| Automated three-dimensional warehouses,with their advantages of low energy consumption and land conservation,provide a positive driving force for the development of the logistics and warehousing field.Stackers play a crucial role in this field.However,in the actual operation of warehousing systems,acceleration mutations often occur due to frequent starts and stops of the stackers,resulting in unstable operation of the stackers,causing the loaded goods to fall off the platform,and even causing serious damage to the stacker structure,Affects the operational efficiency and economic benefits of logistics warehousing systems.To solve the above problems,this article takes a single column stacker as the research object.Through theoretical,finite element,and genetic algorithm optimization analysis of the working principle of the single column stacker,the following main research content has been carried out:(1)Based on the relevant design requirements of the automated three-dimensional warehouse stacker,a structural plan for the stacker has been designed,and the design parameters of each key structural component of the stacker have been determined;From the perspective of Statics analysis,the deflection of the top of the column,the angle of the lower beam and the total deflection of the stacker are analyzed and calculated,and the design requirements of the stacker structure are verified.(2)A finite element model of the stacker crane was established,and simulation analysis was conducted on the stacker crane.Static analysis,modal analysis,and harmonic response analysis were conducted on the columns and forks of the stacker crane,taking into account both static and dynamic operating conditions.The response signals of the stress strain distribution and frequency displacement of the stacker crane were obtained,further verifying the rationality and feasibility of the stacker crane structural design.A study was conducted on the lightweight of stacker crane columns,with the mass of the stacker crane columns as the optimization objective function and the structural size of the stacker crane columns as the optimization variable.Genetic algorithm was used to design the structure for lightweight of the stacker crane,and the results before and after optimization were compared and analyzed to verify the rationality of the optimized structure.(3)To ensure the smooth operation of the stacker crane,research has been conducted on the control of the speed curve of the stacker crane.Firstly,the Formula of the trapezoidal speed control curve,S-type speed control curve and Trigonometric functions type speed control curve of the stacker are derived,and the simulation analysis is carried out with Matlab,and the change trend of the three curves is obtained;Secondly,the total deflection equation and top vibration equation of the stacker column are derived,and a Simulink simulation model is established based on this;Finally,three speed control curves are substituted into the Simulink simulation model to calculate the amplitude curve at the top of the column,and the optimal control curve for the operation of the stacker crane is determined by comprehensively considering factors such as efficiency and stability.(4)Taking the working condition of the stacker crane operating at the maximum distance in both horizontal and vertical directions as an example,a weighted genetic algorithm is used to multi-objective optimize the S-type speed control curve.The optimized parameters are then substituted into the Simulink simulation model to calculate the speed comparison curve and amplitude comparison curve before and after optimization.The optimization is analyzed from two aspects: operational efficiency and stability,and the optimized speed curve parameters are summarized,This effectively reduces the amplitude during the operation of the stacker crane,thereby significantly improving the operational efficiency of the stacker crane.This method can effectively coordinate and control the horizontal and vertical running speed based on the actual stacking requirements of the target goods,and improve the operational performance of the system. |