Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Special Section: Intelligent tools and techniques for signals, machines and automation
Guest editors: Smriti Srivastava, Hasmat Malik and Rajneesh Sharma
Article type: Research Article
Authors: Yegireddy, Narendra Kumara; * | Panda, Sidharthab | Papinaidu, T.a | Yadav, K. Praveen kumara
Affiliations: [a] Department of Electrical and Electronics Engineering, Lendi Institute of Engineering and Technology, AP, India | [b] Department of Electrical and Electronics Engineering, VSSUT, Burla, India
Correspondence: [*] Corresponding author. Narendra Kumar Yegireddy, Electrical and Electronics Engineering Department, Lendi Institute of Engineering and Technology, AP 535005, India. E-mail: narenyegireddy@gmail.com.
Abstract: Automatic Voltage Regulators (AVRs) are widely used to regulate the system voltage. For satisfactory performance of AVR system, optimal design of the Proportional Integral Derivative (PID) controllers is essential. Design tasks of controllers are multiple objective problems since the controller has to satisfy performance measures. The present paper reports the performance study of PID controller with multi-objective Non Dominated Shorting Genetic Algorithm-II (NSGA-II). The design objectives are to enhance the controller performance while minimizing integral error criteria, settling time and maximum overshoot of terminal voltage. Initially a simple AVR system has been considered for checking the superiority of the proposed multi-objective approach. Comparative analysis has been carried out with recently reported techniques. Additionally, the study is extended to an autonomous power system with synchronous and diesel generators. Finally, robustness analysis is also reported by varying the time constant of generator, exciter, amplifier and sensor.
Keywords: Automatic voltage regulator, multi objective, autonomous power system
DOI: 10.3233/JIFS-169781
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 4971-4975, 2018
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl