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Self-tuning Fuzzy Logic Controller Based on Takagi-Sugeno Applied to Induction Motor Drives

International Journal of Power Electronics and Drive Systems · Vol. 9 No. 4 (2018) · hlm. 1967–1975

DOI
10.11591/ijpeds.v9.i4.pp1967-1975
ISSN
2722-256X, 2088-8694
Terbit
2018-12-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Fuzzy logic controller has been the main focus for many researchers and industries in motor drives. The popularity of Fuzzy Logic Controller (FLC) is due to its reliability and ability to handle parameters changes during load or disturbance. Fuzzy logic design can be visualized in two categories, mamdani design or Takagi-Sugeno (TS). Mamdani type can facilitate the design process, however it require high computational burden especially with big number of rules and experimental testing. This paper, develop Self-Tuning (ST) mechanism based on Takagi-Sugeno (TS) fuzzy type. The mechanism tunes the input scaling factor of speed fuzzy control of Induction Motor (IM) drives Based on the speed error and changes of error. A comparison study is done between the standard TS and the ST-TS based on simulations approaches considering different speed operations. Speed response characteristics such as rise time, overshoot, and settling time are compared for ST-TS and TS. It was shown that ST-TS has optimum results compared to the standard TS. The significance of the proposed method is that, optimum computational burden reduction is achieved.

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  • Universiti Teknikal Malaysia Melaka
  • Universiti Malaysia Perlis
  • Universitas Ahmad Dahlan
  • UNSW Sydney
  • Universiti Putra Malaysia
  • Tun Hussein Onn University of Malaysia
  • University of Malaya
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  • Organisasi berbeda
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Auzani JidinUniversiti Teknikal Malaysia Melaka10
Zulhani RasinUniversiti Teknikal Malaysia Melaka10
Azrita binti AliasUniversiti Teknikal Malaysia Melaka8
Tole SutiknoUniversitas Ahmad Dahlan5
Zulkifilie IbrahimUniversiti Teknikal Malaysia Melaka5
MHN TalibUniversiti Teknikal Malaysia Melaka5
Muhammed Fazlur RahmanUNSW Sydney4
N.S.Y. FarahAfiliasi tidak diketahui4
Majed Abo AliAfiliasi tidak diketahui4
Md Hairul Nizam TalibUniversiti Teknikal Malaysia Melaka3
Muhammad Zaid AihsanUniversiti Malaysia Perlis3
Mohd Amran Mohd RadziUniversiti Putra Malaysia2
Muhamad Faizal YaakubUniversiti Teknikal Malaysia Melaka2
Faridah Hanim Mohd NohTun Hussein Onn University of Malaysia2
F. AzharUniversiti Teknikal Malaysia Melaka2
R. N. FirdausUniversiti Teknikal Malaysia Melaka2
R. SuhairiUniversiti Teknikal Malaysia Melaka2
Ainain NurUniversiti Teknikal Malaysia Melaka2
Wahidah Abdul HalimAfiliasi tidak diketahui2
Aina Suhailah Mohd AzharUniversiti Teknikal Malaysia Melaka1
Wahidah Abd HalimUniversiti Teknikal Malaysia Melaka1
Mohd Fayzul MohammedUniversiti Malaysia Perlis1
Muhd Zharif Rifqi Zuber AhmadiUniversiti Teknikal Malaysia Melaka1
Khairi RahimUniversiti Teknikal Malaysia Melaka1
Nur Hidayah Abu KhanipahUniversiti Teknikal Malaysia Melaka1
Nasrudin Abd RahimUniversity of Malaya1
S. FarinaUniversiti Teknikal Malaysia Melaka1
Mohd Saufi AhmadUniversiti Teknikal Malaysia Melaka1
Aziah KhamisUniversiti Teknikal Malaysia Melaka1
Kasrul Abdul KarimUniversiti Teknikal Malaysia Melaka1
Zainuddin Mat IsaUniversiti Malaysia Perlis1
Muhammad Haziq Md. JamalAfiliasi tidak diketahui1
Moataz M.A. AlakkadUniversiti Teknikal Malaysia Melaka1
Mohd Ruzaini HashimUniversiti Teknikal Malaysia Melaka1
Leong Hui EeUniversiti Teknikal Malaysia Melaka1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijpeds.iaescore.com/index.php/IJPEDS/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Self-tuning Fuzzy Logic Controller Based on Takagi-Sugeno Applied to Induction Motor Drives</dc:title>
	<dc:creator>Farah, Nabil</dc:creator>
	<dc:creator>H. N. Talib, M.</dc:creator>
	<dc:creator>Ibrahim, Z.</dc:creator>
	<dc:creator>M. Lazi, J.</dc:creator>
	<dc:creator>Azri, Maaspaliza</dc:creator>
	<dc:description xml:lang="en-US">Fuzzy logic controller has been the main focus for many researchers and industries in motor drives. The popularity of Fuzzy Logic Controller (FLC) is due to its reliability and ability to handle parameters changes during load or disturbance. Fuzzy logic design can be visualized in two categories, mamdani design or Takagi-Sugeno (TS). Mamdani type can facilitate the design process, however it require high computational burden especially with big number of rules and experimental testing. This paper, develop Self-Tuning (ST) mechanism based on Takagi-Sugeno (TS) fuzzy type. The mechanism tunes the input scaling factor of speed fuzzy control of Induction Motor (IM) drives Based on the speed error and changes of error. A comparison study is done between the standard TS and the ST-TS based on simulations approaches considering different speed operations. Speed response characteristics such as rise time, overshoot, and settling time are compared for ST-TS and TS. It was shown that ST-TS has optimum results compared to the standard TS. The significance of the proposed method is that, optimum computational burden reduction is achieved.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2018-12-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/14939</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v9.i4.pp1967-1975</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 9, No 4: December 2018; 1967-1975</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v9.i4</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/14939/12074</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 Nabil Farah, M. H. N. Talib, Z. Ibrahim, J. M. Lazi, Maaspaliza Azri</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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