Neural control based on incomplete derivative PID algorithm

被引：0
|
作者：
机构：
[1] Wang, QiZhi
[2] Wang, Xiaoxia
来源：
Wang, Q. | 1600年 / Universitas Ahmad Dahlan卷 / 11期
关键词：
Control process - Differential response - Digital PID - High-frequency noise - Incomplete derivative - Neural control - PID - PID Algorithm - PID control algorithm - Process oscillations;
D O I：
10.11591/telkomnika.v11i4.2392
中图分类号：
学科分类号：
摘要：
In the actual control, complete differential digital PID algorithms have been widely used. But the differential will amplify high-frequency noise. If the differential response is too sensitive, it is easy to cause the control process oscillation, incomplete PID control algorithms can overcome the differential oscillation. Incomplete derivative PID algorithm combined with neural network improves the system control quality, it has the important practical significance. The simulation shows it has good position tracking performance and high robustness. ©2013 Universitas Ahmad Dahlan.
引用
收藏
相关论文
共 50 条
  • [31] An Optimal PID Control Algorithm for Training Feedforward Neural Networks
    Jing, Xingjian
    Cheng, Li
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013, 60 (06) : 2273 - 2283
  • [32] PID gradient algorithm for neural network based generalized nonlinear PID controller
    Tan, Yonghong
    Dang, Xuanju
    Achiel, R.
    Van Cauwenberghe, Achiel R.
    Mehrdad Saif
    Kongzhi Lilun Yu Yinyong/Control Theory and Applications, 2000, 17 (06): : 861 - 867
  • [33] The PID control algorithm based on MATLAB simulation
    Song, Lepeng
    Xu, Dijian
    Shi, Jinliang
    Jia, Bi
    CURRENT DEVELOPMENT OF MECHANICAL ENGINEERING AND ENERGY, PTS 1 AND 2, 2014, 494-495 : 1302 - 1305
  • [34] An Improved Control Method Based on PID Algorithm
    Du Jingqing
    Gao Shiqiao
    Yao Fenglin
    Luo Chuang
    Liu Haipeng
    2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 3, 2010, : 124 - 129
  • [35] PID Control of Magnetic Levitation System based on Derivative Filter
    Pallav
    Pandey, Sumit Kumar
    Laxmi, Vijaya
    2014 ANNUAL INTERNATIONAL CONFERENCE ON EMERGING RESEARCH AREAS: MAGNETICS, MACHINES AND DRIVES (AICERA/ICMMD), 2014,
  • [36] The research on the coordinated control system of PID neural network based on artificial fish swarm algorithm
    Liu Xin-yue
    Yu Kai-yao
    Xi Dong-min
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 3065 - 3068
  • [37] Generalized Predictive Control Algorithm Applied to Thermal Power Units Based on PID Neural Network
    Du, Chunyan
    Ling, Hujun
    2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 3, 2010, : 38 - 42
  • [38] DO control system based on PID control algorithm for aquaculture
    Huan, Juan
    Liu, Xingqiao
    Wang, Hongyuan
    Gui, Fen
    Journal of Information and Computational Science, 2013, 10 (11): : 3519 - 3528
  • [39] Cloud Neural Fuzzy PID Hybrid Integrated Algorithm of Flatness Control
    Chun-yu Jia
    Tao Bai
    Xiu-ying Shan
    Fa-jun Cui
    Sheng-jie Xu
    Journal of Iron and Steel Research International, 2014, 21 : 559 - 564
  • [40] Analysis improvement of a kind of neural networks intelligent PID control algorithm
    Li, Qi
    Li, Shihua
    Kongzhi yu Juece/Control and Decision, 1998, 13 (04): : 311 - 316
12345