Robust Nonlinear Controller Design for DC-AC Converter in Grid Connected Fuel Cell System

Author(s):  
Md Rasel Mahmud ◽  
Hemanshu Pota
Author(s):  
Moutabir Ahmed ◽  
Abdelmounim Elhassane ◽  
Aboulfatah Mohamed

This paper presents the model of a fuel cell and the design and simulation of a cascade of two DC-DC converters. First, a detailed mathematical model of fuel cell is presented and simulated. Then, a nonlinear model of the whole controlled system is developed and a robust nonlinear controller of currents is synthesized using a passivity-based control. A formal analysis based on Lyapunov stability and average theory is developed to describe the control currents loops performances. A classical PI controller is used for the voltages loops. The simulation models have been developed and tested in the MATLAB / SIMULINK. Simulated results are displayed to validate the feasibility and the effectiveness of the proposed strategy.


Author(s):  
Moutabir Ahmed ◽  
Abdelmounim Elhassane ◽  
Aboulfatah Mohamed

This paper presents the model of a fuel cell and the design and simulation of a cascade of two DC-DC converters. First, a detailed mathematical model of fuel cell is presented and simulated. Then, a nonlinear model of the whole controlled system is developed and a robust nonlinear controller of currents is synthesized using a passivity-based control. A formal analysis based on Lyapunov stability and average theory is developed to describe the control currents loops performances. A classical PI controller is used for the voltages loops. The simulation models have been developed and tested in the MATLAB/SIMULINK. Simulated results are displayed to validate the feasibility and the effectiveness of the proposed strategy.


2013 ◽  
Vol 479-480 ◽  
pp. 934-937
Author(s):  
Jium Ming Lin ◽  
Cheng Hung Lin

This paper proposes a novel fuel cell system design by integrating both methods of Ziegler-Nichols-based PID control and the intelligent fuzzy control, thus the relative stability and disturbance rejection properties can be reserved. This new method is not proposed before for fuel cell control system design. By using PID method for the normal case of fuel cell current requirement, the overshoot of the temperature is 45%, the temperature rise and the settling times are 0.65 sec and 2 sec, respectively. However, by using intelligent fuzzy Ziegler-Nichols-based PID controller design, the overshoot of the temperature is 12%, the temperature rise and the settling times are 0.7 sec and 1 sec, respectively. Thus the proposed method is better. Moreover, this paper also takes the system disturbance variation effect into consideration, e.g. the current requirement is increased by 100% for climbing a slope or speed-up conditions; note a large 60% temperature overshoot is produced by using Ziegler-Nichols based PID controller. But the overshoot is only 20% by using the intelligent fuzzy Ziegler-Nichols-based PID controller. Thus the proposed system is more robust.


2017 ◽  
Vol 10 (4) ◽  
pp. 359 ◽  
Author(s):  
Mohammed El Malah ◽  
Abdellfattah Ba-razzouk ◽  
M’hammed Guisser ◽  
Elhassane Abdelmounim ◽  
Mhamed Madark ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document