Abstract
Solid Oxide Fuel Cell (SOFC) power generation technology has broad application prospects and great research significance because of its environmental protection and high efficiency. Effective management and control of thermoelectric characteristics of SOFC power generation system is an important guarantee for safe, long-life and high-efficiency operation of the system. In this paper, based on virtual instrument technology, from the point of view of improving fuel utilization and optimizing the output performance of power generation system, the system structure frame of medium temperature SOFC power generation system is built. On the basis of modularization of SOFC power generation system, the mechanism model of each subsystem is built and integrated into the mechanism model of medium temperature SOFC power generation system. Compared with the traditional PID and single neuron adaptive PID control strategies, the generalized predictive control strategy designed in this paper is better in both the rapidity of power tracking and the temperature safety of the stack.
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