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All Journal SENTIA 2015 Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan JE-Unisla ALINIER: Journal of Artificial Intelligence & Applications Journal FORTEI-JEERI J-Innovation
M Agil Haikal
Universitas Darul Ulum
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : Journal FORTEI-JEERI

 1 
Hybrid Design Optimization of Heating Furnace Temperature using ANFIS-PSO Machrus Ali; Hidayatul Nurohmah; Rukslin; Dwi Ajiatmo; M Agil Haikal
Journal FORTEI-JEERI Vol. 1 No. 2 (2020): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.799 KB) | DOI: 10.46962/forteijeeri.v1i2.21

Abstract

-- Intelligent control design for industrial heating furnace temperature control is indispensable. PID, Fuzzy, and ANFIS controllers have been proven reliable and have been widely used. However, it is constrained in choosing a better gain controller. Then an approach method is given to determine the most appropriate controller gain value using the artificial intelligence tuning method. The artificial intelligence method used is a combination of the Adaptive Neuro Fuzzy Inference System and Particle Swarm Optimization (ANFIS-PSO) methods. As a comparison, several methods were used, namely; Conventional PID (PID-Konv), Matlab Auto tuning PID (PID-Auto), PSO tuned PID (PID-PSO), and Hybrid ANFIS-PSO. The ANFIS-PSO controller is the best choice compared to conventional single loop control systems, conventional PID, and matlab 2013a auto tuning methods to control this nonlinear process. The simulation results show that the ANFIS-PSO design is the best method with overshot = 0.0722, undershot 0.0085, and settling time at 18.8789 seconds which can produce a fast response with strong dynamic performance.
Co-Authors Dandy Tulus Herlambang Dwi Ajiatmo Effendi Hidayatul Nurohmah M Nur Hasan Machrus Ali Ma’ruf Fauzan Mohammad Ashari Muhlasin Rizki Faulianur Rukslin Rukslin Rukslin Soedibyo Soedibyo