控制器等设备联合在一起进行优化和集成,实现焦化备煤设备信息化、远程管理控制和智能化。

租车门店管理系统的设计与研究

通过对租车门店主要业务的分析,本文设计了一个租车门店管理系统,详述了其主要功能,这不仅会加强租车门店的管理,而且方便了客户和工作人员的使用,提高了租车门店的服务水平,有利于对租车门店的智能化建设,具有很大的使用价值。

120阀组装试验智能生产线的建设

智能制造技术已成为世界制造业发展的主要方向。但国内制动配件制造在智能制造方面基本上处于行业空白,以120阀为代表的铁路货车关键制动阀的组装试验长期以来都采用传统方式,自动化程度低,存在生产过程可控性较差、质量不稳定等问题。因此,为了提高制动配件制造的自动化、信息化、智能化水平,建设了国内首条120阀组装试验智能生产线。本文结合“120阀组装试验智能生产线”项目经验,从设备自动化和生产数据信息化两方面介绍了智能制造,并以此为背景阐述了120阀组装试验智能线的建设,包括自动化建设和信息化建设。通过建设120阀组装试验智能线,提高了生产效率,降低了劳动强度,节约了人工成本。