A Novel Modified Tornado optimizer with Coriolis force Based On Levy Flight to Optimize Proportional Integral Derivative Parameters of DC Motor
DOI:
https://doi.org/10.26740/vubeta.v2i3.39269Keywords:
DC Motor , Metaheuristic, Tornado Optimizer, Levy Flight, Artificial IntelligenceAbstract
One kind of electric motor that runs on direct current (DC) is called a DC (Direct Current) motor. This motor uses the interaction of electric current and magnetic fields to transform electrical energy into mechanical energy, or motion. Applications requiring exact speed and torque control frequently use DC motors. By minimizing errors (differences between setpoints and actual values), proportional-integral-derivative (PID) control is a control technique used to govern dynamic systems to reach desired conditions (setpoints). PID creates an ideal control signal by combining three elements. The Modified Tornado optimizer-based Coriolis force (TOC) method for DC motor control is presented in this article. The paradigm for the TOC approach is the Tornado Optimizer-Based Coriolis Force Algorithm, a metaheuristic that leverages tornado dynamics and the effect of the Coriolis force to address difficult optimization problems. According to this study, the TOC method can be improved by implementing the Levy Flight methodology. According to the results of tests employing optimal functions, the LTOC technique may broaden exploration and exploitation. Meanwhile, when the LTOC technique is applied as a DC motor controller, the optimal overshoot response value is achieved. The LTOC approach outperforms the TOC method by 0.014% and 0.037%, respectively, in terms of ITSE and ITAE values.
Author Biographies
Diego Oliva , Departamento de Ingeniería Electro-Fotónica, Universidad de Guadalajara, Guadalajara, México
Diego Oliva 
is an Associate Professor at the University of Guadalajara in Mexico. He has the distinction of National Researcher Rank 2 by the Mexican Council of Science and Technology. Currently, he is a Senior member of the IEEE. His research interests include evolutionary and swarm algorithms, hybridization of evolutionary and swarm algorithms, computational intelligence, and image processing. He can be contacted at email: diego.oliva@cucei.udg.mx.
Farhad Soleimanian Gharehchopogh, Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
Farhad Soleimanian Gharehchopogh 
received his B.S. in computer engineering from Shabestar Branch, Islamic Azad University, West Azerbaijan, Iran, in 2002, the M.S. in computer engineering from Cukurova University, Adana, Turkey, in 2011 and the Ph.D. degree in computer engineering from Hacettepe University, Ankara, Turkey in 2015. He has been an academic staff member in computer engineering at Urmia Branch, Islamic Azad University, Urmia, IRAN, from 2015 to now. He can be contacted at email: bonab.farhad@gmail.com.
Vugar Hacimahmud Abdullayev, Department of Computer Engineering, Azerbaijan State Oil and Industry University, Baku, Azerbaijan
Vugar Hacimahmud Abdullayev 
is Professor of the “Computer Engineering” Department at the Azerbaijan State Oil and Industry University, Baku, Azerbaijan. His research is related to the study of cyber-physical systems, IoT, big data, smart cities and information technologies. ORCID: 0000-0002-3348-2267.
Widi aribowo, Department of Electrical Engineering, Faculty of Vocational Studies, Universitas Negeri Surabaya, Surabaya, Indonesia, Indonesia
Widi Aribowo 
is a lecturer in the Department of Electrical Engineering, Universitas Negeri Surabaya, Indonesia. He is received the BSc from the Sepuluh Nopember Institute of Technology (ITS) in Power Engineering, Surabaya in 2005. He is received the M.Eng from the Sepuluh Nopember Institute of Technology (ITS) in Power Engineering, Surabaya in 2009. He is mainly research in the power system and control. He can be contacted
at email: widiaribowo@unesa.ac.id.
Asmunin Asmunin, Informatics Management Study Program, Faculty of Vocational, Universitas Negeri Surabaya, Surabaya, Indonesia
Asmunin 
is a lecturer in the Department of Informatics, Universitas Negeri Surabaya, Indonesia. He is received the BSc from the Sepuluh Nopember Institute of Technology (ITS) in Informatics Engineering, Surabaya in 2005. He is received the M.Sc from the Sepuluh Nopember Institute of Technology (ITS) in Informatics Engineering, Surabaya in 2016. He is mainly research in the maching learning dan steganography. He can be contacted at email: asmunin@unesa.ac.id.
Andi Iwan Nurhidayat, Informatics Management Study Program, Faculty of Vocational Studies, Surabaya State University
Andi Iwan Nurhidayat 
is a lecturer in the Department of Informatics, Universitas Negeri Surabaya, Indonesia. He is received the BSc from the Sepuluh Nopember Institute of Technology (ITS) in Informatics Engineering, Surabaya in 2005. He is received the M.Sc from the Sepuluh Nopember Institute of Technology (ITS) in Informatics Engineering, Surabaya in 2016. He is mainly research in the maching learning dan webometrics. He can be contacted at email: andyl34k5@unesa.ac.id.
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