| With the continuous progress of science and technology,automation technology is also constantly being updated and updated.The food processing and manufacturing industry is gradually adopting machines to replace existing workers to achieve automated production,which not only saves costs but also effectively improves production efficiency.Nowadays,the production mode of Rice noodles undergone tremendous changes.High efficiency and intelligence have become the mainstream trend in the development of Rice noodles production equipment manufacturing.It has a fully automated multi position automatic flour loading positioning system,which can meet actual needs of Rice noodles production line,improve production efficiency and product quality of Rice noodles,reduce the working intensity of workers.It is the main direction of Rice noodles production in China to develop into intelligent manufacturing in the future.Through investigation of a flour company in Guilin,it is found that there are technical problems such as low efficiency of automatic flour loading,inaccurate positioning of flour loading truck,and difficult automatic control in the process of existing factory production of Rice noodles.This project designs a multi station automatic powder loading positioning control system based on fuzzy control,realizes multi station fully automated powder loading positioning system.Firstly,in view of powder loading process of the existing Rice noodles production line and actual production background,efficient automatic powder feeding mechanism is designed to solve the problems of the existing long chain powder feeding device of powder feeding equipment,such as easy pollution,unstable operation,serious wear of the sliding wheel and low productivity.It can meet the precise positioning and safe and reliable operation of powder loading vehicle.Its operation range is up to 30m,and can complete powder loading operation for six stations simultaneously.Secondly,the key factors that restrict the efficiency and positioning of powder loading are analyzed,and deviation E1between the detection value of powder height and the preset value,as well as the deviation change rate EC1and absolute value E2of deviation between the current position of powder loading truck and the position to be loaded,are selected as input variables.The motor speed U1and the door opening U2of powder loading truck are selected as output variables.By adjusting the motor speed and the door opening of powder loading through fuzzy control rules,the efficiency of powder loading and the positioning accuracy of powder loading vehicle are improved,and simulation verification is conducted in the MATLAB.Finally,a control system that combines ultrasonic sensors,PLC main controllers,servo motors,limit switches,and HMI touch screens to achieve precise positioning of powder loading truck and meet the full load operation of 6workstations is implemented.The existing powder loading production line of the company has undergone technological transformation and this control system built on the Siemens S7-1200 PLC.The improvement effect of powder loading efficiency,total output,and positioning accuracy of powder loading trucks was analyzed through on-site experiments.The maximum number of workstations that system can meet was also verified through simulation experiments.The results show that compared with the existing traditional closed-loop control mode,the total output of Rice noodles per hour of Rice noodles production using system in this paper increased by 31.4%,and the flour loading efficiency increased by 103.2%.Compared to ordinary two-dimensional fuzzy control,the total output P per hour increased by 18.9%,powder loading efficiency improved by 56.8%,positioning error of powder loading truck reduced to within 10mm.The research topic has an important reference significance for upgrading transformation of production line technology of similar enterprises,plays an role in Rice noodles industry and even enterprises in similar processing industries towards automation,intelligence and efficiency. |