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All Journal Jurnal Teknik ITS MEKANIKA - JURNAL TEKNIK MESIN MATAPPA: Jurnal Pengabdian Kepada Masyarakat Jurnal Elemen Journal of Robotics and Control (JRC) Journal Community Service Consortium
Eka Marliana
Universitas 17 Agustus 1945 Surabaya
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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Journal : Journal of Robotics and Control (JRC)

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Optimizing the Tuning of Fuzzy-PID Controllers for Motion Control of Friction Stir Welding Robots Marliana, Eka; Wahjudi, Arif; Nurahmi, Latifah; Batan, I Made Londen; Wei, Guowu
Journal of Robotics and Control (JRC) Vol 5, No 4 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i4.21697

Abstract

Friction stir welding (FSW) is defined as a solid-state welding method that is required to be accurate, especially for its motion. This requirement can be satisfied by implementing an accurate controller. The aim of this research was to develop an accurate control system based on a fuzzy-proportional integral derivative (PID) controller for parallel manipulator FSW robots. In order to achieve a higher accuracy in motion control, the tuning optimisation process for a fuzzy-PID controller was conducted using a genetic algorithm (GA) and particle swarm optimisation (PSO). The optimisation algorithms were applied to simultane-ously tune the fuzzy rules and output of the membership function from the fuzzy inference system (FIS). The PID controller was designed and tuned using a MATLAB® PID Tuner to obtain the desired response. It was then developed into a fuzzy-PID controller with Sugeno type-1 FIS with 2 inputs and 1 output. The tuning optimisation of the fuzzy-PID controller using GA and PSO was performed to achieve the global minimum integral absolute error (IAE) of the angular velocity. MATLAB® Simulink® was employed to test and simulate the controllers for three motors in the FSW robot model. The IAE values of the PID controller implemented for each motor were 0.03644, 0.04893, and 0.04893. The IAEs of the implemented fuzzy-PID-GA (output and rules) controller were 2.061, 2.048, and 2.048; of the implemented fuzzy-PID-GA (output) controller were 0.03768, 0.05059, and 0.05059; of the fuzzy-PID-PSO (output and rules) controller were 0.01886, 0.0253, and 0.02533; and of the fuzzy-PID-PSO (output) controller were 0.03767, 0.05059, and 0.05059. Therefore, the fuzzy-PID-PSO (output and rules) controller gave the most accurate results and outperformed the others. Keywords—Angular velocity, control system, friction stir welding, fuzzy-PID, genetic algorithm, motion, motor, parallel manipulator, particle swarm optimisation.
Co-Authors Arif Wahjudi Arif Wahjudi Ariyanto, Muhammad Hendry Dhea Fidi Pratama Dwi Guntur Febryanto Gatut Prijo Utomo Hardianto, Dedik Saputro I Made Londen Batan Ilham Winarno Ismail Ismail Jayawarsa, A.A. Ketut Maula Nafi Moch Yanuar Ramadhan Nurahmi, Latifah Saiful Fuad Wei, Guowu Winarno, Ilham