Optimal Control System Design for Fuel Processing System
碩士 === 大葉大學 === 電機工程學系 === 96 === This paper presents that an optimal control system which consists of both feedforward and state-feedback controllers is designed using a well-developed linear quadratic Gaussian and loop transfer recovery (LQG/LTR) method for a fuel processing system (FPS).This FPS...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2008
|
Online Access: | http://ndltd.ncl.edu.tw/handle/04152012946279247192 |
Summary: | 碩士 === 大葉大學 === 電機工程學系 === 96 === This paper presents that an optimal control system which consists of both feedforward and state-feedback controllers is designed using a well-developed linear quadratic Gaussian and loop transfer recovery (LQG/LTR) method for a fuel processing system (FPS).This FPS uses natural gas as fuel and reacts with atmospheric air through a catalytic partial oxidation (CPO),after pure supply to proton exchange membrane fuel cell (PEMFC) stack . The objectives of this paper are to use the Matlab/Simulink software tool to model such an optimal control system and to analyze the system performance. The proposed method achieves better performance and robustness properties in both time-domain and frequency-domain responses.
|
---|