农机化研究2025，Vol.47Issue(1)：205-209,5.DOI:10.13427/j.issn.1003-188X.2025.01.033
基于粒子群优化算法的农业机器人控制策略研究
Research on Control Strategy of Agricultural Robot Based on Particle Swarm Optimization Algorithm
摘要
Abstract
It first introduces the concept of particle swarm optimization algorithm,and then analyzes and studies the opti-mization constraint model of agricultural robots from the mathematical model,boundary constraints and environmental con-straints.It finally realizes the dynamic obstacle avoidance and path planning of agricultural robots.The simulation experi-ment showed that the agricultural robot can carry out the optimal obstacle avoidance path planning for the complex work-ing environment,and the algorithm convergence speed was fast,which can meet the design requirements and prove that the system has certain feasibility.关键词
农业机器人/粒子群/优化约束模型/避障/路径规划Key words
agricultural robots/particle swarm/optimization constraint model/avoid obstacles/path planning分类
农业科学引用本文复制引用
王娜,吴延凯,许娜..基于粒子群优化算法的农业机器人控制策略研究[J].农机化研究,2025,47(1):205-209,5.基金项目
河南省科技攻关计划项目(212102210372) （212102210372）
