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Multi-Stage and Multi-Time Scale Feedback Control of Linear Systems with Applications to Fuel Cells de Verica Radisavljević-Gajić

Multi-Stage and Multi-Time Scale Feedback Control of Linear Systems with Applications to Fuel Cells: Mechanical Engineering Series

Autor Verica Radisavljević-Gajić, Miloš Milanović, Patrick Rose
en Limba Engleză Hardback – 21 feb 2019
This book provides a comprehensive study of multi-stage and multi-time scale design of feedback controllers for linear dynamic systems. It examines different types of controllers as can be designed for different parts of the system (subsystems) using corresponding feedback gains obtained by performing calculations (design) only with subsystem (reduced-order) matrices.The advantages of the multi-stage/multi-time scale design are presented and conditions for implementation of these controllers are established. Complete derivations and corresponding design techniques are presented for two-stage/two-time-scale, three-stage/three-time scale, and four-stage/four-time-scale systems. The techniques developed have potential applications to a large number of real physical systems. The design techniques are demonstrated on examples of mathematical models of fuel cells, especially the proton exchange membrane fuel cell.


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Specificații

ISBN-13: 9783030103880
ISBN-10: 3030103889
Pagini: 250
Ilustrații: XI, 214 p. 23 illus., 16 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.5 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Mechanical Engineering Series

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Continuous-Time Two-Stage Feedback Controller Design.- Discrete-Time Two-Stage Feedback Controller Design.- Three-Stage Continuous-Time Feedback Controller Design.- Three-Stage Discrete-Time Feedback Controller Design.- Four-Stage Continuous-Time Feedback Controller Design.- Modelling and System Analysis of PEM Fuel Cells.- Control of a Hydrogen Gas Processing System.- Extensions to Multi-Stages and Multi-Time Scale.- References.- Index.

Recenzii

“In this book, the authors demonstrate that the use of reduced-order matrices for designing controllers for subsystems in feedback control systems offers a compelling approach to manage complexity, reduce computational demands, enhance accuracy, and ensure robustness, reliability, and security in cyber-physical systems. This methodology empowers engineers and researchers to tackle the challenges of modern, interconnected systems effectively, contributing to safer and more efficient technological advancements.” (Kaïs Ammari, zbMATH 1522.93007, 2023)

Notă biografică

Dr. Verica Radisavljevic-Gajic is an Assistant Professor in the Department of Mechanical Engineering at Villanova University. Mr. Milos Milanovic is a graduate student in the Department of Mechanical Engineering at Villanova University. Mr. Patrick Rose is a graduate student in the Department of Mechanical Engineering at Villanova University. Dr. Garrett Clayton is an Associate Professor in the Department of Mechanical Engineering at Villanova University.

Textul de pe ultima copertă

This book provides a comprehensive study of multi-stage and multi-time scale design of feedback controllers for linear dynamic systems. It examines different types of controllers as can be designed for different parts of the system (subsystems) using corresponding feedback gains obtained by performing calculations (design) only with subsystem (reduced-order) matrices.The advantages of the multi-stage/multi-time scale design are presented and conditions for implementation of these controllers are established. Complete derivations and corresponding design techniques are presented for two-stage/two-time-scale, three-stage/three-time scale, and four-stage/four-time-scale systems. The techniques developed have potential applications to a large number of real physical systems. The design techniques are demonstrated on examples of mathematical models of fuel cells, especially the proton exchange membrane fuel cell.
  • Explains how different types of controllers can be designed for different parts of the system (subsystems) using feedback gains obtained by calculations (design) with only subsystem (reduced‐order) matrices;
  • Illustrates a reduction of computational requirements because all numerical operations are done with matrices of the reduced‐order corresponding to the subsystems;
  • Details how very accurate computations are performed with well‐conditioned lower‐order matrices;
  • Discusses steps to facilitate robustness and reliability as well as improved feedback control loop security, important for cyber physical systems.

Caracteristici

Explains how different types of controllers can be designed for different parts of the system (subsystems) using feedback gains obtained by calculations (design) with only subsystem (reduced-order) matrices; Illustrates a reduction of computational requirements because all numerical operations are done with matrices of the reduced-order corresponding to the subsystems; Details how very accurate computations are performed with well-conditioned lower-order matrices; Discusses steps to facilitate robustness and reliability as well as improved feedback control loop security, important for cyber physical systems