This paper proposes a new cascaded adaptive integral type-terminal sliding mode control based on time delay estimation algorithm (cascaded-AITSMC-TDE) for the proton exchange membrane fuel cell (PEMFC) system with unknown uncertainties. The proposed cascaded-AITSMC-TDE scheme is composed of two components: time delay estimation (TDE) technique and cascaded-adaptive integral type-terminal sliding mode control (AITSMC). The TDE is employed to approximate unknown uncertain dynamic. The cascaded-AITSMC is integrated with TDE to control oxygen excess ratio (stoichiometry) and air flow rate keeping a proper system performance under load disturbance, avoiding the oxygen starvation. The stability of the proposed cascaded-AITSMC-TDE via closed-loop system is verified by Lyapunov approach. In order to validate the effectiveness and robustness of the proposed cascaded-AITSMC-TDE, a comparative study with a single loop AITSMC, cascaded integral type-terminal sliding mode control (cascaded-ITSMC) and cascaded integral sliding mode based-time delay estimation (cascaded-ISMC-TDE) is carried out, and the corresponding simulation results exhibit that the proposed controller provides fast convergence of tracking trajectories with less fluctuations.

中文翻译：

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基于时延估计算法的PEMFC送风系统自适应积分型终端滑模控制

针对不确定性未知的质子交换膜燃料电池（PEMFC）系统，提出一种基于时延估计算法的级联自适应积分型终端滑模控制（cascaded-AITSMC-TDE）。所提出的级联AITSMC-TDE方案由两部分组成：时间延迟估计（TDE）技术和级联自适应积分型终端滑模控制（AITSMC）。TDE 用于近似未知的不确定动态。级联-AITSMC 与 TDE 集成以控制氧气过量比（化学计量）和空气流量，在负载扰动下保持适当的系统性能，避免氧气不足。Lyapunov方法验证了所提出的通过闭环系统的级联AITSMC-TDE的稳定性。