Optimal Fractional-order Predictive PI Controllers
Panneer Selvam, Arun Mozhi Devan; Hussin, Fawnizu Azmadi; Ibrahim, Rosdiazli; Bingi, Kishore; M., Nagarajapandian
Language: English
Published by Springer, 2023
- Softcover
- New

Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
AbeBooks seller since November 22, 2018
Condition: New
£ 155.72
Quantity: 4 available
Add to basketItem description from seller
Seller Inventory # 26398551729
- Title
- Optimal Fractional-order Predictive PI Controllers
- Author
- Panneer Selvam, Arun Mozhi Devan; Hussin, Fawnizu Azmadi; Ibrahim, Rosdiazli; Bingi, Kishore; M., Nagarajapandian
- Publisher
- Springer
- Publication year
- 2023
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 9811965196
- ISBN 13
- 9789811965197
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
Books Puddle
New York, NY, U.S.A.
AbeBooks seller since November 22, 2018
Shipping rates within U.S.A.
| Item | 12 to 19 business days | 12 to 14 business days |
|---|---|---|
| First item | £ 2.92 | £ 5.12 |
Payment methods
Store description
Specialty
South Asian and South East Asian Culture, Religion, Art etcSeller's business information
PLETOS INC
6931 51st Avenue, WOODSIDE
Woodside, NY U.S.A. 11377
Terms of sale
We accept return for those books which are received damamged. Though we take appropriate care in packaing to avoid such situation.
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to Books Puddle, New York, New York, U.S.A., without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.