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Robust Model-Free Adaptive Interval Type-2 Fuzzy Sliding Mode Control for PEMFC System Using Disturbance Observer

机译:使用干扰观测器的PEMFC系统的鲁棒式无模型自适应间隔Type-2模糊滑模控制

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摘要

This paper proposes a novel robust model-free adaptive interval type-2 fuzzy sliding mode control (MF-AIT2FSMC) for the proton exchange membrane fuel cell (PEMFC) system using nonlinear disturbance observer. The main control objective is to adjust the oxygen stoi-chiometry at its reference trajectory under load disturbances and parameter uncertainties, to avert the oxygen starvation problem and to obtain maximum net power. The referred MF-AIT2FSMC control strategy is composed of three parts: first, a nonlinear disturbance observer is proposed to estimate both oxygen and nitrogen partial pressures which are considered as unmeasurable variables. Second, a nonlinear disturbance observer-based intelligent proportional-integral (NDBO-iPI) control is derived, whereas the NDBO is used to estimate the unmodeled system dynamics via the knowledge of input and output signals. Third, adaptive interval type-2 fuzzy nonsingular fast terminal sliding mode control is inserted to NDBO-iPI control to compensate the NDBO estimation error, enhance the control performance and ensure the global controlled system stability. Furthermore, the entire controlled system stability is verified via the Lyapunov approach. Finally, the corresponding numerical simulation on the PEMFC system is obtained to demonstrate the effectiveness and efficiency of the proposed MF-AIT2FSMC technique by comparing with the NDBO-iPI and standard PID controller.
机译:本文提出了一种用于质子交换膜燃料电池(PEMFC)系统的新型鲁棒的无模型自适应间隔-2型模糊滑动模式控制(MF-AIT2FSMC),使用非线性干扰观测器。主控制目的是在负载障碍和参数不确定性下在其参考轨迹处调节氧气仪,以避免氧饥饿问题并获得最大净功率。参考的MF-AIT2FSMC控制策略由三个部分组成:首先,提出了非线性干扰观察者来估计被认为是不可批量的变量的氧气和氮气部分压力。其次,导出了基于非线性干扰观察者的智能比例积分(NDBO-IPI)控制,而NDBO用于通过输入和输出信号的知识来估计未拼模系统动态。第三,将自适应间隔类型-2模糊非垂直终端滑动模式控制插入NDBO-IPI控制,以补偿NDBO估计误差,增强控制性能并确保全局控制系统稳定性。此外,通过Lyapunov方法验证了整个受控系统稳定性。最后,获得了PEMFC系统上的相应数值模拟,以演示所提出的MF-AIT2FSMC技术的有效性和效率,通过与NDBO-IPI和标准PID控制器进行比较。

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