Wang Gang, Mao Zhiwei, Luo Yufeng, et al. Automatic Analysis Algorithm of Position and Orientation Characteristic Set of Parallel Mechanism based on Neural Network[J]. 2018,42(7):44-48.
Wang Gang, Mao Zhiwei, Luo Yufeng, et al. Automatic Analysis Algorithm of Position and Orientation Characteristic Set of Parallel Mechanism based on Neural Network[J]. 2018,42(7):44-48. DOI: 10.16578/j.issn.1004.2539.2018.07.010.
基于神经网络的并联机构方位特征集自动分析算法
摘要
基于方位特征集理论(Position and Orientation Characteristic,POC),揭示并联机构拓扑结构分析的理论内涵,建立基于神经网络的并联机构拓扑结构描述方法,提出一种基于神经网络的并联机构拓扑结构自动分析算法。详细说明了并联机构POC集神经网络模型以及模型中对应的6种算法规则,并给出该方法的主要步骤及实例分析。首先,通过对并联机构拓扑结构分析的理论分析,归纳出其本质;其次,基于神经网络理论基础,对并联机构拓扑结构描述数字化表达;此外,通过分析并联机构POC集自动分析的本质内涵,建立并联机构POC集神经网络模型以及提出6种模型算法规则。最后通过实例分析证明了并联机构POC集自动分析算法的正确性和有效性。
Abstract
Based on the theory of the position and orientation characteristic set( POC),the theoretical connotation of topology analysis of the parallel mechanism is revealed,a description method of parallel mechanism topology based on neural network is built,an automatic analysis algorithm of parallel mechanism topology mechanism based on neural network is presented. A detailed description of the algorithm in 6 rules parallel mechanism POC set model and the neural network model is introduced,the main steps and examples analysis of the method are given. First of all,by analyzing the topological structure of parallel mechanism,the essence is summed up. Secondly,based on the neural network theory,the topological structure of parallel mechanism is described and digitized. In addition,by analyzing the essential meaning of the automatic analysis of POC sets of parallel mechanisms,the POC neural network model of parallel mechanisms is established and 6 algorithm rules of the model are proposed. Finally,an example is given to prove the correctness and effectiveness of the POC set automatic analysis algorithm for parallel mechanism.
关键词
并联机构方位特征集向量组自动分析
Keywords
Parallel mechanismPosition and orientation characteristic setVector SetAutomatic analysis