However, all the above control strategies need a detailed and accurate mathematical model, and the model controlled by the differential smoothing algorithm includes multiple differential terms, so it is very sensitive to the disturbance in practical application. The literature (11,12) uses a differential smoothing control strategy to decouple the flow and pressure. To solve this problem, the internal model decoupling control strategy is adopted in the literature (9,10) to decouple the flow and pressure, and the simulation shows that it has better robustness than the traditional PID decoupling. However, when the system load changes or the environment changes greatly, the model will be mismatched, and the performance of the system will be reduced. The transfer function matrix of the system is diagonalized by using the multivariable decoupling control theory, so that the feedforward compensation decoupling control is carried out, and the coupling relationship between the flow and pressure is effectively released. The air supply system is identified as a linear system with two inputs and two outputs through experiments. (8) took the speed of the air compressor and the opening of the back pressure valve as operating variables. However, the pressure response speed of the open-loop control is slow, and the overshoot phenomenon of the closed-loop control is serious, which cannot well respond to the requirements of the system. (7) compared the opening of the back pressure valve with the open-loop control through proportion integration differentiation (PID) controller on the basis of matching the rotating speed of the air compressor. Liyan and Shuhai (6) theoretically analyzed the coupling between the air inflow and pressure of the air intake system and suggested decoupling control between them. In recent years, many scholars have put forward the corresponding control strategies for air pressure and flow control. (4) Therefore, for the air supply system, to realize the coordinated control of the flow rate and pressure, it is necessary not only to ensure the stability of the pressure in the reactor but also to meet the rapid response of the pressure and flow rate in the reactor when the load changes. (3) At the same time, when the proton-exchange membrane fuel cell (PEMFC) is running, if the required power changes, the flow rate and pressure in the reactor will also change to meet different power requirements.
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Therefore, how to effectively control the stack inlet flow rate and pressure will affect the stack output performance. Both the air compressor and the back pressure valve in the air supply system will have an impact on the stack inlet pressure and flow rate, and the air compressor itself has a coupling relationship between the flow rate and pressure. (2) The hydrogen fuel cell is a multi-input and multi-output coupling system. As an important exploration direction in the energy revolution, hydrogen energy has become an important way for the transportation industry to achieve low-carbon and zero-carbon emissions, (1) and more and more countries have begun to vigorously develop hydrogen fuel cell vehicles. In order to improve the independent contribution, China is expected to achieve the goal of carbon neutrality in 2060. In recent years, the burning of fossil fuels has made environmental pollution more serious. The results show that the fuzzy neural network control can realize the decoupling between air intake flow and pressure and ensure that the air intake flow and pressure have a good follow-up, and the system’s response speed is fast. Then, the fuzzy neural network decoupling control strategy is proposed to make up for the shortcomings that the double closed-loop PID cannot achieve decoupling and the feedforward compensation decoupling does not have adaptability. On this basis, the double closed-loop proportion integration differentiation (PID) control and feedforward compensation decoupling PID control are carried out for the air supply system, respectively. In this paper, the dynamic model of the intake system is built based on the mechanism and experimental data. Therefore, the coordinated control of the two is the key to improving fuel cell output performance. In the actual operation of a proton-exchange membrane fuel cell, considering the load change, it is necessary not only to ensure the stability of reactor pressure but also to meet the rapid response of inlet pressure and flow in the process of change. The increase of air supply can improve the output characteristics of a fuel cell, but excessive gas supply will destroy the pressure balance of the anode and cathode. The air supply system is an important subsystem of hydrogen fuel cell engine. In order to achieve the goal of carbon neutralization, hydrogen plays an important role in the new global energy pattern, and its development has also promoted the research of hydrogen fuel cell vehicles.
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