Application and simulation research for boiler superheated system identification based on MPSO-RBF hybrid optimization strategy

被引：0
|
作者：
Xiao, Ben-Xian
Wang, Xiao-Wei
Liu, Yi-Fu
机构：
[1] Institute of Industrial Automation, Hefei University of Technology, Hefei 230009, China
[2] Anhui Electric Power Research Institute, Hefei 230022, China
来源：
Xitong Fangzhen Xuebao / Journal of System Simulation | 2007年 / 19卷 / 06期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1382 / 1385
相关论文
共 50 条
  • [1] Predictive Control of Nonlinear System Based on MPSO-RBF Neural Network
    Zhang, Yan
    Zhang, Li
    Xing, Guolin
    Yang, Peng
    INFORMATION AND AUTOMATION, 2011, 86 : 567 - 573
  • [2] Research on the calculation strategy of a simulation model for a utility boiler system
    Chen, Li-Jia
    Ma, Guang-Fu
    Wang, Zi-Cai
    Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 2002, 17 (01): : 65 - 67
  • [3] Application of fuzzy-RBF-based PID controller in superheated steam temperature control system
    Department of Construct Device and Thermal Energy Engineering, Pingdingshan Institute of Technology, Pingdingshan 467000, China
    Dianli Zidonghua Shebei Electr. Power Autom. Equip., 2007, 11 (48-50):
  • [4] Simulation Research on the Optimization of Servo System Based on Hybrid Fuzzy Control Algorithm
    Jiang, Shang
    Tian, Fu-qing
    Yu, Pei-xin
    INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA 2016), 2016, : 591 - 596
  • [5] System model identification of superheated steam temperature based on particle swarm optimization
    Wang H.
    Rao Z.
    Liao S.
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2019, 50 (08): : 2001 - 2008
  • [6] Study on simulation of RBF NN identification method based on adaptive structural optimization
    Xiao, Yun-shi
    Ding, Hong-kai
    Yue, Ji-guang
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 8174 - 8178
  • [7] Research and Simulation of Boiler Combustion System Based on Convolution Neural Network
    Ouyang, Chunming
    Xiao, Li
    Xu, Zhibin
    Zhang, Weidong
    2018 INTERNATIONAL SEMINAR ON COMPUTER SCIENCE AND ENGINEERING TECHNOLOGY (SCSET 2018), 2019, 1176
  • [8] Parameter Identification of the RBF-ARX Model Based on the Hybrid Whale Optimization Algorithm
    Li, Chuanjiang
    You, Chengtian
    Gu, Ya
    Zhu, Yanfei
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2024, 71 (05) : 2774 - 2778
  • [9] Research and Application of Fuzzy Control in Boiler Combustion System Based on ACA
    Wu, Chen
    Lou, Guohuan
    ADVANCED BUILDING MATERIALS AND STRUCTURAL ENGINEERING, 2012, 461 : 642 - 646
  • [10] Study on simulation of nonlinear system identification based on PSO-RBF NN
    Ding, Hong-Kai
    Xiao, Yun-Shi
    Li, Bin-Yu
    Yue, Ji-Guang
    Xitong Fangzhen Xuebao / Journal of System Simulation, 2005, 17 (08): : 1826 - 1829
12345