Research On Control Technology Of The Style Of Clamp Box Stacker Crane With Light And High-Speed

Under the background of modern enterprises pay more and more attention to economic efficiency,the demand for production efficiency and energy saving of production management systems is also increasing.The rapid development of science and technology promotes the continuous upgrading of logistics and warehousing technology.The application and upgrade of automated storage retrieval systems have greatly improved the logistics speed of goods.The working efficiency of the stacker crane at the time of going out of storage has a very important influence on the working efficiency of the automated warehouse.Therefore,the use of advanced control technology to continuously improve the stacker crane's operating speed,positioning accuracy and self-adaptability is the hot research direction of logistics storage technology.Raising the performance of stacker cranes is also an important way to improve the economic efficiency of automated storage retrieval systems.According to the needs of research tasks,the main research work in this paper has the following aspects:(1)According to the requirements of the research task,an overall planning scheme for the lightweight and high-speed clamp-type stacker was put forward,and the hardware configuration and software system of the stacker were analyzed deeply The focus will be on the structure,drive,and work program of the telescopic forks that implement the gripping function.Finally,according to the working mode and work characteristics of the stacker,the working process of the complete machine is determined.(2)In order to reduce the negative impact of stacker crane column vibration on the structure of stacker crane,positioning accuracy and safety in the event of high-speed and high-acceleration operation of the stacker crane,the operation of the stacker crane is motivated.Learn simulation experiments.The comparison and analysis of the simulation results optimizes the operation control strategy of the stacker crane and also provides a reference for setting the operating curve of the stacker crane control system.(3)In combination with the trapezoidal speed curve,positioning method,and operation speed regulation principle of stacker crane operation,an intelligent control algorithm based on fuzzy cerebellar model neural network is proposed for the high-speed stacker crane walking and a corresponding control model is established.Introduce the fuzzy control theory,the principle and algorithm of the cerebellar model neural network,the fuzzy controller,the cerebellar model neural network controller,the structure of the fuzzy cerebellar model neural network controller,etc.(4)In MATLAB,the simlink model of fuzzy cerebellar model neural network controller is used to control the AC servo drive system,and the performance of the stack crane is evaluated from both dynamic response and steady state accuracy.From the results of simulation experiments,the performance of the controller in these two aspects is relatively good.Thus,the fuzzy cerebellar model neural network algorithm is helpful to improve the performance of the stacker crane control system and achieve intelligent control.