摘要
为了改善农机作业履带张紧系统的行走性能,探讨了一种基于仿人智能的履带张紧自适应控制策略。剖析了履带式行走张紧系统存在的控制问题,总结了履带张紧过程的控制论特性,探讨了自适应控制策略与控制算法。以工业系统中典型的2阶滞后过程控制为例进行研究。仿真对比实验验证了基于仿人智能的控制算法可以取得更好的控制品质和控制效果。仿真结果表明:基于仿人智能的控制策略是一种可供张紧系统设计参考的自适应控制策略。
In order to improve the performance of caterpillar band walking tensioning system in agricultural machinery operation, the paper explored a sort of adaptive control strategy of caterpillar band tensioning based on human simulated intelligence. In the paper, it made the anatomy of existent control problems in caterpillar band walking tensioning system, summarized up the cybernetic characteristics of caterpillar band walking tensioning process, and explored the adaptive control strategy and control algorithm. Taking the control of typical second-order with lag process in industrial systems as an example, the simulation and contrast experiment demonstrated that it could achieve better control quality and control effect for control algorithm based on human simulated intelligence. The simulation results show that the control strategy based on human simulated intelligence is a kind of adaptive control strategy used as reference for the design of tension system.
作者
杨张利
YANG Zhangli(Chongqing College of Electronic Engineering, Chongqing 401331, China)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2019年第4期156-160,共5页
Journal of Chongqing University of Technology：Natural Science
基金
重庆市教委科技项目(KJ1729407
KJ1602911)
关键词
农机作业
履带式行走
张紧系统
自适应控制策略
仿人智能控制
agricultural machinery operation
caterpillar band walking
tensioning system
adaptive control strategy
human simulated intelligent control
作者简介
杨张利,男,硕士,副教授,主要从事智能自动化与工程系统控制研究,E-mail:dengrenming65106683@126.com.
