NDLI: Designing of an interval type-2 fuzzy logic controller for Magnetic Levitation System with reduced rule base

Content Provider	IEEE Xplore Digital Library
Author	Kumar, A. Panda, M.K. Kundu, S. Kumar, V.
Copyright Year	2012
Description	Author affiliation: Electron. & Comput. Eng. Dept., Indian Inst. of Technol., Roorkee, Roorkee, India (Kumar, A.; Panda, M.K.; Kundu, S.; Kumar, V.)
Abstract	Magnetic Levitation System (MLS) is a typical multi-variable, nonlinear and unstable system. The basic aim of our research work is for suspending the steel ball without any mechanical support in desired position with help of an efficient controller. The simulation of MLS based on its mathematical model is carried out in MATLAB and its real time implementation is also achieved. In this paper an interval type-2 single input fuzzy logic controller (IT2SIFLC) is designed for a Magnetic Levitation System. For this task we have proposed an interval type-2 single input fuzzy logic controller (IT2SIFLC) based on theory of type-2 fuzzy logic systems (T2FLS) and single input theory of fuzzy logic control, which has the advantage of the total number of rules are abruptly reduced compared to interval type-2 fuzzy logic controller (IT2FLC). The tracking performance and robustness are also checked for this system. For tracking, two type of reference trajectory are modelled. One is sine wave and other is a set of constant point varying at different levels. Lastly for robust performance, disturbance is applied in MLS. The simulation and experiment results are indicating that the proposed control method has good control ability.
Sponsorship	IEEE Comput. Soc.
Starting Page	1
Ending Page	8
File Size	2450381
Page Count	8
File Format	PDF
DOI	10.1109/ICCCNT.2012.6395883
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-26
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atmospheric modeling IT2SIFLC Fuzzy logic control Single Input Fuzzy Logic Control Mathematical model MATLAB Equations Magnetic Levitation System Real-time plant IT2FLC
Content Type	Text
Resource Type	Article

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