Proceedings ArticleDOI
Fuel cell voltage control using neural network based on model predictive control
Masoud Salehi Borujeni,Hassan Zarabadipour +1 more
- pp 1-5
TLDR
In this article, a neural network based model predictive control (NNMPC) algorithm was implemented to control the voltage of a proton exchange membrane fuel cell (PEMFC).Abstract:
In this paper, a neural network based model predictive control (NNMPC) algorithm was implemented to control the voltage of a proton exchange membrane fuel cell (PEMFC). In this approach, a neural network model is trained to predict the future process response over the specified horizon. The predictions are passed to a numerical optimization routine which attempts to minimize a specified cost function to calculate a suitable control signal at each sample instant. The performance results of the NNMPC were compared with a fuzzy controller.read more
Citations
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Journal ArticleDOI
A critical survey of proton exchange membrane fuel cell system control: Summaries, advances, and perspectives
TL;DR: In this article , a comprehensive and systematic overview of state-of-the-art PEMFC control strategies is carried out, based on a thorough investigation of 180 literatures, these control strategies are classified into nine main categories, including proportional integral derivative (PID) control, adaptive control, fuzzy logic control (FLC), robust control, observer-based control, model predictive control (MPC), fault tolerant control (FTC), optimal control and artificial intelligence control.
Journal ArticleDOI
Efficient Voltage Control in Proton Exchange Membrane Fuel Cell: An Approach based on Intelligent Algorithms
TL;DR: In this article, the fuel cells, as the recently emerged power sources, offer a number of unique benefits such as higher efficiency, lower environmental impacts, and suitable scalability, and these merits are achieved by using them in power stations.
Journal ArticleDOI
Performance analysis of artificial intelligent controllers in PEM fuel cell voltage tracking
R. Vinu,Varghese Paul +1 more
TL;DR: The state space model of Proton Exchange Membrane Fuel cell is considered for analyzing various controllers and the transient response of the fuel cell is analyzed and compared for the different controllers.
References
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Journal ArticleDOI
Neural network based model predictive control for a steel pickling process
TL;DR: In this paper, a multi-layer feed-forward neural network model based predictive control scheme is developed for a multivariable nonlinear steel pickling process in acid baths, where three variables under controlled are the hydrochloric acid concentrations.
Journal ArticleDOI
Control of polystyrene batch reactors using neural network based model predictive control (NNMPC): An experimental investigation
TL;DR: In this article, a neural network-model predictive control (NN-MPC) algorithm was implemented to control the temperature of a polystyrene (PS) batch reactors and the controller set-point tracking and load rejection performance was investigated.
Journal ArticleDOI
An electrical modeling and fuzzy logic control of a fuel cell generation system
Yoon-Ho Kim,Sangsun Kim +1 more
TL;DR: In this paper, simplified electrical models of a fuel cell generation system for system control are proposed, and using the electrical models, system performance of a FCL generation system in which power is boosted by step-up choppers is analyzed.
Journal ArticleDOI
Nonlinear control of PEM fuel cells by exact linearization
Woonki Na,Bei Gou,Bill Diong +2 more
TL;DR: In this article, a nonlinear control strategy for polymer electrolyte membrane fuel cells (PEM FC) was constructed by using the exact linearization approach, where the original MISO nonlinear model of PEM FC was transformed into a multiple-input multiple-output (MIMO) system.
Proceedings ArticleDOI
An Analytical, Control-Oriented State Space Model for a PEM Fuel Cell System
F. Grasser,Alfred Rufer +1 more
TL;DR: In this paper, the authors propose a model for a PEMFC fuel cell system running on gaseous hydrogen and a non-pressurised air supply. But the model is composed of a steady-state fuel cell stack model that links the operating conditions (e.g., air flow rate, hydrogen pressure, electrical current, etc.) to the fuel cell's electrical voltage.