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ITS » Master Theses » Sistem Pengaturan S2
Posted by anis at 23/12/2006 11:58:17  •  39051 Views


PERANCANGAN PENGATURAN POSISI PENEMPATAN BARANG PADA CRANE LENGAN FLEKSIBEL DENGAN KONTROL JARINGAN SYARAF TIRUAN

DESIGN OF LOAD PLACEMENT POSITION CONTROL ON FLEXIBLE ARM CRANE WITH ARTIFICIAL NEURAL NETWORK

Author :
SANTRl 




ABSTRAK

Crane lengan fleksibel adalah sebuah alat yang digunakan oleh banyak perusahaan ataupun industri dituntut memiliki unjuk kerja yang optimum dapat memindahkan barang dengan cepat ayunan bisa diredam serta tepat dalam menempatkan posisi barang. Supaya kecepatan sebuah crane bisa diatur dan ayunannya bisa diredam seorang operator harus memberikan tegangan yang sesuai kepada motor penggeraknya. Seorang operator yang berpengalaman dia dapat menjalankan crane dengan baik sesuai dengan tuntutan di atas. Permasalahannya adalah human error mesti terjadi karena faktor kejenuhan dan ketelitian. Untuk mengatasi permasalahan tersebut di atas maka pada penelitian ini ditawarkan sebuah rancangan dan implementasi pengaturan posisi penempatan barang pada crane lengan fleksibel menggunakan sistem kontrol jaringan syaraf tiruan. Aturan yang dipakai oleh operator diberikan kepada sistem sebagai pola pada jaringan. Hasil yang diperoleh dengan penerapan sistem kontrol jaringan syaraf tiruan yaitu dapat menirukan cara kerja operator yang berpengalaman dimana waktu yang digunakan untuk memindahkan barang bisa cepat dengan ayunan sekecil-kecilnya menempatkan barang bisa tepat dengan persentase error steady state kurang dari lima persen.


ABSTRACT

Flexible arm crane is generally used in industry to perform load placement that expected to have good acceleration dampened swing and good accuracy of output. In order to control the speed of a crane and to dampen its swing the operator should apply an appropriate voltage to the motor driver. An experienced operator may be able to perform the crane controlling as well as expected. But it will be a problem if there is human error due to activity saturation and precision. In this research the problem of human error will be covered by designing and making the implementation of load placement position control on flexible arm crane with artificial neural network control system. The rules used by operator will be taken as reference model of the network in this system. The results from the implementation of the artificial neural network control in this system are as follows - The crane is able to do as an experienced operator perform load placement with quick acceleration and minimum swings. - The accuracy of load placement is good enough with percentage of steady state error less than 5.



Keywordscrane lengan fleksibel; pengaturan posisi; jaringan syaraf tiruan ;flexible arm crane; position control; artificial neural network
 
Subject:  sistem pengoperasian komputer
Contributor
  1. Dr. Ir MUMAMMAD NUH, DEA.
Date Create: 23/12/2006
Type: Text
Format: pdf ; 70 pages
Language: Indonesian
Identifier: ITS-Master-3100003018397
Collection ID: 3100002015934
Call Number: 006.32 San p


Source
Theses Electrical Engineering RT 006.32 San p, 2002

Coverage
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Copyright @2002 by ITS Library. This publication is protected by copyright and permission should be obtained from the ITS Library prior to any prohibited reproduction, storage in a retrievel system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. For information regarding permission(s), write to ITS Library




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ITS-Master-3100002015934-178.pdf




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