Sliding-Mode Control of PEM Fuel Cells

Sliding-Mode Control of PEM Fuel Cells PDF Author: Cristian Kunusch
Publisher: Springer Science & Business Media
ISBN: 1447124316
Category : Technology & Engineering
Languages : en
Pages : 188

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Book Description
Sliding-mode Control of PEM Fuel Cells demonstrates the application of higher-order sliding-mode control to PEMFC dynamics showing the advantages of sliding modes. The book introduces the theory of fuel cells and sliding-mode control. It contextualises PEMFCs both in terms of their development and within the hydrogen economy and today’s energy production situation as a whole. It then discusses fuel-cell operation principles, the mathematical background of high-order sliding-mode control and to a feasibility study for the use of sliding modes in the control of an automotive fuel stack. Part II presents experimental results of sliding-mode-control application to laboratory fuel cells and deals with subsystem-based modelling, detailed design, and observability and controllability. Simulation results are contrasted with empirical data and performance, robustness and implementation issues are treated in depth. Possibilities for future research are also laid out.

Sliding-Mode Control of PEM Fuel Cells

Sliding-Mode Control of PEM Fuel Cells PDF Author: Cristian Kunusch
Publisher: Springer Science & Business Media
ISBN: 1447124308
Category : Technology & Engineering
Languages : en
Pages : 188

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Book Description
Sliding-mode Control of PEM Fuel Cells demonstrates the application of higher-order sliding-mode control to PEMFC dynamics showing the advantages of sliding modes. The book introduces the theory of fuel cells and sliding-mode control. It contextualises PEMFCs both in terms of their development and within the hydrogen economy and today’s energy production situation as a whole. It then discusses fuel-cell operation principles, the mathematical background of high-order sliding-mode control and to a feasibility study for the use of sliding modes in the control of an automotive fuel stack. Part II presents experimental results of sliding-mode-control application to laboratory fuel cells and deals with subsystem-based modelling, detailed design, and observability and controllability. Simulation results are contrasted with empirical data and performance, robustness and implementation issues are treated in depth. Possibilities for future research are also laid out.

Sliding Mode Control Methodology in the Applications of Industrial Power Systems

Sliding Mode Control Methodology in the Applications of Industrial Power Systems PDF Author: Jianxing Liu
Publisher: Springer Nature
ISBN: 3030306550
Category : Technology & Engineering
Languages : en
Pages : 224

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Book Description
This book presents recent advanced techniques in sliding mode control and observer design for industrial power systems, focusing on their applications in polymer electrolyte membrane fuel cells and power converters. Readers will find not only valuable new fault detection and isolation techniques based on sliding mode control and observers, but also a number of robust control and estimation methodologies combined with fuzzy neural networks and extended state observer methods. The book also provides necessary experimental and simulation examples for proton exchange membrane fuel cell systems and power converter systems. Given its scope, it offers a valuable resource for undergraduate and graduate students, academics, scientists and engineers who are working in the field.

Advances and Applications in Sliding Mode Control systems

Advances and Applications in Sliding Mode Control systems PDF Author: Ahmad Taher Azar
Publisher: Springer
ISBN: 3319111736
Category : Technology & Engineering
Languages : en
Pages : 592

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Book Description
This book describes the advances and applications in Sliding mode control (SMC) which is widely used as a powerful method to tackle uncertain nonlinear systems. The book is organized into 21 chapters which have been organised by the editors to reflect the various themes of sliding mode control. The book provides the reader with a broad range of material from first principles up to the current state of the art in the area of SMC and observation presented in a clear, matter-of-fact style. As such it is appropriate for graduate students with a basic knowledge of classical control theory and some knowledge of state-space methods and nonlinear systems. The resulting design procedures are emphasized using Matlab/Simulink software.

Intelligent Control in Energy Systems

Intelligent Control in Energy Systems PDF Author: Anastasios Dounis
Publisher: MDPI
ISBN: 3039214152
Category : Science
Languages : en
Pages : 508

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Book Description
The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust μ-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Hydrogen-Air PEM Fuel Cell

Hydrogen-Air PEM Fuel Cell PDF Author: Shiwen Tong
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110602156
Category : Technology & Engineering
Languages : en
Pages : 226

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Book Description
The book presents the modeling and control of hydrogen-air PEM fuel cells, including simultaneous estimation of the parameters and states, fuzzy cluster modeling, SPM-based predictive control and advanced fuzzy control. MATLAB/Simulink-based modeling and control programs are discussed in detail. With simulations and experiments, it is an essential reference for both scientists and industrial engineers.

Proceedings of China SAE Congress 2021: Selected Papers

Proceedings of China SAE Congress 2021: Selected Papers PDF Author: China Society of Automotive Engineers
Publisher: Springer Nature
ISBN: 9811938423
Category : Technology & Engineering
Languages : en
Pages : 1373

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Book Description
These proceedings gather outstanding papers presented at the China SAE Congress 2021, held on Oct. 19-21, Shanghai, China. Featuring contributions mainly from China, the biggest carmaker as well as most dynamic car market in the world, the book covers a wide range of automotive-related topics and the latest technical advances in the industry. Many of the approaches in the book will help technicians to solve practical problems that affect their daily work. In addition, the book offers valuable technical support to engineers, researchers and postgraduate students in the field of automotive engineering.

Nonlinear Predictive Control Using Wiener Models

Nonlinear Predictive Control Using Wiener Models PDF Author: Maciej Ławryńczuk
Publisher: Springer Nature
ISBN: 3030838153
Category : Technology & Engineering
Languages : en
Pages : 358

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Book Description
This book presents computationally efficient MPC solutions. The classical model predictive control (MPC) approach to control dynamical systems described by the Wiener model uses an inverse static block to cancel the influence of process nonlinearity. Unfortunately, the model's structure is limited, and it gives poor control quality in the case of an imperfect model and disturbances. An alternative is to use the computationally demanding MPC scheme with on-line nonlinear optimisation repeated at each sampling instant. A linear approximation of the Wiener model or the predicted trajectory is found on-line. As a result, quadratic optimisation tasks are obtained. Furthermore, parameterisation using Laguerre functions is possible to reduce the number of decision variables. Simulation results for ten benchmark processes show that the discussed MPC algorithms lead to excellent control quality. For a neutralisation reactor and a fuel cell, essential advantages of neural Wiener models are demonstrated.

Applications of Computational Intelligence

Applications of Computational Intelligence PDF Author: Alvaro David Orjuela-Cañón
Publisher: Springer Nature
ISBN: 3031297830
Category : Computers
Languages : en
Pages : 139

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Book Description
​This book constitutes the refereed proceedings of the 5th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022, held in Cali, Colombia during July 27–29, 2022. The 7 extended papers included in this book were carefully reviewed and selected from 38 submissions. They were organized in topical sections as follows: ​Design of a segmentation and classification system for seed detection based on pixel intensity thresholds and convolutional neural networks.

Optimization of the Fuel Cell Renewable Hybrid Power Systems

Optimization of the Fuel Cell Renewable Hybrid Power Systems PDF Author: Nicu Bizon
Publisher: Springer Nature
ISBN: 303040241X
Category : Technology & Engineering
Languages : en
Pages : 350

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Book Description
This book offers a comprehensive review of renewable energy sources and optimization strategies in hybrid power systems (HPSs). It analyses the main issues and challenges in the renewable (REW) HPS field, particularly those using fuel cell (FC) systems as their main source of energy. It then offers innovative solutions to these issues, comparing them to solutions currently found in the literature. The book discusses optimization algorithms and energy management strategies. The focus is chiefly on FC net power maximization and fuel economy strategies based on global optimization. The last two chapters discuss energy harvesting from photovoltaic systems and how to mitigate energy variability in REW FC HPS. The main content is supplemented by numerous examples and simulations. Academics, students and practitioners in relevant industrial branches interested in REW HPS finds it of considerable interest, as a reference book or for building their own HPSs based on the examples provided.