Dynamics and Estimator-Based Nonlinear Control of a PEM Fuel Cell
Dynamics and Estimator-Based Nonlinear Control of a PEM Fuel Cell
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DOI：
10.1109/tcst.2017.2695165
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发表时间：
2018-05
影响因子：
4.8
通讯作者：
K. Sankar;A. Jana
中科院分区：
文献类型：
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作者：
K. Sankar;A. Jana
针对多变量非线性质子交换膜燃料电池，提出了一种基于估计器的非线性全局线性化控制器。为了代表实际过程，我们采用了模拟模型，然后用实验数据进行验证。为了形成一个状态估计器，预测模型推导出与减少数量的模型方程，只考虑被控变量作为真实状态，保持其他增广状态，没有动态。而不是计算所有的状态，这是一个相当常见的现象，大多数的估计，建议的自适应状态观测器（阿索）计算有限数量的状态，按照GLC的要求。这又导致了大的过程/模型失配，试图通过引入阿索的可变调谐参数来减少其影响。随后，GLC结构的综合与组合的非线性Transformer（输入输出线性化状态反馈），双环外部线性控制器，和自适应状态观测器。所提出的GLC-ASO计划的优越性，最后示出了传统的双环比例积分控制器的设定点跟踪和干扰抑制方面。
In this paper, an estimator-based nonlinear globally linearizing controller (GLC) is proposed for regulating a multivariable nonlinear proton exchange membrane fuel cell. To represent the actual process, we have adopted a simulated model and then validated it with experimental data. Aiming to formulate a state estimator, the predictor model is derived with a reduced number of model equations with considering only the controlled variables as true states, keeping others as augmented states with no dynamics. Instead of computing all states, which is quite a common phenomenon for most of the estimators, the proposed adaptive state observer (ASO) computes a limited number of states as per the GLC requirement. This, in turn, leads to a large process/model mismatch, the effect of which is attempted to reduce by introducing a variable tuning parameter of ASO. Subsequently, the GLC structure is synthesized with combining a nonlinear transformer (input–output linearizing state feedback), a dual-loop external linear controller, and an adaptive state observer. The superiority of the proposed GLC-ASO scheme is finally shown over a conventional dual-loop proportional–integral controller in terms of set point tracking and disturbance rejection.