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Journal : Jurnal Natural

 1 
Optimization of fuzzy entropy on solar panel’s motor MUHAMMAD IKHWAN; MARWAN RAMLI; MARDLIJAH MARDLIJAH
Jurnal Natural Volume 22 Number 1, February 2022
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1290.897 KB) | DOI: 10.24815/jn.v22i1.23187

Abstract

Renewable energy has been in great demand by the public, even some countries have set regulations for substitution and transition from fossil energy to renewable energy. This study aims to modify the fuzzy control system with a metaheuristic method, namely fuzzy entropy. The entropy value of the fuzzy set in the previous stage becomes the basis for calculating the foot of uncertainty in the new fuzzy set. This process makes the entropy method parallel to other optimization methods that have been carried out on fuzzy control systems. The results obtained indicate that the modified fuzzy control system successfully controls the angle and angular velocity of the solar panel. The error value shown is very small and the time to reach stability is below 5 s. This is a rapid development of several previous studies. The modified system has no overshoot and steady state error below 1%. Based on these results, entropy research can be developed again by changing the fuzzy set to a more complex form.
Optimization of fuzzy entropy on solar panel’s motor MUHAMMAD IKHWAN; MARWAN RAMLI; MARDLIJAH MARDLIJAH
Jurnal Natural Volume 22 Number 1, February 2022
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v22i1.23187

Abstract

Renewable energy has been in great demand by the public, even some countries have set regulations for substitution and transition from fossil energy to renewable energy. This study aims to modify the fuzzy control system with a metaheuristic method, namely fuzzy entropy. The entropy value of the fuzzy set in the previous stage becomes the basis for calculating the foot of uncertainty in the new fuzzy set. This process makes the entropy method parallel to other optimization methods that have been carried out on fuzzy control systems. The results obtained indicate that the modified fuzzy control system successfully controls the angle and angular velocity of the solar panel. The error value shown is very small and the time to reach stability is below 5 s. This is a rapid development of several previous studies. The modified system has no overshoot and steady state error below 1%. Based on these results, entropy research can be developed again by changing the fuzzy set to a more complex form.
Co-Authors Achmad Fatoni Achmad Fatoni Akbar, Fadilah Alya Nur Sha-brina Asmudik Asmudik Asmudik, Asmudik Brigita Sance Damayanti, Erlyana Trie Daryono Budi Utomo Dauliyatu Achsina Dauliyatu Achsina Didik Khusnul Arif Dieky Adzkiya Dinda Anisa’ Maulina Erna Apriliani Gresela Sitorus Hakam, Amirul Hariyanto Hariyanto Hariyanto Hariyanto Hariyanto, Hariyanto Kamiran Kamiran Lukman Hanafi Lukman Hanafi Lusi Nur Rahmawati Mardiana Septiani Marwan Ramli Mohammad Isa Irawan Muhammad Hajarul Aswad Muhammad Ikhwan Nada Fitriani Azzahra Nailul Izzati Nailul Izzati Nur Asiyah Oryza Safitri Putri Saraswati Retna Shely Purwanti Rinanto, Noorman Rohman Wijaya, Ridho Nur Suhud Wahyudi Titik Mudjiati Wiwit Ratnasari Zahara, Chasna Zainullah Zuhri