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Robust observer-based-α-variable model-free supertwisting fractional order sliding mode control for nonlinear PEMFC system with uncertainties and disturbance
被引:0
作者:
Mohammed, Omer Abbaker Ahmed
[1
,2
]
Peng, Lingxi
[1
]
Hamid, Gomaa Haroun Ali
[2
]
Ishag, Ahmed Mohamed
[2
]
机构:
[1] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Peoples R China
[2] Univ Nyala, Coll Engn Sci, Nyala, Sudan
关键词:
PEMFC air supply system;
ultra-local model;
nonlinear disturbance observer;
super-twisting algorithm;
sliding mode control;
EXCESS RATIO CONTROL;
FUEL-CELL SYSTEM;
STATE OBSERVER;
DESIGN;
MANAGEMENT;
SCHEME;
WATER;
D O I:
10.1177/16878132241272165
中图分类号:
O414.1 [热力学];
学科分类号:
摘要:
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- alpha -variable model-free supertwisting fractional-order sliding mode control ( alpha ( t ) -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 alpha ( t ) -MF-STFOSMC is designed using super-twisting fractional-order sliding mode control (STFOSMC) algorithm. Furthermore, the stability of alpha ( t ) -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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页数:22
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