earticle

논문검색

Nonlinear Generalized Predictive Control for Air Flow Rate Regulation in the PEM Fuel Cell System

원문정보

초록

영어

The particular interest in Proton Exchange Membrane(PEM) fuel cell is based on the possibility to generate the clean and efficiency power. The safety and high operation issues of system are closely related to the control strategy used for fuel and oxidant supply. In PEM fuel cell the oxygen excess ratio expresses the proportion between oxygen supply and consumption and represents a decisive variable for the safety and normal performance. The main control object in this work is to maintain the oxygen excess ratio at the reference value which is obtained by simulation experiments. This work is focused on the design of the nonlinear generalized predictive control strategy manipulating the air flow rate in order to maintain the oxygen excess ratio. This proposed control strategy is based on GPC, and the sequence of control increments, input increment and output constraints solving is introduced to design proposed stair-like GPC method. The experiment results base on simulation platform of PEM FUEL CELL, is built in MATLAB environment, shows the better control effect comparing with fuzzy-PID switching method.

목차

Abstract
 1. Introduction
 2. System Analysis
  2.1. PEM Fuel Cell System
  2.2. PEM Fuel Cell System
  2.2. Control Object of Oxygen Excess Ratio
 3. Control Strategy Design for Oxygen Excess Ratio
  3.1. Prediction Model Identification
  3.2. Nonlinear Generalized Predictive Control
 4. System Analysis
 5. Conclusions
 References

저자정보

  • Zhang Haochen College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China
  • An Aimin College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China
  • Xu Tianpeng Science & Technology Department, Lanzhou University of Technology, Lanzhou, China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.