# [1]潘蕾,赵德材,张俊礼,等.微燃机-冷热电联供机组的Hammerstein模型及非线性广义预测控制[J].东南大学学报(自然科学版),2017,47(3):500-505.[doi:10.3969/j.issn.1001-0505.2017.03.015] 　Pan Lei,Zhao Decai,Zhang Junli,et al.Hammerstein model and nonlinear generalized predictive control of MGT-CCHP[J].Journal of Southeast University (Natural Science Edition),2017,47(3):500-505.[doi:10.3969/j.issn.1001-0505.2017.03.015] 点击复制 微燃机-冷热电联供机组的Hammerstein模型及非线性广义预测控制() 分享到： var jiathis_config = { data_track_clickback: true };

47

2017年第3期

500-505

2017-05-20

## 文章信息/Info

Title:
Hammerstein model and nonlinear generalized predictive control of MGT-CCHP

1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; 2华东交通大学电气与电子工程学院, 南昌 330013
Author(s):
1Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, China
2School of Electrical & Electronic Engineering, East China Jiaotong University, Nanchang 330013, China

Keywords:

TK477;TP273
DOI:
10.3969/j.issn.1001-0505.2017.03.015

Abstract:
To study on dynamic characteristics and control strategy, the nonlinear dynamic characteristic of a micro gas turbine-combined cooling, heating and power unit(MGT-CCHP)was identified with the Hammerstein model and expressed as a nonlinear static model and a linear dynamic model in series. After the order of the dynamic model was determined with the stepwise regression and the model parameters were identified with the particle swarm algorithm, an easily-reproduced block-oriented model is obtained. Then based on the Hammerstein predictive model, a nonlinear generalized predictive controller is designed for the cooling load following of MGT-CCHP. By taking advantage of the separate structure on the static and dynamic characteristics of a plant in a Hammerstein model, the nonlinear generalized predictive control could be transferred into the linear generalized predictive control for finding the root of a nonlinear static function, and thus making the control variable-solving more easily. The simulation results show that the nonlinear generalized predictive controller can improve control performance and is energy-saving than a PID controller with optimal parameters for the cooling load following.

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