@inproceedings{226bf7f4430940b8971157b38bf353c3,
title = "D6114 diesel engine speed control: A case between PID controller and fuzzy logic controller",
abstract = "The engine speed controller of a conventional diesel engine is called a Governor. In order to control engine speed, the governor controls the amount of fuel using fuel rack. This study presents a development of speed control of D6114 diesel engine by using PID controller and a self-tuning fuzzy PID controller to overcome the appearance of nonlinearities and uncertainties in the systems. The self-tuning fuzzy PID controller is the combination of a classical PID and fuzzy controller. The mathematical model of the diesel engine is also done by using System Identification technique. First, PID controller was applied; then, a fuzzy logic control algorithm is used to estimate the PID coefficient in order to handle such uncertainties to produce a better control performance. Simulation tests were established using Simulink of Matlab. The obtained results have demonstrated the feasibility and effectiveness of the proposed fuzzy approach comparing to the PID controller. Simulation results are represented in this study.",
keywords = "Diesel engine, Mathematical modeling, Pid controller, Self tuning fuzzy pid controller",
author = "Mohammed, \{Naeim Farouk\} and Enzhe Song and Xiuzhen Ma and Qaisar Hayat",
year = "2014",
doi = "10.1109/ICMA.2014.6885708",
language = "English",
isbn = "9781479939787",
series = "2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014",
publisher = "IEEE Computer Society",
pages = "275--279",
booktitle = "2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014",
address = "United States",
note = "11th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014 ; Conference date: 03-08-2014 Through 06-08-2014",
}