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基于满意度原理的旋转式分插机构多目标优化设计

张国凤 胡群威

农业工程学报2012,Vol.28Issue(9):22-28,7.
农业工程学报2012,Vol.28Issue(9):22-28,7.DOI:10.3969/j.issn.1002-6819.2012.09.004

基于满意度原理的旋转式分插机构多目标优化设计

Multi-objective optimization design of rotary transplanting mechanism based on satisfactory degree theory

张国凤 1胡群威1

作者信息

  • 1. 浙江理工大学机械与自动控制学院,杭州310018
  • 折叠

摘要

Abstract

Aiming at the multi-objective, nonlinearity and fuzziness of optimization of the rotary transplanting mechanism with planetary gear system, multi-objective optimization model of kinematics parameter was established based on satisfactory theory. Fuzzy comprehensive evaluation was used to quantify the kinematics performance of the transplanting mechanism. BP neural network was trained to build the mapping relationship of satisfactory degree and satisfactory function. Optimal solution and its evaluation were obtained by real-code genetic elitism strategy algorithms as follows: semi-major axis of the elliptic gear α was 18.10 mm; the ratio of semi-minor axis to semi-major axis of the elliptical gear k was 0.988; initial settling angle of the planting arm α0 was -42.56°; initial settling angle of the planet gear δ0 was 11.56°; initial settling angle of the planet carrier ψ0was 31.02°; the distance between the planet gear and the seedling needle tip S was 153.79 mm; and satisfactory degree was 93.11. The results show that the method can improve the efficiency and quality of design and meet the demand of designers and users further.

关键词

机构/优化/设计/旋转式分插机构/满意度/BP神经网络

Key words

mechanisms, optimization, design, rotary transplanting mechanism, satisfactory, BP neural network

分类

农业科技

引用本文复制引用

张国凤,胡群威..基于满意度原理的旋转式分插机构多目标优化设计[J].农业工程学报,2012,28(9):22-28,7.

基金项目

国家自然科学基金项目(50875244) (50875244)

农业工程学报

OA北大核心CSCDCSTPCD

1002-6819

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