燕山大学学报2017，Vol.41Issue(3)：235-239,264,6.DOI:10.3969/j.issn.1007-791X.2017.03.006
一种新型多神经元PID伺服控制器研究
Research on new type of multi neuron PID servo controller
摘要
Abstract
In the light of the slow convergence speed, which leads to neural network weights iteration to solve the nonlinear coupling,multi weights are converged to the local minimum defects points of defects. A new multi neuron PID neural network algorithm is proposed.The core of this algorithm is to simplify the PID neural network controller and to improve the initialization of the weights.Through the analysis and calculation of the new multi neuron PID control algorithm,it found that the proposed algorithm has many advantages such as simplification,fast convergence speed,flexible network weight.The algorithm with the traditional neural network algorithm is applied to hydraulic straightening machine′s servo control. The comparative analysis is used to verify the effectiveness of the algorithm,and application for multi neuron PID controller provides theoretical support and technical reference.关键词
多神经元/PID/全液压矫直机/伺服控制器Key words
multi neuron/PID/full hydraulic straighter/servo controller分类
信息技术与安全科学引用本文复制引用
岳光,潘玉田,张华君,杜金祥..一种新型多神经元PID伺服控制器研究[J].燕山大学学报,2017,41(3):235-239,264,6.基金项目
山西省重点研发计划(指南)项目(201603D121040-1) （指南）
