[1]孙立,潘蕾,沈炯.基于LSSVM-GPC的流化床锅炉多变量协调控制方法[J].东南大学学报(自然科学版),2013,43(2):312-316.[doi:10.3969/j.issn.1001-0505.2013.02.016]
 Sun Li,Pan Lei,Shen Jiong.Multivariable coordinated control method of FBC boiler based on LSSVM-GPC[J].Journal of Southeast University (Natural Science Edition),2013,43(2):312-316.[doi:10.3969/j.issn.1001-0505.2013.02.016]
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基于LSSVM-GPC的流化床锅炉多变量协调控制方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
43
期数:
2013年第2期
页码:
312-316
栏目:
能源与动力工程
出版日期:
2013-03-20

文章信息/Info

Title:
Multivariable coordinated control method of FBC boiler based on LSSVM-GPC
作者:
孙立1潘蕾2沈炯2
1清华大学热能工程系, 北京 100083; 2东南大学能源热转换及其过程测控教育部重点实验室, 南京 210096
Author(s):
Sun Li1 Pan Lei2 Shen Jiong2
1Department of Thermal Engineering, Tsinghua University, Beijing 100083, China
2Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, China
关键词:
流化床 机理模型 支持向量机 协调预测控制
Keywords:
fluidized bed mechanism model support vector machine coordinate predictive control
分类号:
TK323
DOI:
10.3969/j.issn.1001-0505.2013.02.016
摘要:
为了获得良好的流化床锅炉控制品质,提出了一种基于最小二乘支持向量机广义预测控制(LSSVM-GPC)的多变量协调控制方法,以适应流化床锅炉多变量、强耦合、大滞后的动力学特性.在研究流化床机理模型的基础上,采用LSSVM算法辨识流化床模型,并将所得的决策函数转化为广义预测模型.对比结果显示,LSSVM预测模型能够准确描述对象输出特性,并有效去除测量噪声.为了解决FBC多变量预测控制中易出现的病态矩阵以及调节量动作频繁等问题,进一步利用关联分析法,设计了基于LSSVM-GPC的流化床协调控制方法.仿真结果表明,结合该方法能使锅炉负荷响应具有良好的快速性和稳定性,同时能保持床温基本稳定,并有效避免调节量的频繁变化,达到了节能优化控制的目的.
Abstract:
In order to achieve good control performance of fluidized bed combustion(FBC)boilers with the dynamic characteristics of multi-variables, strong coupling, and time delays, a coordinated generalized predictive control method based on the least-squares support vector machine(LSSVM-GPC)is developed. First, a precise identification model from the FBC mechanism model is obtained by using the LSSVM approach, and then the generalized predictive model is derived from the LSSVM decision function. The comparisons among several modeling approaches show that the LSSVM prediction model can accurately describe the output characteristics of the plants and effectively remove the measurement noises. For avoiding ill-conditioned matrixes and frequent varying of manipulating variables in the control decisions, a coordinated control strategy based on the LSSVM-GPC algorithm is developed by using the correlation analysis on the FBC process. Simulation results show that the approach obviously improves the rapidness and stability of the FBC load control; meanwhile it keeps the bed temperature settled well. Further, it avoids the frequently varying of the actuators; thus the control strategy is optimal and energy-saving.

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备注/Memo

备注/Memo:
作者简介: 孙立(1989—),男,博士生;潘蕾(联系人),女,博士,副教授,panlei@seu.edu.cn.
基金项目: 国家自然科学基金重点资助项目(51036002)、国家自然科学基金资助项目(51106024).
引文格式: 孙立,潘蕾,沈炯.基于LSSVM-GPC的流化床锅炉多变量协调控制方法[J].东南大学学报:自然科学版,2013,43(2):312-316. [doi:10.3969/j.issn.1001-0505.2013.02.016]
更新日期/Last Update: 2013-03-20