Prediction of the PID Parameters for the Vibration Control with ANN Considering Half-Car Vehicle Model

Authors

  • Mustafa Eroğlu Sakarya University
  • Mehmet Akif Koç Sakarya Applied Sciences University
  • İsmail Esen Karabük University

DOI:

https://doi.org/10.59287/as-proceedings.680

Keywords:

Half Vehicle Model, PID Control, Vibrations, Active Suspension Control, Artificial Neural Network

Abstract

This study aims to reduce the rate of change in velocity of a 4-degree-of-freedom half-vehicle model, which includes two wheels and a vehicle body, by implementing a PID controller. Here, the vehicle is subjected to a sine wave with a magnitude of 0.05 m and a span of 40 m. The velocity of the car is measured as 100 kilometers per hour. The study analyzed the vehicle's vertical acceleration while maintaining a fixed speed and using a specific sine wavelength. In addition, the PID coefficients were optimized using an artificial neural network.

Author Biographies

Mustafa Eroğlu, Sakarya University

Mechanical Engineering, Engineering Faculty, Turkey

Mehmet Akif Koç, Sakarya Applied Sciences University

Mechatronics Engineering, Technology Faculty, Turkey

İsmail Esen, Karabük University

Mechanical Engineering, Engineering Faculty, Turkey

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Published

2023-12-27

How to Cite

Eroğlu, M., Koç, M. A., & Esen, İsmail. (2023). Prediction of the PID Parameters for the Vibration Control with ANN Considering Half-Car Vehicle Model. AS-Proceedings, 1(7), 258–262. https://doi.org/10.59287/as-proceedings.680

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