NDLI: Adaptive PID controller design with application to nonlinear water level in NEKA Power Plant

Content Provider	IEEE Xplore Digital Library
Author	Yazdizadeh, A. Mehrafrooz, A. Farahani, K.D. Barzamini, R.
Copyright Year	2010
Description	Author affiliation: Iran Energy Efficiency Organization, Iran (Mehrafrooz, A.) \|\| Iran Power development Company, Tehran, Iran (Farahani, K.D.; Barzamini, R.) \|\| Power and Water University of Technology in Iran (Yazdizadeh, A.)
Abstract	In this paper, two novel adaptive PID-like controllers capable of controlling multi-variable, non-linear multi-input multiple-output (MIMO) systems are proposed. The proposed controllers are based on neural networks techniques and the learning algorithms are derived according to minimization of the error between the output of the system and the desired output. At first, two kinds of PID-like neural network controller named neural network PID and Neural network PID with internal dynamic feedbacks are introduced both of which can be used for controlling multivariable systems. The difference between these two controllers is mainly in the structure of their hidden layers that leads to their different performance. These controllers are applied to different kinds of black box, linear or nonlinear and time variant or time invariant systems. The stability of the proposed algorithm is also proven mathematically. Compared to conventional methods, more satisfactory results are achieved using the proposed methods. The simulation results show the quality performance of the proposed adaptive controllers and algorithms. Finally to show the performance of the proposed method, it is applied to the water level of tanks in water refinement process in NEKA Power Plant that is generally a very nonlinear system. Simulation results in this paper show the satisfying performance of the proposed adaptive controllers.
Starting Page	1
Ending Page	9
File Size	5672057
Page Count	9
File Format	PDF
ISBN	9781424462858
e-ISBN	9781424462872
DOI	10.1109/ISCCSP.2010.5463387
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-03
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programmable control Minimization methods Three-term control Neural networks Nonlinear control systems Control systems MIMO Error correction Adaptive control Power generation
Content Type	Text
Resource Type	Article

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