This study represents a comparison of novel robust adaptive sliding mode control using stochastic gradient descent (ASMCSGD) versus the super twisting algorithm (STA) for the proton exchange membrane fuel cell (PEMFC) power system. PEMFC has been constantly encountered with external disturbances such as inlet gas pressures and temperature fluctuations which a novel adaptive control law should be designed to be robust against the mentioned perturbations. The proposed ASMCSGD is based on the conventional sliding mode control (SMC), which guarantees robustness and restraining external disturbances. As is common, the main drawback of conventional SMC is the generation of a chattering phenomenon. Therefore, by using the stochastic gradient descent (SGD), a novel adaptive control law is designed. Hence, the SGD can continuously calculate the adaptive gain and then guarantee robustness besides minimizing the chattering phenomenon. The stability of the PEMFC power system for both controllers ASMCSGD and STA is demonstrated via the
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机译：本研究比较了质子交换膜燃料电池（PEMFC）电力系统使用随机梯度下降（ASMCSGD）与超扭曲算法（STA）的新型鲁棒自适应滑模控制。质子交换膜燃料电池经常受到外部扰动，如入口气体压力和温度波动，应设计一种新的自适应控制律，以抵御上述扰动。所提出的ASMCSGD基于传统的滑模控制（SMC），保证了鲁棒性和抑制外部干扰。通常，传统SMC的主要缺点是产生颤振现象。因此，利用随机梯度下降（SGD），设计了一种新的自适应控制律。因此，SGD可以连续计算自适应增益，然后保证鲁棒性，同时最大限度地减少抖动现象。PEMFC 电源系统对控制器 ASMCSGD 和 STA 的稳定性通过
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