Delta型并聯(lián)機(jī)構(gòu)優(yōu)化設(shè)計(jì)技術(shù)研究
[Abstract]:The parallel mechanism is composed of a fixed platform, a motion platform and two or more kinematic chains connected between them. The driving mode is parallel, and it is a closed loop mechanism with two or more degrees of freedom. It has stable structure, strong load-bearing ability, high stiffness, no cumulative amplification effect and high motion accuracy. With the development of the research on parallel mechanism, a new type of parallel robot is emerging. The Delta parallel robot was invented in 1986, and it has been successfully applied in the industrial field. At present, a breakthrough has been made in the industrialization of parallel mechanisms abroad, and great economic benefits have been created. At home, due to the late start, the research of related theory and key technology lags behind, the application of parallel mechanism in production practice is not ideal. In this paper, the Delta parallel mechanism is taken as the research object, and the optimization design of its dimension parameters is deeply studied, and its workspace index, kinematics dexterity index, stiffness performance index, etc. The dynamic performance index is analyzed and optimized, which provides a feasible method for solving this multi-objective optimization problem. The main contents are as follows: (1) structural modeling of geometry, kinematics and dynamics. (2) the performance index of Delta parallel mechanism is analyzed synthetically. Including: workspace index, kinematics dexterity performance index, stiffness performance index, dynamic performance index and so on. (3) according to the optimal dimension parameters of different performance indexes, a feasible solution is found. At the same time, genetic algorithm is used to solve this problem in the process of optimization because of the large number of dimension parameters. (4) because Delta parallel robot has different performance indexes, it is very important how to synthesize these performance indexes and choose a set of dimension parameters which can reflect the characteristics of parallel robot. This is the scale synthesis problem of parallel mechanism. In order to solve the problem of scale synthesis, using the concept of multi-objective optimization and genetic algorithm, the scale synthesis problem of parallel robot is studied.
【學(xué)位授予單位】:東北大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2012
【分類號(hào)】:TH112
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