Research And Design Of Unmanned Vehicle Systems For Transportation In Logistics Parks

The logistics sector in China has grown significantly over the past few years,with the importance of transportation services growing along with it.But,issues with high distribution costs and poor efficiency have gotten much worse.The development of technology,low-speed unmanned logistics vehicles have become an important part of community,park,campus and other scenes,and have been widely concerned by logistics enterprises and research institutions.With the development of driverless technology and the success of road experiments,driverless vehicle transportation provides a new solution for logistics distribution.Unmanned vehicle transportation has greater selectivity and flexibility.With the outbreak of the COVID-19 in 2020,the advantages of driverless transportation become more obvious.It can not only meet the contactless transportation demand,but also successfully stop the illness from spreading,as well as help with the labor deficit.Therefore,strengthening the research on unmanned vehicles will bring great changes to the logistics industry and make the logistics industry more efficient and flexible.Our design is designed to help electric vehicles achieve automatic route planning when they are driverless.The aim of this design is to help electric vehicles to implement trajectory planning and monitoring to implement autonomous driving and improve the efficiency and safety of unmanned driving.His main research work is as follows:1、Develop a system diagram and select the main components of the system,including the main controller,GPS module,angle sensor,steering motor,and power module.And explained the relevant principles and technologies.2、Finalizing the hardware and software design of the unmanned transport vehicle.Using the Altium Designer 20 software to design the hardware circuit of the UAV control system,which mainly includes power supply modules,motor isolation modules,sensor modules and main system control modules;analyzing GPS information to lay the groundwork for autonomous UAV driving;designing the top interface of the STUDIO software to perform the serial communication settings and control functions.3、Finalization of the design of the algorithm for the transportation of unmanned vehicles.The A*algorithm is improved from the four aspects of the inspiration function selection,the introduction of the punishment function,the smoothness processing of the smoothness,and the search method.The A*algorithm,improved by using the superior machine,is planned to plan the trajectory.By setting up a logistics fleet map in Matlab and simulating the algorithm,improving the improved A* algorithm over the traditional A*algorithm;according to the point separation algorithm and the clean tracking algorithm,design two trajectory tracking controllers to perform simulation experiments with the two controllers,select the appropriate controller for this design and track the planned trajectory.4、Complete the functional testing of the unmanned vehicle system.The angle sensor can accurately measure the rotation of the front wheel;the upper machine communicates with the main controller and sends the position information to the main controller in real time;test the GPS positioning system to check the accuracy of the positioning system and the steering accuracy;apply the path planning algorithm and the tracking controller to the real car,and select the school road as the test site to test the relevant functions.