Robust observer-based-α-variable model-free supertwisting fractional order sliding mode control for nonlinear PEMFC system with uncertainties and disturbance

IF 2.1 4区 工程技术 Advances in Mechanical Engineering Pub Date : 2024-09-10 DOI:10.1177/16878132241272165
Omer Abbaker Ahmed Mohammed, Lingxi Peng, Gomaa Haroun Ali Hamid, Ahmed Mohamed Ishag
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Abstract

The service life and efficiency of proton exchange membrane fuel cells (PEMFCs) are significantly related to the control performance of the air supply system. Therefore, this research develops a novel robust observer-based- [Formula: see text]-variable model-free supertwisting fractional-order sliding mode control ([Formula: see text]-MF-STFOSMC) for complex nonlinear PEMFC air supply system with unmeasurable state variables, model uncertainties, and external disturbance. First, the fifth-order nonlinear PEMFC air supply system model is presented, and the unmeasured state variables are estimated using a nonlinear disturbance observer (NDOB1). Second, the ultra-local model (ULM) algorithm is employed to reconstruct the complex nonlinear PEMFC air supply system, avoiding the need for precise modeling and reducing the controller design difficulty. To estimate and compensate for the uncertain dynamics in the ULM algorithm, another NDOB2 is proposed to realize zero estimation error and finite-time observation. Besides, to achieve optimal control performance with less input chattering, finite-time convergence, and fast response speed, the [Formula: see text]-MF-STFOSMC is designed using super-twisting fractional-order sliding mode control (STFOSMC) algorithm. Furthermore, the stability of [Formula: see text]-MF-STFOSMC via a closed-loop system is verified using the Lyapunov theorem. Finally, the nonlinear PEMFC air supply system model with the proposed controller is realized in MATLAB/Simulink environment, and the simulation results are given to show the superiority and effectiveness of the proposed technique.
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针对具有不确定性和干扰的非线性 PEMFC 系统的基于鲁棒观测器的α变量无模型超扭曲分数阶滑动模式控制
质子交换膜燃料电池(PEMFC)的使用寿命和效率与供气系统的控制性能密切相关。因此,本研究针对具有不可测状态变量、模型不确定性和外部扰动的复杂非线性 PEMFC 供气系统,开发了一种新颖的基于鲁棒观测器的无变量模型超扭曲分数阶滑动模态控制([公式:见正文]-MF-STFOSMC)。首先,介绍了五阶非线性 PEMFC 供气系统模型,并使用非线性扰动观测器(NDOB1)估计了不可测状态变量。其次,采用超局部模型(ULM)算法重构复杂的非线性 PEMFC 供气系统,避免了精确建模的需要,降低了控制器设计的难度。为了估计和补偿 ULM 算法中的不确定动态,提出了另一种 NDOB2 算法,以实现零估计误差和有限时间观测。此外,为了实现输入颤振小、有限时间收敛和响应速度快的最佳控制性能,利用超扭曲分数阶滑动模态控制(STFOSMC)算法设计了[公式:见正文]-MF-STFOSMC。此外,利用 Lyapunov 定理通过闭环系统验证了 [公式:见正文] -MF-STFOSMC 的稳定性。最后,在 MATLAB/Simulink 环境中实现了带有所提控制器的非线性 PEMFC 供气系统模型,并给出了仿真结果,以显示所提技术的优越性和有效性。
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来源期刊
Advances in Mechanical Engineering
Advances in Mechanical Engineering Engineering-Mechanical Engineering
自引率
4.80%
发文量
353
期刊介绍: Advances in Mechanical Engineering (AIME) is a JCR Ranked, peer-reviewed, open access journal which publishes a wide range of original research and review articles. The journal Editorial Board welcomes manuscripts in both fundamental and applied research areas, and encourages submissions which contribute novel and innovative insights to the field of mechanical engineering
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