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Temperature gradient control of a solid oxide fuel cell stack

机译:固体氧化物燃料电池堆的温度梯度控制

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摘要

For a solid oxide fuel cell, temperature gradient has a great effect on its efficiency and durability. In recent years, several observers are developed to estimate the temperature gradient. However, the temperature gradient control strategies with suitable observers are not seen. Therefore, a compound nonlinear controller based on a high-order sliding mode observer is proposed to control the temperature gradient at desired values to improve the solid oxide fuel cell performance. The high-order sliding mode observer is firstly employed to estimate immeasurable internal temperature. Under the interference of the variations in the initial values of the internal states and measurement noises, the high-order sliding mode observer can estimate the internal temperature distribution with a high precise and a fast convergence. The compound controller which includes a feedback linearization controller and a feedforward controller is then applied to regulate the estimated temperature gradient. During load current changes, the compound controller has the best dynamic performance compared with the feedback linearization controller. However, the observed temperature gradient with the two control strategies can both reach the desired value.
机译:对于固体氧化物燃料电池,温度梯度对其效率和耐久性有很大影响。近年来,开发了一些观测器来估计温度梯度。然而,没有看到具有合适观察者的温度梯度控制策略。因此,提出了一种基于高阶滑模观测器的复合非线性控制器,将温度梯度控制在期望值,以提高固体氧化物燃料电池的性能。首先采用高阶滑模观测器来估算无法测量的内部温度。在内部状态的初始值变化和测量噪声的干扰下,高阶滑模观测器可以高精度,快速收敛地估算内部温度分布。然后将包括反馈线性化控制器和前馈控制器的复合控制器应用于调节估计的温度梯度。在负载电流变化期间,与反馈线性化控制器相比,复合控制器具有最佳的动态性能。但是,使用两种控制策略观察到的温度梯度都可以达到所需值。

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