Hernández-Gómez, Angel M. | Centro De Investigación Científica De Yucatán |
Ramirez Rivera, Victor Manuel | Centro De Investigación Científica De Yucatán |
Resumen: Abstract: Behaviour of PEM electrolyser is frequently represented by some time dependent functions and other physical variables including temperature. The eect of temperature and current in this relationship is essential to regulate the potential and hydrogen output of electrolyser. Hence they are responsible to bring the dynamic to the non-linear system. The current can be considered constant, because it is supplied by a source however, in this work we could express the current like a temperature function. On the other hand, the temperature is taken as a independet variable. Thereby, the problem turns to know the temperature value. Immersion and Invariance (gradient estimator) technique, recently introduced in the literature is proposed to solve this problem. Thus the unknown temperature value will be found designing a (gradient) pressure estimator.
¿Cómo citar?
Angel Hernández-Gómez & Victor Ramirez. Estimation of Temperature Gradient Method for a Particular PEM Electrolyser System. Memorias del Congreso Nacional de Control Automático, pp. 267-272, 2019.
Palabras clave
Control de Sistemas No Lineales, Control basado en pasividad, Tecnología para control
Referencias
- A. Rahim, Alhassan Salami Tijani, S.K. Kamarudin and S. Hanapi. An overview of polymer electrolyte membrane electrolyzer for hydrogen production: Modeling and mass transport. Journal of Power Sources, 309:56–65, 2016.
- Costas Kravaris, Juergen Hahn and Yunter Chu. Advances and selected recent developments in state and parameter estimation in computers & electrochemical. Engineering, 51:111–123, 2013.
- Karim Belmokhtar, M. L. Doumbia, K. Adbossou. Dynamic Model of an Alkaline Electrolyzer Based an Artificial Neural Networks Eighth International Conference and Exhibition on Ecological Vehicles and Renewable Energies (EVER), 1–4, 2013.
- Krishna Pada Das, Samrat Chatterjee, J. Chattopadhyay. Disease in prey population and body size of intermediate predator reduce the prevalence of chaos-conclusion drawn from HastingsPower model. Ecological Complexity, 6:363–74, 2009.
- Elsgolts. Ecuaciones diferenciales y Cálculo variacional. MIR, Moscu, 1969.
- Choi, D.G.Bessarabovb, R. Dattaa. A simple model for solid polymer electrolyte (SPE) water electrolysis. Solid State Ionics, 9:175–535, 2004.
- García-Valverde, N. Espinosa. A. Urbina. Simple PEM water electrolyser model and experimental validation. International Journal of Hydrogen Energy 2012, 37: 1927–1938, 2012.
- Richard Burden, J. Duglas Faires. Análisis Numérico. ´ International Thomson Editores, ISBN: 9706861343, 2002.
- Romeo Ortega, Fernando Mancilla-David and Fernando Jaramillo. A globally convergent wind speed estimator for wind turbine systems. International Journal of Adaptative control and Signal Processing, 2012.
- Sebastian Ania, Viorel Arnautu, Vincenzo Capasso. An Introduction to Optimal Control Problems in Life Sciences and Economics. Springer Science & Business Media, ISBN: 0817680985, 2011.
- Vesa Ruuskanen, J. Koponen, T. Sillanpaa, K. Huoman, A. Kosonen, M. Niemela, J. Ahola. PEM water electrolyzer model for a power-hardware-in-loop simulator. international journal of hydrogen energy, 1–10, 2017.
- Xiangbin Liu, Romeo Ortega, Hongye Su and Jian Chu. On adaptive control of non-linearly parametrized nonlinear systems. Systems and Control Letters, 36–43, 2010.