基于AGV平台的多品种混流装配智能调度与控制技术研究

发布时间：2018-01-05 16:28

本文关键词：基于AGV平台的多品种混流装配智能调度与控制技术研究　出处：《南京航空航天大学》2015年硕士论文　论文类型：学位论文

【摘要】：随着物流自动化技术的不断发展,自动导引小车(AGV,Automated Guided Vehicle)作为现代智能物流系统中的关键设备之一,在自动化物流系统中具有广阔的应用前景。同时随着AGV系统容量不断增大,系统调度与控制难度也随之增大。本文以AGV系统在混流装配系统中的应用作为研究背景,对AGV系统的智能调度和控制技术进行了以下研究:首先,从汽车混流装配管理特点和存在问题出发,分析了基于AGV平台的智能调度控制系统的需求,设计了一种基于AGV平台的混合式系统结构。其次,分析和研究了自动识别技术和AGV系统现有的定位方法,采用RFID和条码技术结合的自动识别方法,提出一种基于RFID和里程计相结合的AGV定位方法。采用RFID技术确定AGV所在的路径段,采用里程计方式实现相对定位技术,从而估算AGV在路径段内的位置,为远程智能监控单元提供AGV的实时位置数据。然后,针对混流作业车间中物料配送AGV调度问题,构建以AGV配送物料完成时间最短为目标的物料配送AGV调度优化模型,并提出一种改进的遗传算法进行求解,最后通过实例证明了所提方法的有效性。最后,在理论研究的基础上,开发了基于AGV平台的智能调度控制系统,主要包括高层调度控制单元和车载调度规划器,提出基于任务优先级和路径容量的交通管控策略。最后将本文所提方法应用于江苏天奇物流自动化公司汽车发动机合装系统中,验证了本文所开发系统的有效性。
[Abstract]:With the continuous development of logistics automation technology, automatic guided vehicle (AGV Automated, Guided Vehicle) as one of the key equipment of modern intelligent logistics system, has broad application prospects in the automated logistics system. At the same time as the AGV system capacity is increasing, the difficulty of scheduling and control system also increases. In this paper the application of AGV system in Francis in the assembly system as the research background, intelligent scheduling and control technology of AGV system research as follows: firstly, based on the characteristics and problems of auto assembly management, analysis of the intelligent scheduling AGV platform control system based on the needs of the design of a hybrid system based on AGV platform. Secondly, analysis on the positioning method of automatic identification technology and the existing AGV system, automatic identification method using RFID and barcode technology combined, based on RFID AGV positioning method and odometer combination. To determine the path segment AGV is using RFID technology, the realization of relative positioning technology mileage meter, so as to estimate the AGV path in the period of the location, real-time location data to provide AGV for remote intelligent monitoring unit. Then, according to the material flow distribution in job shop scheduling problem AGV construction of AGV material delivery completion time is the shortest material delivery scheduling optimization model AGV as the goal, and put forward a kind of improved genetic algorithm, the effectiveness of the proposed method is proved by examples. Finally, based on the theoretic research, the development of intelligent dispatching control system based on AGV platform, the main including the high-level scheduling control unit and vehicle dispatching planning, proposed priority and traffic control strategy based on path capacity. Finally, the proposed method is applied to the Jiangsu Tianqi logistics since The effectiveness of the system developed in this paper is verified in the automotive engine assembly system of the dynamic company.

【学位授予单位】：南京航空航天大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP273

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