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Dynamic Modeling and Validation of PEM Fuel Cell via System Identification Approach
Pinagapani Arun Kumar,Mani Geetha,Chandran K. R.,Pandian Karthik,Sawantmorye Eshwar,Vaghela Purvil 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.4
The key issues with non-renewable energy resources are the harmful pollutants they produce. They also pose serious threat to human life and lead to severe atmospheric devastation. Hence, they become non-viable for future generations. With the innovation of fuel cell technology, these diffi culties are wiped out. Fuel Cell technology is considered as the most effi cient and environmental friendly type of energy production. Among the diff erent types of fuel cells, Proton-Exchange Membrane Fuel Cell (PEMFC) is the most distributed type and are widespread in the market, because of its lower operating temperature, reliable performance to frequent load changes, higher effi ciency and good power density. This work primarily focuses on the dynamic modeling and simulation of PEMFC. A voltage model for PEMFC is developed based on experimental data. Estimation of the system model is done by using system identifi cation toolbox in MATLAB. Validation of the estimated model is performed by comparing the estimated model response with fi rst principle nonlinear PEMFC model and with a diff erent real time data.
Geetha Mani,Arun Kumar Pinagapani 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.5
The paper focuses on the control of air feed system on the PEM fuel cell subject to load changes. For this purpose, a robust regulatory controller (termed as Robustness Tracking Disturbance Overall Aggressiveness (RTDA) controller) is developed to control oxygen excess ratio and compared with widely accepted schemes namely Proportional Integral Derivative (PID), Model Predictive Control (MPC). In all the control schemes, the control objectives aim to maintain the desire oxygen excess ratio while keeping the compressor voltage at its nominal working point under input and output operational constraints. The two different scenarios: (1) Robustness Output tracking and (2) Disturbance rejection for each configuration are compared using computational time and performance indicators like Integral Square Error (IS E). The novel contribution of this work is the comparison of the performance of the schemes with respect to computational time. Simulation results allow evaluating effectiveness of the RTDA controller and the performance of each configuration applied to Polymer Electrolyte Membrane (PEM) Fuel cell air feed system.