Multi-target optimization method for main bearing of RV speed reducer

Abstract

A multi-target optimization method for a main bearing of an RV speed reducer comprises the steps of analyzing an external loading condition of the main bearing, building a quasi-static model of the main bearing of the RV speed reducer, and outputting target functions to be angular rigidity, a friction moment and an axial rated dynamic load of the main bearing of the RV speed reducer; randomly generating an initial population, calculating three optimization target function values of each individual by the model, performing non-dominated sorting, calculating a congestion distance, performing selection, heuristic crossover and Gaussian mutation to generate a new population based on a binary system tournament, and calculating a target function of each individual; and combining a parent population and the new population to form a big population, extracting the best individual to be used as a population entering next iteration, removing a repeated individual of the population after combination, detecting whether a current algebra reaches a set algebra or not, and outputting an optimization result. By the multi-target optimization method, a group of pareto-optimal design parameters which can be reference data for a designer can be acquired, whether the current design is a theoretical non-dominated solution can also be determined, and meanwhile, the algorithm efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of optimization design of main bearings of RV reducers, and in particular relates to a multi-objective optimization method for main bearings of RV reducers. Background technique [0002] RV reducer is a precision reducer on industrial robots. Among them, the main bearing of RV reducer is the main load element of RV reducer, which has a non-negligible impact on its mechanical properties such as stiffness, rotation accuracy, and life. Its structural design and theoretical analysis are still in its infancy and imitation stage in China. In order to perfect and improve the development process and performance of RV reducer main bearing, it is the key to theoretically conduct multi-objective optimization of its main characteristics to guide practical production. [0003] In the latest development of multi-objective optimization methods for bearings, Gupta et al. published the article "Multi-objective design optimi...

AI Technical Summary

Problems solved by technology

[0004] In addition, in the published patents and published related literature, there is no optimization case of the main bearing of the RV reducer based on the pseudo-static model in terms of stiffness, friction moment, and axial dynamic load rating of the bearing, and there is no related method analysis

In addition to the heuristic algorithm to solve the bearing multi-objective optimization problem, the traditional bearing optimization methods mostly use the grid method or the weighted coefficient method. These methods usually can only obtain one optimal solution. However, when multiple optimization objectives conflict with each other, The optimal solution is often a set, and it is difficult to explain the advantages and disadvantages. Therefore, it is particularly necessary to provide an optimization method for finding this optimal set for the specific problems of the main bearing of the RV reducer.

Images