固体氧化物燃料电池建模及广义预测控制  

Modeling and generalized predictive control of solid oxide fuel cell

作　　者：李肖 李俊红[1] 沈文兵 宗天成 LI Xiao;LI Jun-hong;SHEN Wen-bing;ZONG Tian-cheng(School of Electrical Engineering,Nantong University,Nantong,Jiangsu 226019,China)

机构地区：[1]南通大学电气工程学院,江苏南通226019

出　　处：《电池》2018年第6期381-383,共3页Battery Bimonthly

基　　金：国家自然科学基金(61403217;61673226);江苏省自然科学基金(BK20181457);江苏省高校自然科学基金项目(18KJB12007;18KJA470003);江苏省大学生创新训练项目(201810304071Y);江苏省六大人才高峰项目(XYDXX-038)

摘　　要：目前的固体氧化物燃料电池(SOFC)模型多侧重于对电池堆内部过程的描述,但太复杂,不适用于性能预测和控制系统设计。针对SOFC的反应机理,在SIMULINK中搭建电池的机理模型来获得输入-输出数据;利用MATLAB中的系统辨识工具箱辨识电池的数学模型。在建立的数学模型基础上,进行广义预测控制算法设计。与比例积分微分(PID)控制算法相比,广义预测控制算法的响应速度更快,设定值跟踪效果更平稳,超调量更小,输出曲线能快速地跟踪系统设定值。The current solid oxide fuel cell(SOFC)model was focused on the description of the internal process of the battery,it was too complex to be used for performance prediction and control system design.According to the reaction mechanism of SOFC,the battery mechanism model was built in SIMULINK to obtain the input and output data.The mathematical model of the battery was identified by using the system identification toolbox in MATLAB.The design of generalized predictive control algorithm was proposed based on the establishment of the mathematical model.Compared with the proportional integral derivative (PID)control algorithm, the generalized predictive control algorithm had faster response speed,better dynamic regulation robustness and less overshoot.The output curve could track the system setting value rapidly and accurately.

关 键 词：固体氧化物燃料电池(SOFC) 数学模型 广义预测控制 

分 类 号：TM911.47[电气工程—电力电子与电力传动]