Optimal Fractional-order Predictive PI Controllers
Lingua: inglese
Editore: Springer, Springer Nov 2022, 2022
- Rilegato
- Nuovo
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Venditore AbeBooks dal 23 gennaio 2017
Condizione: Nuovo
EUR 139,09
Quantità: 1 disponibili
Aggiungi al carrelloDescrizione dell’articolo da parte del venditore
This item is printed on demand - Print on Demand Titel. Neuware -This book presents the study to design, develop, and implement improved PI control techniques using dead-time compensation, structure enhancements, learning functions and fractional ordering parameters. Two fractional-order PI controllers are proposed and designed: fractional-order predictive PI and hybrid iterative learning based fractional-order predictive PI controller. Furthermore, the proposed fractional-order control strategies and filters are simulated over first- and second-order benchmark process models and further validated using the real-time experimentation of the pilot pressure process plant.In this book, five chapters are structured with a proper sequential flow of details to provide a better understanding for the readers. A general introduction to the controllers, filters and optimization techniques is presented in Chapter 1. Reviews of the PI controllers family and their modifications are shown in the initial part of Chapter 2, followed by the development of the proposed fractional-order predictive PI (FOPPI) controller with dead-time compensation ability. In the first part of chapter 3, a review of the PI based iterative learning controllers, modified structures of the ILC and their modifications are presented. Then, the design of the proposed hybrid iterative learning controller-based fractional-order predictive PI controller based on the current cyclic feedback structure is presented. Lastly, the results and discussion of the proposed controller on benchmark process models and the real-time experimentation of the pilot pressure process plant are given. Chapter 4 presents the development of the proposed filtering techniques and their performance comparison with the conventional methods. Chapter 5 proposes the improvement of the existing sine cosine algorithm (SCA) and arithmetic optimization algorithm (AOA) to form a novel arithmetic-trigonometric optimization algorithm (ATOA) to accelerate the rate of convergence in lesser iterations with mitigation towards getting caught in the same local position. The performance analysis of the optimization algorithm will be carried out on benchmark test functions and the real-time pressure process plant.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch.…
Codice articolo 9789811965166
- Titolo
- Optimal Fractional-order Predictive PI Controllers
- Autore
- Arun Mozhi Devan Panneer Selvam
- Editore
- Springer, Springer Nov 2022
- Anno di pubblicazione
- 2022
- Condizione
- Neu
- Rilegatura
- Buch
- Lingua
- inglese
- ISBN 10
- 9811965161
- ISBN 13
- 9789811965166
- Peso dell'articolo
- 448 grammi
- Dimensioni
- 241x160x15 mm
This book presents the study to design, develop, and implement improved PI control techniques using dead-time compensation, structure enhancements, learning functions and fractional ordering parameters. Two fractional-order PI controllers are proposed and designed: fractional-order predictive PI and hybrid iterative learning based fractional-order predictive PI controller. Furthermore, the proposed fractional-order control strategies and filters are simulated over first- and second-order benchmark process models and further validated using the real-time experimentation of the pilot pressure process plant.
In this book, five chapters are structured with a proper sequential flow of details to provide a better understanding for the readers. A general introduction to the controllers, filters and optimization techniques is presented in Chapter 1. Reviews of the PI controllers family and their modifications are shown in the initial part of Chapter 2, followed by the development of the proposed fractional-order predictive PI (FOPPI) controller with dead-time compensation ability. In the first part of chapter 3, a review of the PI based iterative learning controllers, modified structures of the ILC and their modifications are presented. Then, the design of the proposed hybrid iterative learning controller-based fractional-order predictive PI controller based on the current cyclic feedback structure is presented. Lastly, the results and discussion of the proposed controller on benchmark process models and the real-time experimentation of the pilot pressure process plant are given. Chapter 4 presents the development of the proposed filtering techniques and their performance comparison with the conventional methods. Chapter 5 proposes the improvement of the existing sine cosine algorithm (SCA) and arithmetic optimization algorithm (AOA) to form a novel arithmetic-trigonometric optimization algorithm (ATOA) to accelerate the rate of convergence in lesser iterations with mitigation towards getting caught in the same local position. The performance analysis of the optimization algorithm will be carried out on benchmark test functions and the real-time pressure process plant.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Informazioni sull’autore
P. ARUN MOZHI DEVAN received the B.Eng. degree (Hons.) in electronics and instrumentation engineering from the Muthayammal Engineering College, Rasipuram, Tamil Nadu, India, in 2012, and the M.Eng. degree (Hons.) in Control and Instrumentation Engineering from Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India, in 2016. He is currently pursuing the Ph.D. degree with the Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Perak, Malaysia. He was with Sri Ramakrishna Engineering College as an Assistant Professor (O.G) in the Department of Electronics and Instrumentation Engineering from 2016 to 2018. His current research interests include Fractional-order Control, wireless networked control systems, process control and optimization.
FAWNIZU AZMADI HUSSIN received the bachelor’s degree in Electrical engineering from the University of Minnesota, Twin Cities, Minneapolis, MN, USA, in 1999, the M.Eng. Sc. degree in Systems and Control from the University of New South Wales, Sydney, NSW, Australia, in 2001, and the Ph.D. degree in core based testing of system-on-a-chip (SoCs) from the Nara Institute of Science and Technology, Ikoma, Japan, in 2008, under the scholarship from the Japanese Government (Monbukagakusho). He is currently an Associate Professor in Electrical and Electronics Engineering at Universiti Teknologi PETRONAS, He was the Program Manager of Master by coursework program (2009-2013), the Deputy Head of Electrical & Electronic Engineering department (2013-2014) and the Director of Strategic Alliance Office (2014-2018) at UTP. He spent one year as a Visiting Professor at Intel Microelectronics (Malaysia)’s SOC DFx department in 2012-13. He is actively involved with the IEEE Malaysia Section as volunteers since 2009. He was the 2013 & 2014 Chair of the IEEE Circuits and Systems Society Malaysia Chapter and currently serving as the Chair of IEEE Malaysia Section (2019 & 2020)
ROSDIAZLI IBRAHIM received the B.Eng. degree (Hons.) in Electrical Engineering from Universiti Putra Malaysia, Kembangan, Malaysia, in 1996, the M.Sc. degree (Hons.) in Automation and Control from Newcastle University, Newcastle upon Tyne, U.K., in 2000, and the Ph.D. degree in Electrical and Electronic Engineering from the University of Glasgow, U.K., in 2008. He is currently an Associate Professor with the Department of Electrical and Electronics Engineering, Universiti Teknologi Petronas (UTP), Seri Iskandar, Perak, Malaysia. He is currently the Dean with the Centre of Graduate Studies at UTP. His current research interests include intelligent control and non-linear multi-variable process modelling for control application. He is a Registered Engineer with the Board of Engineering Malaysia.
KISHORE BINGI received the B.Tech. degree in Electrical and Electronics Engineering from Bapatla Engineering College, Andhra Pradesh, India, in 2012, the M.Tech. degree in Instrumentation and Control Systems from National Institute of Technology (NIT) Calicut, Kerala, India, in 2014, and the Ph.D. degree in the Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS (UTP), Perak, Malaysia in 2019. He worked as a Research Scientist and Post-doctoral researcher in the Institute of Autonomous Systems, Universiti Teknologi PETRONAS, Perak, Malaysia from 2019 to 2020. He also worked with TATA Consultancy Service (TCS) as an Assistant Systems Engineer from 2014 to 2015. He is currently an Assistant Professor (Senior Grade) in the Department of Control & Automation, School of Electrical Engineering (SELECT), Vellore Institute of Technology, Vellore, India. His current research interests include Non-linear Process Modeling, Fractional-order Control and Optimization.
M. NAGARAJAPANDIAN received his B.Eng. degree (Hons.) in Electronics and Instrumentation Engineering from Arunai Engineering College, Tiruvannamalai in 2010, and M.Eng. degree (Hons.) degree in Applied Electronics from Shri Andal Alagar College of Engineering, in 2012. He is currently an Assistant Professor in the Department of Electronics and Instrumentation Engineering, Sri Ramakrishna Engineering College, Coimbatore. He has ten years of experience as an Assistant Professor. Also, he is currently pursuing the Ph.D. degree with the Electrical and Electronic Engineering Department, PSG College of Technology, Coimbatore, Tamil Nadu, India. His areas of research interest are Control Systems, Non-linear control and Process Control Optimization.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.
buchversandmimpf2000
Emtmannsberg, BAYE, Germania
Venditore AbeBooks dal 23 gennaio 2017
Tariffe di spedizione da Germania a U.S.A.
| Articolo | Da 60 a 60 giorni lavorativi | Da 60 a 60 giorni lavorativi |
|---|---|---|
| Primo articolo | EUR 60,00 | EUR 75,00 |
Metodi di pagamento
- Assegno
- PayPal
Descrizione dello Store
Impressum Thorsten Retsch Buchversand Mimpf2000 Oberölschnitz 16 95517 Emtmannsberg Deutschland Telefon: 09209-2023188 Email: mimpf2000@online.de USt-ID-Nr.: DE 235096871 Wir führen gebrauchte Bücher aus allen Sparten der Literatur
Specializzazione
Modernes Antiquariat - Bücher von 1960 bis heuteInformazioni sull’azienda del venditore
buchversandmimpf2000
Germania
Condizioni di vendita
Impressum
Gesetzliche Anbieterkennung:
Thorsten Retsch
Buchversand Mimpf2000
Oberölschnitz 16
95517 Emtmannsberg
Deutschland
Telefon: 092092023188
E-Mail: order@buchversandmimpf2000.de
USt-IdNr.: DE 235096871
Alternative Streitbeilegung:
Die Europäische Kommission stellt eine Plattform für die außergerichtliche Online-Streitbeilegung (OS-Plattform) bereit, aufrufbar unter http://ec.europa.eu/odr.
Diritto di recesso
Se sei un consumatore puoi recedere dal contratto in conformità con quanto segue. Per Consumatore si intende qualsiasi persona fisica che agisce per scopi estranei alla propria attività commerciale, imprenditoriale, artigianale o professionale.
Informazioni sul diritto di recesso
Diritto legale di recesso
Hai il diritto di recedere dal presente contratto entro 14 giorni senza fornire alcuna motivazione.
Il periodo di recesso scade dopo 14 giorni dal giorno in cui tu o una terza parte, diversa dal vettore e da te indicata, acquisisce il possesso fisico dell'ultimo bene o dell'ultimo lotto o pezzo.
Per esercitare il diritto di recesso, compila e invia elettronicamente una dichiarazione esplicita sul nostro sito Web, alla voce “I miei acquisti” nella sezione “Mio account”. Ti comunicheremo senza indugio una conferma di ricezione di tale recesso su un supporto durevole (ad es. via e-mail).
Per rispettare il termine di recesso, è sufficiente inviare la comunicazione relativa all'esercizio del diritto di recesso prima della scadenza del periodo di recesso stesso.
Effetti del recesso
In caso di recesso dal presente contratto, ti rimborseremo tutti i pagamenti ricevuti, compresi i costi di spedizione (ad eccezione dei costi supplementari derivanti dalla tua eventuale scelta di un tipo di spedizione diverso dal tipo meno costoso di consegna standard da noi offerto).
Potremo effettuare una detrazione dal rimborso per la perdita di valore dei beni forniti, qualora tale perdita sia il risultato di una manipolazione non necessaria da parte tua.
Eseguiremo il rimborso senza indebito ritardo e non oltre 14 giorni dal giorno in cui saremo informati della tua decisione di recedere dal presente contratto.
Il rimborso sarà effettuato utilizzando lo stesso mezzo di pagamento da te usato per la transazione iniziale, salvo che tu non abbia espressamente concordato altrimenti; in ogni caso, non dovrai sostenere alcun costo quale conseguenza di tale rimborso.
Possiamo trattenere il rimborso finché non avremo ricevuto i beni oppure finché non avrai fornito la prova di averli rispediti, a seconda di quale condizione si verifichi per prima.
Dovrai rispedire i beni o consegnarli a buchversandmimpf2000, Emtmannsberg, BAYE, Germany, +49 09209-2023188, senza indebito ritardo e, in ogni caso, entro 14 giorni dal giorno in cui ci hai comunicato la tua volontà di recedere dal presente contratto. Il termine è rispettato se rispedisci i beni prima della scadenza del periodo di 14 giorni. I costi diretti della restituzione dei beni saranno a tuo carico. Sei responsabile solo della diminuzione del valore dei beni risultante da una manipolazione diversa da quella necessaria per stabilire la natura, le caratteristiche e il funzionamento dei beni stessi.
Eccezioni al diritto di recesso
Il diritto di recesso non si applica a:
- La fornitura di giornali, periodici o riviste ad eccezione dei contratti di abbonamento; e
- La fornitura di contenuto digitale non fornito su un supporto materiale (ad es. su un CD o DVD), se al momento dell'invio dell'ordine hai accettato l'inizio dell'esecuzione e hai riconosciuto che non avresti potuto recedere una volta iniziata l'esecuzione.
Condizioni di spedizione
Soweit in der Artikelbeschreibung keine andere Frist angegeben ist, erfolgt die Lieferung der Ware innerhalb von 3-5 Werktagen nach Vertragsschluss, bei Vorauszahlung erst nach Eingang des vollständigen Kaufpreises und der Versandkosten. Alle Preise inkl. MwSt.