By Topic

Real-Time Implementation of Adaptive State Feedback Predictive Control of PEM Fuel Cell Flow Systems Using the Singular Pencil Model Method

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Shi-Wen Tong ; Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing ; Guo-Ping Liu ; Xiaochun George Wang ; Min Tan

This brief implements the singular pencil model and the extended Kalman filter to estimate the states and parameters simultaneously with unknown noise. Combined with state feedback predictive control, the proposed method can incorporate online estimation of both states and parameters and the controller design. Stability and observability of the states and parameters vector are analyzed. Simulation and online implementation in proton exchange membrane (PEM) fuel cell flow systems illustrate the strong disturbance rejection ability of this method. This brief uses the adaptive state feedback predictive controller, which based on the singular pencil model method, to control the cathode pressure and the proportional-integral (PI) controller to control the anode pressure. The proposed method works well to track the dynamics of the process at an idle and a given load.

Published in:

IEEE Transactions on Control Systems Technology  (Volume:17 ,  Issue: 3 )