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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Mahasiswa FEB TEMA (Jurnal Tera Ilmu Akuntansi) INOVTEK POLBENG Integrated Lab Journal Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri E-Link: Jurnal Teknik Elektro dan Informatika Jurnal Pengabdian Polinema Kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat (J-ABDIMAS) Jurnal Pengabdian Mandiri Jurnal ELTEK Jurnal Teknik Ilmu dan Aplikasi
Komarudin Achmad
Politeknik Negeri Malang
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

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Journal : Bulletin of Electrical Engineering and Informatics

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Signature PSO: A novel inertia weight adjustment using fuzzy signature for LQR tuning Achmad Komarudin; Novendra Setyawan; Leonardo Kamajaya; Mas Nurul Achmadiah; Zulfatman Zulfatman
Bulletin of Electrical Engineering and Informatics Vol 10, No 1: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i1.2667

Abstract

Particle swarm optimization (PSO) is an optimization algorithm that is simple and reliable to complete optimization. The balance between exploration and exploitation of PSO searching characteristics is maintained by inertia weight. Since this parameter has been introduced, there have been several different strategies to determine the inertia weight during a train of the run. This paper describes the method of adjusting the inertia weights using fuzzy signatures called signature PSO. Some parameters were used as a fuzzy signature variable to represent the particle situation in a run. The implementation to solve the tuning problem of linear quadratic regulator (LQR) control parameters is also presented in this paper. Another weight adjustment strategy is also used as a comparison in performance evaluation using an integral time absolute error (ITAE). Experimental results show that signature PSO was able to give a good approximation to the optimum control parameters of LQR in this case.
Co-Authors A.A. Ketut Agung Cahyawan W Adhisuwignjo, Supriatna Agus Pracoyo Agus Sukoco Heru Sumarno Ahmad Baharuddin Anan Asrofi Andri Tri Setiawan Andriani Parastiwi Andy Hardiansyah Anindya Dwi Risdhayanti Ari Murtono Arief Rahman Hidayat Bambang Priyadi Dania Puspa Anggraini Dewatama, Denda DINDA AYU PERMATASARI Dwi Firdha Edi Sulistio Budi Edi Sulistio Budi Fadillah Satria Bumi Fatan Wirawan Fathoni Fathoni hairus hairus Hanik Nuryasti Hari Kurnia Safitri Hariyadi Singgih Hendi Purnata Herman Hariyadi Ilham Agung Wicaksono Indrazno Siradjuddin Khrisna Hadiwinata Leonardo Kamajaya Lukman Hendrik M. Nizar Falafi Astoro Mas Nurul Achmadiah Mas Nurul Achmadiah Mas Nurul Ahmadiyah Melania Septin Tandioga Mila Fauziyah Moh. Luqman Mohammad Luqman Mohammad Luqman Muhammad Dzulkifli Muhammad Muwafiqur Romdlon Mya Dewi Trisnawati Novendra Setyawan Nugraha Adi Putra Nurul, Alfian Ony Finata Putri, Eryna Rovika Nurvemiyana Sari Atmini Shabrina Adani Putri Shohib Muslim Sidik Nurcahyo Siswoko Siswoko Tarmukan Tarmukan Tesa Loneka Anjarsari Varianty, Anggy Restia Winarno, Totok zakhia hanifa Zulfatman Zulfatman