吉林大学学报（理学版）2016，Vol.54Issue(6)：1350-1354,5.DOI:10.13413/j.cnki.jdxblxb.2016.06.29
Kalman滤波在单神经元PID控制中的应用
Application of Kalman Filtering in Single Neuron PID Control
黄永平 1闻双云 1相文超 1金玉善1
作者信息
- 1. 吉林大学 计算机科学与技术学院，长春 130012
- 折叠
摘要
Abstract
Aiming at the problem that single neuron PID controller contained output noise,which resulted in degradation of the control performance,we proposed an improved single neuron adaptive PID control algorithm based on Kalman filtering theory.By introducing the concept of state space, the algorithm used recurrence method in the time domain to filter data.The output value of the controlled object was processed by Kalman filtering algorithm and then returned to closed loop control system.The experimental results show that the improved algorithm can effectively reduce output noise of the control system,which is close to an ideal state without noise,and improve the control performance.关键词
Kalman滤波/单神经元PID控制/去噪/状态空间/递推估计Key words
Kalman filtering/single neuron PID control/denoising/state space/recursive estimation分类
信息技术与安全科学引用本文复制引用
黄永平,闻双云,相文超,金玉善..Kalman滤波在单神经元PID控制中的应用[J].吉林大学学报（理学版）,2016,54(6):1350-1354,5.
