Reduced‐order active disturbance rejection control method for PEMFC air intake system based on the estimation of oxygen excess ratio

Ma, Libo; Zhao, Hongshan; Qu, Yuehan; Zhao, Shice; Yu, Yang; Wei, Wuqing

doi:10.1049/rpg2.12647

Cited by 7 publications

(3 citation statements)

References 30 publications

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“…The research shows that the response speed and overshoot of this control strategy are better than those of traditional PI control, but the adaptability of the control system is not strong, and the control precision is not high. Therefore, Ma et al [42] adopted a nonlinear, three-step controller combined with an observer; Ma et al [43] proposed a reduced-dimensional active disturbance rejection controller combined with a reduced-dimensional extended state observer; and Deng et al [44] used a cascade adaptive sliding mode (NC-ASM)-controller combined with a high-order sliding mode observer. The results of experimental and simulation studies show that the control system's accuracy and robustness can be effectively improved by adding a nonlinear control strategy, an active disturbance suppression control strategy, and an adaptive sliding mode control strategy to the hybrid control strategy system.…”

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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“…Therefore, a state observer is usually needed to estimate the unmeasurable states of the controlled plant. In [12], based on a reduced third-order nonlinear model, a disturbance extended state observer was designed to estimate the cathode pressure parameters, thus the real-time estimate of OER was realized. Jiang et al [13] proposed an observer-based model predictive control scheme for the control of the OER; the sliding mode PI observer was used to estimate the cathode pressure and the OER.…”

Section: Introductionmentioning

confidence: 99%

Control of Oxygen Excess Ratio for a PEMFC Air Supply System by Intelligent PID Methods

Yin

Chen

2023

Sustainability

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The hydrogen fuel cell is a quite promising green device, which could be applied in extensive fields. However, as a complex nonlinear system involving a number of subsystems, the fuel cell system requires multiple variables to be effectively controlled. Oxygen excess ratio (OER) is the key indicator to be controlled to avoid oxygen starvation, which may result in severe performance degradation and life shortage of the fuel cell stack. In this paper, a nonlinear air supply system model integrated with the fuel cell stack voltage model is first built, based on physical laws and empirical data; then, conventional proportional-integral-derivative (PID) controls for the oxygen excess ratio are implemented. On this basis, fuzzy logic inference and neural network algorithm are integrated into the conventional PID controller to tune the gain coefficients, respectively. The simulation results verify that the fuzzy PID controller with seven subsets could clearly improve the dynamic responses of the fuel cells in both constant and variable OER controls, with small overshoots and the fastest settling times of less than 0.2 s.

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“…Deng et al [30] designed a high-order sliding mode observer, but it requires solving complex observability matrices in real time. To reduce the complexity of the observer, a nonlinear disturbance observer [21] and extended state observers [31][32][33] were effectively employed to estimation of cathode pressure and OER; however, the use of fixed observation gains is difficult to maintain a desired balance between antidisturbance ability and antinoise ability, which may not always guarantee satisfactory estimation accuracy over a wide operating range. Furthermore, the high gain observer (HGO) has been widely used to estimate unavailable variables in other engineering fields [34,35] due to less need for prior information about the controlled system, which is rarely mentioned in the field of PEM fuel cell.…”

Section: Introductionmentioning

confidence: 99%

Estimation‐Based Event‐Triggered Adaptive Terminal Sliding Mode Control without Pressure Sensors for a Polymer Electrolyte Membrane Fuel Cell Air Feeding System

Zhang

et al. 2023

Energy Tech

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Appropriate control for a polymer electrolyte membrane fuel cell air feeding system is vulnerable to load current disturbance, parameter uncertainties, measurement noise, faulty sensors, and limited communication resources. Considering these practical issues, this study presents a novel estimation‐based event‐triggered nonlinear control scheme without pressure sensors to regulate the oxygen excess ratio (OER) at its optimal reference. First, to exactly reconstruct the unmeasured OER, a uniform robust exact differentiator and an adaptive high gain observer are developed to estimate the supply manifold pressure and the cathode pressure, respectively, thus redundant sensors and development cost can be saved. Then, a reduced‐order high gain observer is constructed to approximate the unmodeled lumped disturbance consisting of external disturbances and system uncertainties, which helps to decrease the control gain and improve the robustness. Further, an event‐triggered adaptive terminal sliding mode controller with disturbance compensation is proposed to guarantee accurate and fast OER tracking control with integral absolute error (IAE) of 0.447 and average settling time of 0.9 s while avoiding chattering effect and unnecessary communication in the controller‐to‐actuator channel. The comparison results illustrate that the proposed approach achieves superior estimation and control of OER with satisfactory robustness to parameter perturbations (less than 4% deviation in IAE).

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Reduced‐order active disturbance rejection control method for PEMFC air intake system based on the estimation of oxygen excess ratio

Cited by 7 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

Control of Oxygen Excess Ratio for a PEMFC Air Supply System by Intelligent PID Methods

Estimation‐Based Event‐Triggered Adaptive Terminal Sliding Mode Control without Pressure Sensors for a Polymer Electrolyte Membrane Fuel Cell Air Feeding System

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