Control‐oriented modeling and robust nonlinear triple‐step controller design for an air‐feed system for polymer electrolyte membrane fuel cells

Hu, Yunfeng; Chen, Huan; Gong, Xun; Yu, Shuyou; Gao, Jinwu; Chen, Hong

doi:10.1002/asjc.2146

Cited by 22 publications

(3 citation statements)

References 30 publications

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“…A robust reset controller based on a field programmable gate array was proposed by Wu et al [25] to improve the system's robustness, and OER has a better tracking control effect than fuzzy PID. Hu et al [26] used a robust nonlinear controller based on a three-step method to track OER and construct feedforward and feedback control for tracking errors. Compared to conventional PID control, this control strategy is more effective, but the performance of this control strategy is poor when disturbances and faults occur.…”

Section: Single Control Strategymentioning

confidence: 99%

Research Progress on Gas Supply System of Proton Exchange Membrane Fuel Cells

Cheng,

Wu,

Mou

et al. 2024

Processes

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Proton exchange membrane fuel cells (PEMFCs) are attracting attention for their green, energy-saving, and high-efficiency advantages, becoming one of the future development trends of renewable energy utilization. However, there are still deficiencies in the gas supply system control strategy that plays a crucial role in PEMFCs, which limits the rapid development and application of PEMFCs. This paper provides a comprehensive and in-depth review of the PEMFC air delivery system (ADS) and hydrogen delivery system (HDS) operations. For the ADS, the advantages and disadvantages of the oxygen excess ratio (OER), oxygen pressure, and their decoupling control strategies are systematically described by the following three aspects: single control, hybrid control, and intelligent algorithm control. Additionally, the optimization strategies of the flow field or flow channel for oxygen supply speeds and distribution uniformity are compared and analyzed. For the HDS, a systematic review of hydrogen recirculation control strategies, purge strategies, and hydrogen flow control strategies is conducted. These strategies contribute a lot to improving hydrogen utilization rates. Furthermore, hydrogen supply pressure is summarized from the aspects of hybrid control and intelligent algorithm control. It is hoped to provide guidance or a reference for research on the HDS as well as the ADS control strategy and optimization strategy.

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Section: Single Control Strategymentioning

confidence: 99%

Research Progress on Gas Supply System of Proton Exchange Membrane Fuel Cells

Cheng,

Wu,

Mou

et al. 2024

Processes

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“…Specifically, when the required load current changes abruptly, insufficient air supplied to the stack cathode will cause the so-called oxygen starvation phenomenon that implies many adverse consequences, such as a sudden drop in the stack output voltage, local hot spots on the proton exchange membrane and irreversible performance degradation. 6,7 However, although excess air supply can avoid oxygen starvation, it may reduce the net output power of PEMFC system since this comes at the expense of increasing the power consumption of air compressor. 8 In order to solve this contradiction, the most effective strategy is to regulate the oxygen excess ratio (OER) to its reference value/range by controlling the air flow rate generated by the compressor.…”

Section: Introductionmentioning

confidence: 99%

Chattering-free nested adaptive terminal sliding mode control for PEMFC air supply system with event-triggered communication

Zhang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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Aiming at the proton exchange membrane fuel cell air supply system subject to time-varying external load, system uncertainty and limited network communication resources, a chattering-free event-triggered nested adaptive terminal sliding mode controller is first developed to achieve the tracking control of oxygen excess ratio. First, an integral terminal sliding mode function with recursive structure is designed to eliminate the reaching phase of sliding mode control and ensure that the high-frequency switching term only appears in the first derivative of control law. Then, to alleviate the communication burden, an event-triggered control strategy is adopted for the controller-to-actuator channel. Furthermore, a nested dual-layer adaptive law is constructed to adaptively update the robust gain without overestimation, so as to counteract the composite disturbance composed of the lumped system uncertainty and event-triggering error, which does not require priori upper bounds of the composite disturbance and its derivative. Besides, it is theoretically proved that the output tracking error can converge to the origin in finite time and the Zeno behavior can be strictly excluded. Finally, the adaptability and superiority of the proposed event-triggered nested adaptive terminal sliding mode controller are fully validated by a series of numerical simulations and comparative analysis.

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“…For the PEMFC air supply system, number of control strategies have been investigated in the literature such as proportional-integral-derivative (PID) controller [11], linear-quadratic regulator (LQR)/linear-quadratic-Gaussian (LQG) control [12], feedforward control [13], model predictive control (MPC) [10,14], the maximum efficiency control strategy (MECS) [15] and non-linear triple step controller [16]. Recently, soft computing techniques have been gained much interest for the control of the PEMFC air supply system.…”

Section: Introductionmentioning

confidence: 99%

Adaptive integral type‐terminal sliding mode control for PEMFC air supply system using time delay estimation algorithm

Abbaker

Wang

Tian

2020

Asian Journal of Control

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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 cascadedadaptive 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.

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Control‐oriented modeling and robust nonlinear triple‐step controller design for an air‐feed system for polymer electrolyte membrane fuel cells

Cited by 22 publications

References 30 publications

Research Progress on Gas Supply System of Proton Exchange Membrane Fuel Cells

Research Progress on Gas Supply System of Proton Exchange Membrane Fuel Cells

Chattering-free nested adaptive terminal sliding mode control for PEMFC air supply system with event-triggered communication

Adaptive integral type‐terminal sliding mode control for PEMFC air supply system using time delay estimation algorithm

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