# [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] 点击复制 基于LSSVM-GPC的流化床锅炉多变量协调控制方法() 分享到： var jiathis_config = { data_track_clickback: true };

43

2013年第2期

312-316

2013-03-20

## 文章信息/Info

Title:
Multivariable coordinated control method of FBC boiler based on LSSVM-GPC

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):
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

Keywords:

TK323
DOI:
10.3969/j.issn.1001-0505.2013.02.016

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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