Browsing by Author "Swain, P."

Now showing 1 - 4 of 4

Modeling, simulation & optimal control of non-linear PEM fuel cell with disturbance input
(2015) Swain, P.; Jena, D.
Fuel cell are considered to be one of the well- known developed green technologies among other renewable energy sources with high potential capability. In this paper, fifth order model of a PEM fuel cell has been considered which seems to be quite complex. The Jacobian linearization of the proposed system has been carried out around an operating point in non-coordinate standard form to take into consideration proper initial conditions well as equilibrium point. Conventional controllers like PID were used to regulate the pressure change of hydrogen and oxygen at the desired value despite of changes in the fuel cell current. Since it is known that large deviations in pressure can cause severe membrane damage in the fuel cell. As the equilibrium point at steady state becomes unique, hence Jacobian linearization of the original system has been done and the state space matrices of the linearized system were found using MATLAB Symbolic Tool Box. The linearized system is asymptotically stable as well as controllable and observable. During the optimal control design, hydrogen and oxygen partial flow rates are defined as the control variables and the hydrogen and oxygen pressure are appropriately defined as the control objectives. The simulation result shows that the linearized PEMFC model with conventional PID controller where the controller parameters are tuned using Genetic Algorithm with ISE and ISTE control strategies were having less tracking error. � 2015 IEEE.
Modeling, simulation & optimal control of non-linear PEM fuel cell with disturbance input
(Institute of Electrical and Electronics Engineers Inc., 2015) Swain, P.; Jena, D.
Fuel cell are considered to be one of the well- known developed green technologies among other renewable energy sources with high potential capability. In this paper, fifth order model of a PEM fuel cell has been considered which seems to be quite complex. The Jacobian linearization of the proposed system has been carried out around an operating point in non-coordinate standard form to take into consideration proper initial conditions well as equilibrium point. Conventional controllers like PID were used to regulate the pressure change of hydrogen and oxygen at the desired value despite of changes in the fuel cell current. Since it is known that large deviations in pressure can cause severe membrane damage in the fuel cell. As the equilibrium point at steady state becomes unique, hence Jacobian linearization of the original system has been done and the state space matrices of the linearized system were found using MATLAB Symbolic Tool Box. The linearized system is asymptotically stable as well as controllable and observable. During the optimal control design, hydrogen and oxygen partial flow rates are defined as the control variables and the hydrogen and oxygen pressure are appropriately defined as the control objectives. The simulation result shows that the linearized PEMFC model with conventional PID controller where the controller parameters are tuned using Genetic Algorithm with ISE and ISTE control strategies were having less tracking error. Â© 2015 IEEE.
PID control design for the pressure regulation of PEM fuel cell
(2015) Swain, P.; Jena, D.
The well-known nonlinear fifth-order model of a proton exchange membrane (PEM, also known as polymer electrolyte membrane) fuel cell (PEMFC) seems to be quite complex. In this paper, we derived the linearized model of the original nonlinear system in non-coordinate standard form considering proper initial conditions and equilibrium point. Large deviations in pressure can cause severe membrane damage in the fuel cell. Conventional Proportional-Integralderivative (PID) controllers are used to regulate the pressure change of hydrogen and oxygen at the desired value despite of changes in the fuel cell current. As the equilibrium point at steady state becomes unique, Jacobian linearization of the original system has been done and the state space matrices of the linearized system were found using MATLAB Symbolic ToolBox. The linearized system is asymptotically stable as well as controllable and observable. During the control design, hydrogen and oxygen partial flow rates are defined as the control variables and the hydrogen and oxygen pressure difference are taken as the control objectives. The simulation result shows that the linearized PEMFC model with conventional PID controller where the controller parameters are tuned using Zeigler-Nichols (Z-N) having acceptable control performance. � 2015 IEEE.
PID control design for the pressure regulation of PEM fuel cell
(Institute of Electrical and Electronics Engineers Inc., 2015) Swain, P.; Jena, D.
The well-known nonlinear fifth-order model of a proton exchange membrane (PEM, also known as polymer electrolyte membrane) fuel cell (PEMFC) seems to be quite complex. In this paper, we derived the linearized model of the original nonlinear system in non-coordinate standard form considering proper initial conditions and equilibrium point. Large deviations in pressure can cause severe membrane damage in the fuel cell. Conventional Proportional-Integralderivative (PID) controllers are used to regulate the pressure change of hydrogen and oxygen at the desired value despite of changes in the fuel cell current. As the equilibrium point at steady state becomes unique, Jacobian linearization of the original system has been done and the state space matrices of the linearized system were found using MATLAB Symbolic ToolBox. The linearized system is asymptotically stable as well as controllable and observable. During the control design, hydrogen and oxygen partial flow rates are defined as the control variables and the hydrogen and oxygen pressure difference are taken as the control objectives. The simulation result shows that the linearized PEMFC model with conventional PID controller where the controller parameters are tuned using Zeigler-Nichols (Z-N) having acceptable control performance. Â© 2015 IEEE.