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Harmonic Suppression of Shunt Hybrid Filter Using LQR-PSO based

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 7 No. 2 (2017)

DOI
10.11591/ijece.v7i2.pp869-876
ISSN
2088-8708, 2088-8708
Terbit
2017-04-01
Penerbit
Institute of Advanced Engineering and Science
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

In linear quadratic regulator (LQR), two different weighting matrices play an important role in presenting the performance of this controller. Instead of using classic common approach, which is trial and error method, this study proposes a particle swarm optimization (PSO) algorithm to track the best solution of the weighting matrices. The proposed algorithm is tested on shunt hybrid active power filter (APF) to mitigate the harmonic contents in voltage and current signals in a nonlinear load system. The modeling work of this proposed system is simulated using MATLAB/Simulink software. From the simulation, the obtained results proved that using PSO in tuning the LQR controller produce smoother nonlinear voltage and current signals. In fact, the amount of current to be injected into network can be reduced up to 95%. Besides, less time is consumed during searching the optimum weighting matrices using the proposed approach.

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  • University of Technology Malaysia
  • State University of Malang
  • Beijing Jiaotong University
  • Universiti Teknologi MARA
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Rekan penulisOrganisasiArtikel bersama
Aede Hatib Mustaamal@JamalAfiliasi tidak diketahui3
Ir Baharruddin IshakAfiliasi tidak diketahui3
Mariyati MarzukiAfiliasi tidak diketahui3
Dalila Mat SaidUniversity of Technology Malaysia1
Nasarudin AhmadUniversity of Technology Malaysia1
Nur Adrinna Shafiqa ZakariaUniversity of Technology Malaysia1
Mohamad Shazwan Shah JamilUniversity of Technology Malaysia1
Sohrab MirsaeidiBeijing Jiaotong University1
Aji Prasetya WibawaState University of Malang1
Saodah OmarUniversiti Teknologi MARA1
Arif Nur AfandiState University of Malang1
Aripriharta AriprihartaState University of Malang1
Sujito SujitoState University of Malang1
Muhammad Cahyo BagaskoroState University of Malang1
Yuni RahmawatiState University of Malang1
Gregorius Paulus Mario Laka KakiState University of Malang1
Ayu PurwatiningsihState University of Malang1

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Sumber metadata: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, pertama di-harvest 27 Okt 2026, terakhir terlihat 8 Nov 2026.
Metadata sebagai oai_dc, dikonversi dari Crossref
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