Optimization Design And Application Verification Of Long-stroke Robot Mobile Platform Based On Response Surface Method

As an important part of the intelligent grinding and polishing system,the long-stroke robot mobile platform directly affects the performance of the system.This paper designs a new set of long-stroke robot mobile platform,optimizes and upgrades the robot mobile platform in China's first robot grinding system,and improves the performance of the grinding and polishing system.The long-stroke robot mobile platform designed in this paper uses a variety of control modes such as position mode,speed mode,and zero return mode to achieve a highly integrated control of the robot and mobile platform,and its maximum operating speed is not less than 2m/s and the maximum load reached 5T.Secondly,this paper also applies the response surface method to optimize the structure of the robot mobile platform.For the key components of the robot mobile platform,the classic Box-Behnken Method is used to design the sampling test,the Finite Element Model is established to solve the static mechanical performance of the sampling point,combined with the mathematical statistical processing of the sampling point data,the Genetic Aggregation Model of the sampling point is fitted to achieve Response Surface analysis of constrained variables;then apply the Nonlinear Programming by Quadratic Lagrangian algorithm to quickly find the optimal solution of the objective function within the range limited by the input variable range and the constraints.In this paper,the Response Surface Method is used to optimize the structure of the key components of the robot mobile platform,and the weight of the base is reduced by 19.75% and the stage is 49.2%.In addition,this paper also analyzes the overall modal performance of the robot mobile platform to verify the dynamic stability of the robot mobile platform.Finally,using the optimization results of the robot mobile platform,the prototype was developed,and the robot mobile platform prototype was replaced on the basis of the original robot grinding system.Taking the polishing effect of the system as the target constraint,the polishing effect of the new and old systems is compared and analyzed,and the polishing effect is significantly better than the old system.The optimized design and application verification of the long-stroke robot mobile platform carried out in this paper,iteratively upgraded the original system,and practiced the structural optimization design method based on response surface method and finite element method to localize the key components of large-scale integrated systems Success stories are provided.