Forkloader Position Control for A Mini Heavy Loaded Vehicle using Fuzzy Logic-Antiwindup Control

This paper presents a proposed integrated Takagi-Sugeno-Kang (TSK) type Fuzzy Logic control (TSK-FLC) with Antiwindup elements for a forkloader position control of a Mini Heavy Loaded Forklift Autonomous Guided Vehicle (MHeLFAGV). The study was carried out by modeling TSK-FLC as a close-loop control...

Full description

Bibliographic Details
Main Authors: Wan Mohd Nafis, Wan Lezaini, Addie, Irawan, Sheikh Norhasmadi, Sheikh Ali
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/18190/
http://umpir.ump.edu.my/id/eprint/18190/
http://umpir.ump.edu.my/id/eprint/18190/
http://umpir.ump.edu.my/id/eprint/18190/1/Forkloader%20Position%20Control%20for%20A%20Mini%20Heavy%20Loaded%20Vehicle%20using%20Fuzzy%20Logic-Antiwindup%20Control.pdf
id ump-18190
recordtype eprints
spelling ump-181902017-10-31T02:37:38Z http://umpir.ump.edu.my/id/eprint/18190/ Forkloader Position Control for A Mini Heavy Loaded Vehicle using Fuzzy Logic-Antiwindup Control Wan Mohd Nafis, Wan Lezaini Addie, Irawan Sheikh Norhasmadi, Sheikh Ali TK Electrical engineering. Electronics Nuclear engineering This paper presents a proposed integrated Takagi-Sugeno-Kang (TSK) type Fuzzy Logic control (TSK-FLC) with Antiwindup elements for a forkloader position control of a Mini Heavy Loaded Forklift Autonomous Guided Vehicle (MHeLFAGV). The study was carried out by modeling TSK-FLC as a close-loop control for the each axis of the fork-lift’s movement. The degree of membership is designed with reference to the system response, in which ultrasonic sensor with 1cm resolution is used. Moreover, the rule base is determined and optimized to deal with microcontroller processing speed. In order to cater for the windup phenomenon, a proportional and integrated antiwindup elements are integrated into the TSK-FLC model. This control strategy consumes less memory and is expected to increase the time response of the control system. The experiment and analysis is done on the actual forkloader unit of MHeLFAGV system. The experiment was done on the vertical axis motion since horizontal motion will have the same characteristic pattern of implementation and characteristic of tuning. The experiment shows that the proposed integrated TSK-FLC with antiwindup elements is able to speed up the time response of the system and eliminate the overshoot as well as oscillation on the forkloader movement. Universitas Ahmad Dahlan 2017 Article PeerReviewed application/pdf en cc_by_nc_nd http://umpir.ump.edu.my/id/eprint/18190/1/Forkloader%20Position%20Control%20for%20A%20Mini%20Heavy%20Loaded%20Vehicle%20using%20Fuzzy%20Logic-Antiwindup%20Control.pdf Wan Mohd Nafis, Wan Lezaini and Addie, Irawan and Sheikh Norhasmadi, Sheikh Ali (2017) Forkloader Position Control for A Mini Heavy Loaded Vehicle using Fuzzy Logic-Antiwindup Control. Telkomnika, 15 (2). pp. 739-745. ISSN 1693-6930 http://www.journal.uad.ac.id/index.php/TELKOMNIKA/article/view/6110/0 DOI: 10.12928/TELKOMNIKA.v15i2.6110
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Wan Mohd Nafis, Wan Lezaini
Addie, Irawan
Sheikh Norhasmadi, Sheikh Ali
Forkloader Position Control for A Mini Heavy Loaded Vehicle using Fuzzy Logic-Antiwindup Control
description This paper presents a proposed integrated Takagi-Sugeno-Kang (TSK) type Fuzzy Logic control (TSK-FLC) with Antiwindup elements for a forkloader position control of a Mini Heavy Loaded Forklift Autonomous Guided Vehicle (MHeLFAGV). The study was carried out by modeling TSK-FLC as a close-loop control for the each axis of the fork-lift’s movement. The degree of membership is designed with reference to the system response, in which ultrasonic sensor with 1cm resolution is used. Moreover, the rule base is determined and optimized to deal with microcontroller processing speed. In order to cater for the windup phenomenon, a proportional and integrated antiwindup elements are integrated into the TSK-FLC model. This control strategy consumes less memory and is expected to increase the time response of the control system. The experiment and analysis is done on the actual forkloader unit of MHeLFAGV system. The experiment was done on the vertical axis motion since horizontal motion will have the same characteristic pattern of implementation and characteristic of tuning. The experiment shows that the proposed integrated TSK-FLC with antiwindup elements is able to speed up the time response of the system and eliminate the overshoot as well as oscillation on the forkloader movement.
format Article
author Wan Mohd Nafis, Wan Lezaini
Addie, Irawan
Sheikh Norhasmadi, Sheikh Ali
author_facet Wan Mohd Nafis, Wan Lezaini
Addie, Irawan
Sheikh Norhasmadi, Sheikh Ali
author_sort Wan Mohd Nafis, Wan Lezaini
title Forkloader Position Control for A Mini Heavy Loaded Vehicle using Fuzzy Logic-Antiwindup Control
title_short Forkloader Position Control for A Mini Heavy Loaded Vehicle using Fuzzy Logic-Antiwindup Control
title_full Forkloader Position Control for A Mini Heavy Loaded Vehicle using Fuzzy Logic-Antiwindup Control
title_fullStr Forkloader Position Control for A Mini Heavy Loaded Vehicle using Fuzzy Logic-Antiwindup Control
title_full_unstemmed Forkloader Position Control for A Mini Heavy Loaded Vehicle using Fuzzy Logic-Antiwindup Control
title_sort forkloader position control for a mini heavy loaded vehicle using fuzzy logic-antiwindup control
publisher Universitas Ahmad Dahlan
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/18190/
http://umpir.ump.edu.my/id/eprint/18190/
http://umpir.ump.edu.my/id/eprint/18190/
http://umpir.ump.edu.my/id/eprint/18190/1/Forkloader%20Position%20Control%20for%20A%20Mini%20Heavy%20Loaded%20Vehicle%20using%20Fuzzy%20Logic-Antiwindup%20Control.pdf
first_indexed 2023-09-18T22:25:37Z
last_indexed 2023-09-18T22:25:37Z
_version_ 1777415946517872640