NDLI: Design and performance analysis of PID controller for an AVR system using multi-objective non-dominated shorting genetic algorithm-II

Content Provider	IEEE Xplore Digital Library
Author	Yegireddy, N.K. Panda, S.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Veer Surendra Sai Univ. of Technol. (VSSUT), Burla, India (Yegireddy, N.K.; Panda, S.)
Abstract	The proportional-integral-derivative(PID) controllers in the process plants like thermal power plants, biomedical instrumentation is of popular use. The priority of such controllers is obviously a fine tuning as a high degree of industrial expertise is required for any other alternative. So in order to get the best results of PID controllers the optimal tuning of PID gains are required. This paper presents the design and performance analysis of proportional integral derivative (PID) controller for the Automatic Voltage Regulator (AVR) system using multi objective non dominated sorting genetic algorithm-II(NSGA-II). It is required to develop the electronic control system for the synchronous generator for the stable operation of power system. The Automatic Voltage Regulator (AVR) is widely used in electrical power field to obtain the stability and good regulation of the electric system. The characteristics of alternator output required are constant voltage and constant current. To get the constant output, alternator field excitation is controlled by Automatic Voltage Regulator (AVR). The Automatic Voltage Regulator maintains the constant voltage up to certain level of load current independently of generator speed and load. This paper further deals with the robustness analysis of the AVR system tuned by NSGA-II algorithm is performed by varying the time constants of amplifier, exciter, generator and sensor in the range of-50% to +50% insteps of +25%.
Starting Page	1
Ending Page	7
File Size	324044
Page Count	7
File Format	PDF
e-ISBN	9781479941032
DOI	10.1109/ISEG.2014.7005600
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-19
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Proportional integral derivative(PID) controller Sociology Non dominated shorting genetic algorithm(NSGA-II) Linear programming Generators Integral time absolute error(ITAE) Voltage control Statistics Optimization Automatic Voltage Regulator Genetic algorithms
Content Type	Text
Resource Type	Article

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