Optimal Fractional-order Predictive PI Controllers (Hardcover)
Sprache: Englisch
Verlag: Springer Verlag, Singapore, Singapore, 2022
- Hardcover
- Neu
Anbieter: Grand Eagle Retail, Bensenville, IL, USAGrand Eagle Retail
Verkäufer:in bei AbeBooks seit 12. Oktober 2005
Zustand: Neu
EUR 163,22
Anzahl: 1 verfügbar
In den WarenkorbArtikelbeschreibung des Verkäufers
Hardcover. 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. Two fractional-order PI controllers are proposed and designed: fractional-order predictive PI and hybrid iterative learning based fractional-order predictive PI controller. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Bestandsnummer des Verkäufers 9789811965166
- Titel
- Optimal Fractional-order Predictive PI Controllers (Hardcover)
- Autor
- Arun Mozhi Devan Panneer Selvam
- Verlag
- Springer Verlag, Singapore, Singapore
- Erscheinungsjahr
- 2022
- Zustand
- new
- Einband
- Hardcover
- Sprache
- Englisch
- ISBN-10
- 9811965161
- ISBN-13
- 9789811965166
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.
„Inhaltsangabe“ gehört möglicherweise zu einer anderen Auflage dieses Titels.
Über die Autorin bzw. den Autor
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.
„Über diesen Titel“ gehört möglicherweise zu einer anderen Auflage dieses Titels.
Grand Eagle Retail
Bensenville, IL, USA
Verkäufer:in bei AbeBooks seit 12. Oktober 2005
Versandkosten innerhalb von USA
| Artikel | 6 bis 14 Werktage | 6 bis 16 Werktage |
|---|---|---|
| Erster Artikel | EUR 0,00 | EUR 0,00 |
Zahlungsarten
Unternehmensdaten der Verkäuferin bzw. des Verkäufers
APOLLO ONLINE CORP.
605 Geddes Street
Wilmington, DE USA 19805
Verkaufsbedingungen
We guarantee the condition of every book as it¿s described on the Abebooks web sites. If you¿ve changed
your mind about a book that you¿ve ordered, please use the Ask bookseller a question link to contact us
and we¿ll respond within 2 business days.
Books ship from California and Michigan.
Widerrufsrecht
Wenn Sie Verbraucher sind, können Sie gemäß den folgenden Bestimmungen vom Vertrag zurücktreten. Verbraucher ist jede natürliche Person, die zu Zwecken handelt, die nicht ihrer kaufmännischen, gewerblichen, künstlerischen oder beruflichen Tätigkeit zugerechnet werden können.
Informationen zum Widerrufsrecht
Gesetzliches Widerrufsrecht
Sie haben das Recht, den Vertrag innerhalb von 14 Tagen ohne Angabe von Gründen zu widerrufen.
Die Widerrufsfrist beträgt 14 Tage ab dem Tag, an dem Sie oder ein von Ihnen benannter Dritter, der nicht der Transporteur ist, die letzte Ware oder den letzten Posten oder das letzte Exemplar in Besitz genommen hat.
Um das Widerrufsrecht auszuüben, füllen Sie auf unserer Website unter „Meine Einkäufe" in „Mein Nutzerkonto" eine eindeutige Erklärung elektronisch aus und senden Sie sie ab. Wir werden Ihnen unverzüglich eine Bestätigung über den Eingang eines solchen Widerrufs auf einem dauerhaften Datenträger (z. B. per E-Mail) übermitteln.
Um die Widerrufsfrist einzuhalten, reicht es aus, dass Sie Ihre Mitteilung über die Ausübung des Widerrufsrechts vor Ablauf der Widerrufsfrist absenden.
Auswirkungen des Widerrufs
Wenn Sie diesen Vertrag widerrufen, erstatten wir Ihnen alle Zahlungen, die wir von Ihnen erhalten haben, einschließlich der Lieferkosten (mit Ausnahme der zusätzlichen Kosten, die entstehen, wenn Sie eine andere Art der Lieferung als die von uns angebotene günstigste Standardlieferung gewählt haben).
Wir können einen Abzug von der Rückerstattung für den Wertverlust der gelieferten Waren vornehmen, wenn der Verlust auf eine unnötige Behandlung durch Sie zurückzuführen ist.
Wir werden die Rückerstattung unverzüglich und nicht später als 14 Tage nach dem Tag vornehmen, an dem wir über Ihre Entscheidung, diesen Vertrag zu widerrufen, informiert wurden.
Für die Rückerstattung verwenden wir dasselbe Zahlungsmittel, das Sie für die ursprüngliche Transaktion verwendet haben, es sei denn, Sie haben ausdrücklich etwas anderes vereinbart; in keinem Fall werden Ihnen aufgrund einer solchen Rückerstattung Gebühren berechnet.
Wir können die Rückzahlung verweigern, bis wir die Waren wieder zurückerhalten haben oder Sie den Nachweis erbracht haben, dass Sie die Waren zurückgesandt haben, je nachdem, was eher eintritt.
Sie müssen die Waren unverzüglich und in jedem Fall spätestens 14 Tage ab dem Tag, an dem Sie uns über den Widerruf dieses Vertrags unterrichten, an Grand Eagle Retail, Bensenville, Illinois, U.S.A., zurücksenden oder übergeben. Die Frist ist eingehalten, wenn Sie die Ware vor Ablauf der Frist von 14 Tagen zurücksenden. Sie müssen die direkten Kosten der Rücksendung der Waren tragen. Sie haften nur für einen etwaigen Wertverlust der Waren, der auf eine Behandlung zurückzuführen ist, die nicht zur Prüfung der Art, Eigenschaften und Funktionsweise der Waren erforderlich ist.
Ausnahmen vom Widerrufsrecht
Das Widerrufsrecht gilt nicht für:
- Die Lieferung von Zeitungen, Zeitschriften oder Magazinen mit Ausnahme von Abonnementverträgen; und
- Die Lieferung digitaler Inhalte, die nicht auf einem physischen Medium (z. B. auf einer CD oder DVD) geliefert werden, wenn Sie bei Ihrer Bestellung akzeptiert haben, dass wir mit der Lieferung beginnen können und dass Sie nach Beginn der Lieferung den Vertrag nicht mehr widerrufen können.
Versandbedingungen
Orders usually ship within 2 business days. All books within the US ship free of charge. Delivery is 4-14 business days anywhere in the United States.
Books ship from California and Michigan.
If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.