Multi-Objective Optimization Methods of Plate Solid Oxide Fuel Cell's Temperature System

Abstract:

The working environment of Solid Oxide Fuel Cells (SOFC) includes high temperature and speedy chemical reaction. The improved control structure and optimization method for the simplified temperature system of SOFC are proposed in this paper. It designs a real-time cascade PID controller for dynamic reactive temperatures of SOFC which vary significantly as the external disturbance or operating mode changes. Considering the efficiency of fuel utility and output power are incommensurable multiple goals, some fuzzy-based rules are introduced to solve these complex multi-objective optimization problems. The experiments’ result shows that the controllers have good robustness and quickness when the system is under the mode with external disturbances.

• Periodical: Advanced Materials Research (Volumes 694-697)
• Pages: 728-733
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.694-697.728
• Online since: May 2013
• Authors: Xin Liu, Xiao Hong Hao, Xin Hua Yang, Ai Min An, Hao Chen Zhang
• Keywords: Cascade PID Controller, Dynamic Temperature, Multi-Objective Optimization (MOP), Solid Oxide Fuel Cell (SOFC)

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