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NISCAIR ONLINE PERIODICALS REPOSITORY (NOPR) >
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Indian Journal of Engineering and Materials Sciences (IJEMS) >
IJEMS Vol.18 [2011] >
IJEMS Vol.18(3) [June 2011] >
| Title: | ANFIS & PIλDμ controller design and comparison for overhead cranes |
| Authors: | Arpac, Hüseyin
Özgüven, Faruk |
| Keywords: | ANFIS
Fractional
PID
Fuzzy logic
Crane control
Modeling
Simulation |
| Issue Date: | Jun-2011 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | The study suggests a method of
designing an “intelligent” digital control for maintaining the load masses and
target displacement at predefined position on overhead crane system. The
control works on the basis of modeling at position control and sway angle
control. In this study, the ANFIS and PIλDμ control
system are applied to crane. Heuristic rules derived with the membership
functions then the parameters of membership functions are tuned by adaptive
neuro-fuzzy inference system (ANFIS). MATLAB, SIMULINK and Fuzzy Logic TOOLBOX
are the programming environments used for realization of the model. The
principle aim in designing the control is to assure the fastest and best
transition possible from a controller for overhead crane. A non-linear model for an overhead crane system, which takes into account a combination of a trolley and a pendulum, is derived. The overall athematical model obtained is simulated using MATLAB-SIMULINK. An
adaptive neuro-fuzzy controller, which includes three rule bases, and PID, PIλDμ,
used for position control, is successfully designed and implemented on the
below simulated model. At the same time, in this performance, more rapid and
less swing results are obtained for longer transportation distance with ANFIS
control system, compared with the results of other studies. |
| Page(s): | 191-203 |
| CC License: |  CC Attribution-Noncommercial-No Derivative Works 2.5 India |
| ISSN: | 0975-1017 (Online); 0971-4588 (Print) |
| Source: | IJEMS Vol.18(3) [June 2011]
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