Real-Time Implementation of Adaptive State Feedback Predictive Control of PEM Fuel Cell Flow Systems Using the Singular Pencil Model Method

被引：6
作者：
Tong, Shi-Wen [1 ,2 ]
Liu, Guo-Ping [3 ,4 ,5 ]
Wang, Xiaochun George [6 ]
Tan, Min [1 ]
机构：
[1] Chinese Acad Sci, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China
[2] China Tianchen Engn Corp TCC, Beijing 100029, Peoples R China
[3] Univ Glamorgan, Fac Adv Technol, Pontypridd CF37 1DL, M Glam, Wales
[4] Harbin Inst Technol, Harbin 150001, Peoples R China
[5] Cent S Univ, Changsha 410083, Peoples R China
[6] CNR, Innovat Ctr, Vancouver, BC V6T 1W5, Canada
来源：
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY | 2009年 / 17卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Fuel cells; identification; parameter estimation; predictive control; singular pencil model (SPM); state estimation; STABILITY;
D O I：
10.1109/TCST.2008.2001721
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This brief implements the singular pencil model and the extended Kalman filter to estimate the states and parameters simultaneously with unknown noise. Combined with state feedback predictive control, the proposed method can incorporate online estimation of both states and parameters and the controller design. Stability and observability of the states and parameters vector are analyzed. Simulation and online implementation in proton exchange membrane (PEM) fuel cell flow systems illustrate the strong disturbance rejection ability of this method. This brief uses the adaptive state feedback predictive controller, which based on the singular pencil model method, to control the cathode pressure and the proportional-integral (PI) controller to control the anode pressure. The proposed method works well to track the dynamics of the process at an idle and a given load.
引用
收藏
页码：697 / 706
页数：10
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