Performance analysis of artificial intelligent controllers in PEM fuel cell voltage tracking

被引：3
|
作者：
Vinu, R. [1 ]
Paul, Varghese [2 ]
机构：
[1] Anna Univ, Chennai, Tamil Nadu, India
[2] Toc H Inst Sci & Technol, Cochin, Kerala, India
来源：
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2019年 / 22卷 / 02期
关键词：
Feedback; Intelligent systems; Neural networks; Optimal control; Renewable energy source; DESIGN;
D O I：
10.1007/s10586-018-1992-7
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The main criteria to be kept in mind while designing any application using fuel cell is the Voltage Control under sudden load variations. As a standard practice the output voltage of a fuel cell is controlled and maintained to the reference by introducing Intelligent Controllers. This paper shows the performance analysis of various intelligent controllers that can track the output voltage of fuel cell. In this paper, the state space model of Proton Exchange Membrane Fuel cell is considered for analyzing various controllers. Additionally the transient response of the fuel cell is analyzed and compared for the different controllers. The performance of the controllers is evaluated by estimating the time response characteristics of the system and also by calculating the system errors.
引用
收藏
页码：S4443 / S4455
页数：13
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