Romeo Ortega - PID Passivity-Based Control of Nonlinear Systems with Applications

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PID Passivity-Based Control of Nonlinear Systems with Applications: краткое содержание, описание и аннотация

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Explore the foundational and advanced subjects associated with proportional-integral-derivative controllers from leading authors in the field  In 
, expert researchers and authors Drs. Romeo Ortega, Jose Guadalupe Romero, Pablo Borja, and Alejandro Donaire deliver a comprehensive and detailed discussion of the most crucial and relevant concepts in the analysis and design of proportional-integral-derivative controllers using passivity techniques. The accomplished authors present a formal treatment of the recent research in the area and offer readers practical applications of the developed methods to physical systems, including electrical, mechanical, electromechanical, power electronics, and process control. 
The book offers the material with minimal mathematical background, making it relevant to a wide audience. Familiarity with the theoretical tools reported in the control systems literature is not necessary to understand the concepts contained within. You’ll learn about a wide range of concepts, including disturbance rejection via PID control, PID control of mechanical systems, and Lyapunov stability of PID controllers. 
Readers will also benefit from the inclusion of: 
A thorough introduction to a class of physical systems described in the port-Hamiltonian form and a presentation of the systematic procedures to design PID-PBC for them An exploration of the applications to electrical, electromechanical, and process control systems of Lyapunov stability of PID controllers Practical discussions of the regulation and tracking of bilinear systems via PID control and their application to power electronics and thermal process control A concise treatment of the characterization of passive outputs, incremental models, and Port Hamiltonian and Euler-Lagrange systems Perfect for senior undergraduate and graduate students studying control systems, 
 will also earn a place in the libraries of engineers who practice in this area and seek a one-stop and fully updated reference on the subject.

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17 R. Talj, D. Hissel, R. Ortega, M. Becherif, and M. Hilairet. Experimental validation of a PEM fuel cell reduced order model and a moto‐compressor higher order sliding mode control. IEEE Transactions on Industrial Electronics, 57(6): 1906–1913, 2010.

18 A. J. van der Schaft. ‐Gain and Passivity Techniques in Nonlinear Control. Springer‐Verlag, Berlin, 3rd edition, 2016.

Acknowledgments

This book is the result of extensive research collaborations during the last 10 years. Some of the results of these collaborations have been reported in the papers (Bergna‐Díaz et al., 2019; Borja et al., 2016, 2020; Castaños et al., 2009; Chang et al., 2000; Cisneros et al., 2013, 2015, 2016, 2020; Donaire and Junco, 2009; Donaire et al., 2016a, 2017; Escobar et al., 1999; Ferguson et al., 2017a; Ferguson et al., 2017b, 2018, 2020; Gandhi et al., 2016; Hernández‐Gómez et al., 2012; Jaafar et al., 2013; Jayawardhana et al., 2007; Jung et al., 2015; Monshizadeh et al., 2019; Ortega et al., 2020; Pérez et al., 2004; Talj et al., 2009, 2010, 2011; Wu et al., 2020; Zhang et al., 2015, 2018; Zonetti and Ortega, 2015; Zonetti et al., 2015). We are grateful to our co‐authors, S. Aranovskiy, A. Astolfi, A. Allawieh, D. Bazylev, M. Becherif, A. Benchaib, G. Bergna‐Díaz, A. Bobtsov, F. Castaños, G. Chang, R. Cisneros, M. Crespo, G. Duan, D. Efimov, G. Escobar, G. Espinosa‐Pérez, J. Espinoza, J. Ferguson, P. Gandhi, R. Gao, E. García‐Canseco, E. Godoy, M. Hernández‐Gómez, M. Hilairet, D. Hissel, I. Husain, A. Jaafar, B. Jayawardhana, D. Jeltsema, S. Junco, F. Kazi, F. Lamnabhi‐Lagarrigue, Z. Liu, F. Mancilla‐David, R. Mehra, E. Mendes, R. H. Middleton, N. Monshizadeh, P. Monshizadeh, M. Pérez, M. Pirro, A. Pyrkin, S. Sánchez, S. Satpute, J. Scherpen, B. Siciliano, M. Singh, H. Su, R. Talj, E. Tedeschi, A. van der Schaft, D. Wu, M. Zhang, D. Zonetti, for several stimulating discussions and for their hospitality while visiting their institutions.

Some of the topics of this book have been taught by the first author at the EECI Graduate School on Control in Istanbul, Turkey, in 2016, in the Winter Course of the Mexican Association of Automatic Control in 2016, in the Summer School of the Institute of Control Problems of the Academy of Sciences in Moscow, Russia, in 2017 and in the University of Chile, Santiago, Chile, in 2018. A workshop on this topic was organized in Zhejiang University, Hangzhou, China, in 2017.

A large part of this work would not have been possible without the financial support of several institutions. The first author would like to thank ITMO University in Saint Petersburg, Russia, for having sponsored part of this work and the Instituto Tecnológico Autónomo de México (ITAM) for opening its doors for the continuation of his scientific career in Mexico. The second author wishes to thank the Ecole Doctorale‐Sciences et Technologies de l'Information des Télécommunications et des Systèmes (ED‐STITS) for having funded his doctoral studies and the ITAM for supporting his research activities. The third author wants to thank the National Council of Science and Technology (CONACyT), the Mexican Secretary of Public Education (SEP), and the University of Groningen for all the support received during his academic career. The fourth author wants to thank the University of Newcastle for supporting his research and academic activities.

Mexico/Groningen/Newcastle

Romeo Ortega

José Guadalupe Romero

Pablo Borja

Alejandro Donaire

Acronyms

ACalternate currentAMMassumed modes methodCbIcontrol by interconnectionCLcontrolled LagrangiansDACdigital‐to‐analog converterDCdirect currentDOFdegree(s)‐of‐freedomELEuler–LagrangeFOCfield‐oriented controlGASglobally asymptotically stableGESglobal exponential stabilityHVDChigh‐voltage direct currentIAintegral actionIDAinterconnection and damping assignmentIISSintegral input‐to‐state stabilityISSinput‐to‐state stabilityLMIlinear matrix inequalityLTIlinear time‐invariantMDICSmatched disturbance integral controlled systemPBCpassivity‐based controlPDEpartial differential equationPEMproton exchange membranepHport‐HamiltonianPDproportional‐derivativePIproportional‐integralPIDproportional‐integral‐derivativePMSGpermanent magnet synchronous generatorPMSMpermanent magnet synchronous motorPWMpulse‐width modulationSPRstrictly positive realVSRvoltage source rectifiersVTOLvertical take‐off and landing

Notation

Given a vector PID PassivityBased Control of Nonlinear Systems with Applications - изображение 36, the symbol PID PassivityBased Control of Nonlinear Systems with Applications - изображение 37denotes its Euclidean norm, i.e. PID PassivityBased Control of Nonlinear Systems with Applications - изображение 38. We denote the картинка 39th element of картинка 40as картинка 41. The картинка 42th element of the canonical basis of PID PassivityBased Control of Nonlinear Systems with Applications - изображение 43is represented by PID PassivityBased Control of Nonlinear Systems with Applications - изображение 44. To ease the readability, column vectors are also expressed as PID PassivityBased Control of Nonlinear Systems with Applications - изображение 45.

Consider the matrix картинка 46, then картинка 47denotes the картинка 48th column of картинка 49, картинка 50the картинка 51th row of картинка 52, and картинка 53the картинка 54th element of картинка 55. Moreover, картинка 56denotes the transpose of Given a square matrix To simplify the notation we express diagonal matr - фото 57. Given a square matrix PID PassivityBased Control of Nonlinear Systems with Applications - изображение 58, PID PassivityBased Control of Nonlinear Systems with Applications - изображение 59. To simplify the notation, we express diagonal matrices as PID PassivityBased Control of Nonlinear Systems with Applications - изображение 60, where картинка 61are the diagonal elements of the matrix.

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