基于混沌灰狼优化算法的栽植机四杆机构优化设计  

Optimal Design of Four-bar Mechanism of Planting Machine Based on Chaotic Grey Wolf Optimization Algorithm

作　　者：李树森[1] 刘陈惠子 邬博文 LI Shu-sen;LIU Chen-huizi;WU Bo-wen(Northeast Forestry University,Harbin Heilongjiang 150040,China)

机构地区：[1]东北林业大学,黑龙江哈尔滨150040

出　　处：《林业机械与木工设备》2022年第5期17-20,共4页Forestry Machinery & Woodworking Equipment

基　　金：黑龙江省自然科学基金项目(E2018001)。

摘　　要：针对栽植机四杆机构设计中参数选取过程复杂、求解难度较大的问题,提出一种基于混沌灰狼优化算法的栽植机四杆机构优化设计方法。首先,以四杆栽植机构为研究对象,建立以轨迹误差最小化为优化目标的数学模型。其次,在原始的灰狼优化算法中嵌入混沌初始化与扰动两种学习机制来提升多样性与跳出局部解的能力,同时设计了一种非线性自适应算子来平衡探索与开发。最后,应用所提方法对栽植机四杆机构进行了优化设计。实验结果表明,本研究方法能有效解决栽植机四杆机构优化设计问题,所设计的栽植机构具有更合理的参数尺寸和更小的运动偏差。In order to solve the problem of complex parameter selection and difficulty in seeking a solution in the design of four-bar mechanism of planting machines,an optimal design method of four-bar mechanism of planting machines based on a chaotic grey wolf optimization algorithm was proposed.First of all,with a four-bar planting mechanism as the research object,a mathematical model taking the minimization of trajectory error as the optimization objective was established.Secondly,two learning mechanisms of chaos initialization and disturbance were embedded in the original chaotic grey wolf optimization algorithm to improve the diversity and the ability to jump out of the local solution,and a nonlinear adaptive operator was designed to balance exploration and development.Finally,the proposed method was used to optimize the design of the four-bar mechanism of the planting machine.The experimental results show that the algorithm can effectively solve the problem of optimal design of the four-bar mechanism of the planting machine,and the designed planting mechanism has a more reasonable parameter size and smaller motion deviation.

关 键 词：栽植机 四杆机构 灰狼优化算法 混沌 优化设计 

分 类 号：S776[农业科学—森林工程]