Title :
The Fuzzy PID Control Research on Direct Methanol Fuel Cell
Author :
Chen, Yu ; Wang, Liu-fang ; Cao, Ling-zhi ; Li, Chun-Wen
Author_Institution :
Key Lab. of Inf. Electr. Apparatus in Henan Province, Zhengzhou, China
Abstract :
Direct methanol fuel cell is a complex nonlinear system, which is difficult to establish accurate mathematical model and control. In this article, we use state-space model to analyze this system. In terms of application, we make use of multi-variable fuzzy control theory and design a parameter adaptive fuzzy PID controller to solve some problems such as time variation and uncertainty in system control. Finally, we use Matlab software to simulate it, and the simulation results show that the control system solution can improve the performance of DMFC, and this solution is reasonable and effective.
Keywords :
adaptive control; direct methanol fuel cells; fuzzy control; multivariable control systems; state-space methods; three-term control; Matlab software; adaptive fuzzy PID controller; complex nonlinear system; direct methanol fuel cell; multivariable fuzzy control theory; state-space model; Application software; Control systems; Fuel cells; Fuzzy control; Mathematical model; Methanol; Nonlinear control systems; Nonlinear systems; Programmable control; Three-term control; Direct methanol fuel cell; Fuzzy control; PID control; State space model;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.391