Feedforward and Desired Dynamic Equation Control for Solid Oxide Fuel Cell System

Zhenlong Wu, Pengzhen Li, Yanhong Liu, Xiaoyuan Li, Donghai Li, Yangquan Chen
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Abstract

The solid oxide fuel cell (SOFC) system, with almost no pollution, low noise and high efficiency, is playing a more and more significant role in power supply. However, the regulation of output voltage and desired range of the fuel utilization, caused by its strong nonlinearity, system uncertainty and ever-changing external current load, are challengeable. To relieve these challenges, this paper proposes a hybrid control scheme combing the physical feedforward and desired dynamic equation (DDE) control. By analyzing these control challenges theoretically, a physical feedforward is applied to accelerate the system response and keep the fuel utilization in the desired range, and DDE control is proposed to handle system nonlinearity, uncertainty and external disturbances. Then a practical and effective tuning method for the DDE parameters is provided. Finally, the proposed and comparative control strategies are applied to the SOFC system. Simulation results show that the proposed control scheme has the strongest ability to reject the external current load and handle system uncertainties. Besides, it can guarantee that fuel utilization always locates in a reasonable range.
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固体氧化物燃料电池系统前馈与期望动态方程控制
固体氧化物燃料电池(SOFC)系统以其几乎无污染、低噪音和高效率的特点,在电力供应领域发挥着越来越重要的作用。然而,由于其较强的非线性、系统的不确定性和不断变化的外部电流负载,使得燃料利用的输出电压和期望范围的调节具有挑战性。为了解决这些问题,本文提出了一种将物理前馈和期望动态方程(DDE)控制相结合的混合控制方案。从理论上分析了这些控制挑战,采用物理前馈加速系统响应并使燃料利用率保持在期望范围内,并提出了DDE控制来处理系统的非线性、不确定性和外部干扰。给出了一种实用有效的DDE参数整定方法。最后,将所提出的控制策略和比较控制策略应用于SOFC系统。仿真结果表明,该控制方案具有较强的抑制外部电流负载和处理系统不确定性的能力。同时可以保证燃料利用率始终处于合理的范围内。
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