NDLI: A supervisory loop to remedy actuator saturation: Immune approach

Content Provider	IEEE Xplore Digital Library
Author	Rashtian, M. Shahgholian, G. Shafaghi, P. Farahmand, M.
Copyright Year	2010
Description	Author affiliation: Department of Electrical Engineering, Islamic Azad University, Najaf Abad Branch, Esfahan, Iran (Shahgholian, G.; Shafaghi, P.) \|\| Young Researcher Club-Islamic Azad University Najaf Abad Branch, Esfahan, Iran (Rashtian, M.) \|\| Department of Electrical Engineering Saman Pajo Company, Esfahan, Iran (Farahmand, M.)
Abstract	This paper describes the actuator saturation problem and its solution. Actuator saturation is one the practical problem in control of various systems. Even it might cause instability. In this article we describe different problems that are caused by saturation. After that a method is proposed to remedy the effect of it. In the proposed method this problem is solved by decreasing the band width of the controller. In order to accomplish this, a supervisory control is employed which uses artificial immune algorithm to adjust the proper forward path gain and then we compare the result with fuzzy supervisor. As you will see immune supervisor has better result in compare with fuzzy model. Recently, the biological immune system arouses researchers' interest since it has several useful mechanisms which can be used for information processing. In this paper, an improved artificial immune algorithm is presented which is used in the design approach of a supervisory loop.
Starting Page	19
Ending Page	23
File Size	430968
Page Count	5
File Format	PDF
ISBN	9781424474042
e-ISBN	9781424474066
DOI	10.1109/ICECTECH.2010.5480000
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-07
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	immune feedback principle Actuators Biological system modeling Control systems Adaptive control flexible joint robots (FJR) artificial immune systems Feedback loop Fuzzy control Artificial immune systems Bandwidth supervisory loop Supervisory control Immune system
Content Type	Text
Resource Type	Article

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