scholarly journals Steady-State Control of Fuel Cell Based on Boost Mode of a Dual Winding Motor

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4673
Author(s):  
Cheng Chang ◽  
Weibin Chang ◽  
Jiangang Ma ◽  
Yafu Zhou
Keyword(s):  
Steady State ◽  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Control Method ◽  
Reference Value ◽  
Proton Exchange ◽  
Power Sharing ◽  
State Control ◽  
The Stability ◽  
Steady State Control

In recent years, a dual winding motor drive has been proposed in the field of fuel cell vehicles due to its advantages of good performance and high robustness. This new topology and its basic control method have been widely investigated. However, the previous research has not considered the current dynamic property of a fuel cell when studying the power sharing control method, but this is an important research objective for fuel cell durability. Considering the current change principle of a fuel cell, an optimal steady-state control method based on a new dual winding motor architecture boost charging is proposed to optimize the fuel cell life. In addition, in view of the current circulation problem of the fuel cell side winding in the boost mode, a Bang-Bang-PI control algorithm with a relatively constant reference value is proposed to realize the current sharing control. On this basis, the optimized control of the output current ripple of the fuel cell is realized to ensure the steady-state of the proton exchange membrane fuel cell (PEMFC). Finally, the results show that this method can control the stability of the fuel cell efficiently.

scholarly journals Research on Anti-saturation Feedback Control Method for UAV Avionics System

2018 ◽  
Vol 232 ◽  
pp. 04008
Author(s):  
Xiao-Jun Zhang
Keyword(s):  
Steady State ◽  
Control Method ◽  
Control Process ◽  
System Control ◽  
State Control ◽  
Saturation Control ◽  
Disturbance Rejection Control ◽  
Feedback Control Method ◽  
Equivalent Control ◽  
Steady State Control

UAV avionics system is prone to saturation distortion under unsteady conditions, so anti-saturation control is needed. A control method of UAV avionics system based on anti-saturation feedback compensation is proposed. The anti-saturation control process of UAV avionics system is a multi-objective optimization process with multi-variables. The constrained parameter model of UAV avionics system control is constructed. Electromagnetic loss, torque, output power and other parameters are taken as constraint indexes, the original control information of UAV avionics system is treated with self-stabilization, the equivalent control circuit is designed, and the magnetic resonance transmission mode of avionics system is analyzed. An anti-saturation feedback tracking control method is used for steady-state control of the output voltage of the avionics system. The error compensation function is constructed to adjust the output adaptive parameters of the avionics system and the static anti-saturation compensator is constructed to compensate the power gain. The yaw error and the output steady-state error of the avionics system are reduced. The simulation results show that the proposed method has better output stability, lower output error, better real-time performance and better linear auto-disturbance rejection control performance.

scholarly journals Hierarchical Control of an Integrated Fuel Processing and Fuel Cell System

Materials ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 21 ◽  
Author(s):  
Markku Ohenoja ◽  
Mika Ruusunen ◽  
Kauko Leiviskä
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Control Method ◽  
Hierarchical Control ◽  
Cell System ◽  
Proton Exchange ◽  
Hydrogen Purification ◽  
Fuel Cell System ◽  
Fuel Processing ◽  
Control Models

An advanced model-based control method for the integrated fuel processing and a fuel cell system consisting of ethanol reforming, hydrogen purification, and a proton exchange membrane fuel cell is presented. For process identification, a physical model of the process chain was constructed. Subsequently, the simulated process was approximated with data-driven control models. Based on these control models, a hierarchical control framework consisting of model predictive controller and a global optimization algorithm was introduced. The performance of the new control method was evaluated with simulations. Results indicate that the new optimization concept enables resource efficient and fast control of the studied energy conversion process. Fast and efficient fuel cell process could then provide sustainable power source for autonomous and mobile applications in the future.

Surveillance Ship with Fuel Cell Performance Analysis and Design

2014 ◽  
Vol 496-500 ◽  
pp. 728-732
Author(s):  
Yean Der Kuan ◽  
Jing Yi Chang ◽  
Min Shiang Huang ◽  
Yen Yao Chu ◽  
Yan Ci Chen ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Clean Energy ◽  
Proton Exchange ◽  
Fuel Cell Performance ◽  
Analysis And Design ◽  
The Stability ◽  
Performance Analysis And Design ◽  
Exchange Membrane ◽  
Command Center

The main content of this paper is to design and fabricate a type of surveillance ship with a proton exchange membrane fuel cell (PEMFC), which adopts hydrogen as fuel cell to generate electricity to drive the surveillance ship. This ship has devices of reconnaissance, lighting, shooting. The reconnaissance device could return real-time images to the command center via cloud technique which could understand the current situation of the reconnaissance location. A buoyancy device is designed into the hull to enhance the stability of running. This paper starts from the functional design and system evaluation, then conducts the fabrication and assembly of the surveillance ship, and finally makes the electric integration and the tests of the PEMFC, surveillance ship running, and hydrogen consumption. The results of the research shows the developed surveillance ship has the advantages of low pollution, clean energy, no effect of day and night, and could be driven via only a small amount of hydrogen, which meets the trend of environmental protection and has the potential of applications in the future.

scholarly journals Research on Control Method of PEMFC Cathode Oxygen Excess Ratio

2020 ◽  
Vol 38 (5) ◽  
pp. 987-993
Author(s):  
Lei Xia ◽  
Dongdong Zhao ◽  
Fei Li ◽  
Xipo Wang ◽  
Jinhao Meng
Keyword(s):  
Fuel Cell ◽  
Sliding Mode Control ◽  
Proton Exchange Membrane ◽  
Control Method ◽  
Sliding Mode ◽  
Proton Exchange ◽  
Mode Control ◽  
Air Supply ◽  
Oxygen Excess ◽  
Oxygen Excess Ratio

Proton exchange membrane fuel cell (PEMFC) is considered to be a promising new energy technology due to its high power density and low operating temperature. Oxygen excess ratio (OER) is one of the main factors that affect the performance of fuel cell systems. The key of OER control is to prevent the "oxygen starvation" phenomena by controlling the air flow input of the cathode. The net output power is optimized to improve the performance of the system while maintaining the system working properly. First of all, a sixth-order dynamic model of PEMFC based on the air supply system is established in MATLAB, and the function equation of the oxygen excess ratio to the load current is obtained. Based on PID control, fuzzy control and super-twisting second-order sliding mode control, an improved fuzzy-sliding mode control strategy is proposed to realize OER control. Simulation results show that this method has good robustness and fast adjustment performance.

Nonlinear Thermal Modelling and Control of a PEM Fuel Cell Stack

2005 ◽  
Author(s):  
Jason R. Kolodziej
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Control Method ◽  
Pem Fuel Cell ◽  
Proton Exchange ◽  
Control Technique ◽  
Coolant Temperature ◽  
Fuel Cell Stack ◽  
Nonlinear Control Method ◽  
And Control

The purpose of this paper is to present a nonlinear control method for accurately maintaining coolant temperature within a proton exchange membrane (PEM) fuel cell stack by controlling coolant flow rate. Due to the current sensitive nature of the membrane and a strict relative humidity requirement it is critical to precisely control the internal temperature of the fuel cell. First, an optimization-based parameter identification is applied to determine unknown coefficients to the nonlinear thermal model of the fuel cell stack. The stack is modelled according to a lumped parameter Continuous-flow Stirred Tank Reactor (CSTR) form. The paper then presents a nonlinear disturbance rejection control technique to accomplish the necessary temperature control. Experimental data from a 17-cell fuel cell stack is used for both the modelling and control portions of this work.

scholarly journals Distributed Imitation-Orientated Deep Reinforcement Learning Method for Optimal PEMFC Output Voltage Control

2021 ◽  
Vol 9 ◽  
Author(s):  
Jiawen Li ◽  
Yaping Li ◽  
Tao Yu
Keyword(s):  
Reinforcement Learning ◽  
Control Strategy ◽  
Output Voltage ◽  
Proton Exchange Membrane ◽  
Control Method ◽  
Voltage Control ◽  
Proton Exchange ◽  
Gradient Algorithm ◽  
Voltage Control Strategy ◽  
The Stability

In order to improve the stability of proton exchange membrane fuel cell (PEMFC) output voltage, a data-driven output voltage control strategy based on regulation of the duty cycle of the DC-DC converter is proposed in this paper. In detail, an imitation-oriented twin delay deep deterministic (IO-TD3) policy gradient algorithm which offers a more robust voltage control strategy is demonstrated. This proposed output voltage control method is a distributed deep reinforcement learning training framework, the design of which is guided by the pedagogic concept of imitation learning. The effectiveness of the proposed control strategy is experimentally demonstrated.

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