Paper Title:
Energy Flow Management for Hybrid Power System of Fuel Cell Robot
  Abstract

The fuel cell robot hybrid power system is a multiple-input and multiple-output nonlinear system. This paper established a model for the system using neural network model, and model predict control strategy was used to control energy split of the system. The simulation results show that the description of neural network has higher precision and good ability of global approximation.

  Info
Periodical
Edited by
Jerry Tian
Pages
350-354
DOI
10.4028/www.scientific.net/AMR.304.350
Citation
Q. H. Chen, J. C. Yan, "Energy Flow Management for Hybrid Power System of Fuel Cell Robot", Advanced Materials Research, Vol. 304, pp. 350-354, 2011
Online since
July 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Huai Yuan Liu, Jian Hua He, Song Chen
Chapter 1: Digital Manufacturing and Advanced Manufacturing
Abstract:Based on the principle of the system identification, combined Simulink with System Identification Toolbox from MATLAB, the least square...
292
Authors: Jing Shu Wang, Ming Chi Feng, Chang An Zhu
Chapter 3: Development Elecrtonics, Networks, Information Technology and Algorithms in Systems Applications
Abstract:In order to realize the characteristics of the positioning stage, the system identification has been developed. The location data has been...
672
Authors: Hai Liang Hou, Jie Chen, Miao Ping Sun, Bin Jun Cai
Chapter 1: Research and Designing in Mechanical Engineering
Abstract:Short-term load forecasting plays a vital role for the power system’s safe operation and production arrangements. This paper regards electric...
48