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An LPV control approach for a fuel cell power generator air supply system

机译:用于燃料电池发电机供气系统的LPV控制方法

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In this paper, the control of the air supply system of a fuel cell power generator is addressed. The management of the air dynamic entering the fuel cell is assured by the control of the air flow of a compressor. The air supply subsystem is controlled to keep a desired oxygen excess ratio, this allows to improve the fuel cell performance. Linear Matrix Inequalities (LMI) tools are extensively used in this paper as a solution to the multivariable robust control problem. Robust multivariable H∞ controllers are considered. A special interest is also given to reduced order controllers, specifically simple PI structures with desired H∞ performances. The models used for control implementation were identified from measures on a real test-bench set-up. Two control strategies are proposed, first a speed controller for the air compressor is designed; then the problem of a robust control of the system subject to some model uncertainties is solved using the Linear Parameter Varying (LPV) approach. The validation of the closed-loop control strategies is achieved using time-domain simulation analysis and the gain scheduled approach.
机译:在本文中,解决了对燃料电池发电机的空气供应系统的控制。通过控制压缩机的空气流量来确保对进入燃料电池的空气动力的管理。控制空气供应子系统以保持所需的氧气过量比,这可以改善燃料电池的性能。线性矩阵不等式(LMI)工具在本文中被广泛用作解决多变量鲁棒控制问题的方法。考虑了鲁棒的多变量H∞控制器。还特别关注降阶控制器,特别是具有所需H∞性能的简单PI结构。根据实际测试平台设置中的措施,确定了用于控制实施的模型。提出了两种控制策略,首先是设计用于空气压缩机的速度控制器;其次是控制系统。然后使用线性参数变化(LPV)方法解决了系统在模型不确定性下的鲁棒控制问题。闭环控制策略的验证是使用时域仿真分析和增益调度方法实现的。

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