摘要
聚焦疲劳试验机举升架的双缸同步举升精度问题,提出使用单神经元PID自适应算法作为疲劳试验机举升架双缸同步系统的控制算法,旨在克服传统PID算法在液压系统中参数难以整定带来的系统同步性能不佳的问题。首先,分析疲劳试验机举升架双缸同步系统的同步原理,建立同步系统数学模型;然后,仿真分析了传统PID控制算法和单神经元PID自适应控制算法在疲劳试验机双缸同步系统中的控制效果;最后,在疲劳试验机上分别进行了传统PID控制算法与单神经元PID自适应控制算法的举升架同步举升试验。试验结果表明:单神经元PID自适应算法控制下的系统同步误差率为1.5%,传统PID控制下的系统同步误差率为3.75%,在双缸同步中应用单神经元PID自适应算法可以有效提升同步精度。
In order to improve the synchronization precision lifting precision of the double cylinders of fatigue testing machine,the single-neuron PID adaptive algorithm is used as a control strategy to overcome the problem of poor synchronous control effect caused by the difficult tuning of traditional PID parameters.Based on the analysis of the working principle of the synchronization system,the mathematical model is established,the control effects of the two control strategies is simulated.Finally,the synchronous lifting tests under different control strategies are carried out on the test machine.The experimental results show that the synchronization error rate of the single-neuron PID adaptive algorithm is 1.5%,and the error rate of the synchronization system under PID control is 3.75%,The single-neuron PID adaptive algorithm can effectively improve the synchronization accuracy of the two-cylinder synchronization system.
作者
贾文昂
李展尚
陈统中
倪子帆
张善运
JIA Wenang;LI Zhanshang;CHEN Tongzhong;NI Zifan;ZHANG Shanyun(College of Mechanical Engineering,Zhejiang University of Technology,Hangzhou 310023,China;Key Laboratoryof Special Purpose Equipment and Advanced Processing Technology,Ministry of Education andZhejiang Province,Zhejiang University of Technology,Hangzhou 310023,China)
出处
《浙江工业大学学报》
CAS
北大核心
2022年第5期559-567,共9页
Journal of Zhejiang University of Technology
基金
国家重点研发计划项目(2019YFB2005202)
浙江省自然科学基金资助项目(LY21E050015)。
关键词
疲劳试验机
单神经元PID
双缸同步控制
fatigue testing machine
single neuron PID
double cylinder synchronous control
