Sustainable Hybrid Vehicle Idle Speed Control Using PID and Fuzzy Logic

Masoud Azizian Fard, Mehdi Yousefi, Geetika Aggarwal

Research output: Contribution to conferencePaperpeer-review

Abstract

Idle speed control is a crucial aspect ofenergy-efficient and sustainable engine performance, and various methods have been developed to address this problem. This study investigates the performance of two idle speed-controlling approaches based on conventional proportional-integral-derivative (PID) and fuzzy logic
controllers. A four-cylinder engine has been modelled using the Record Wave package based on the Honda Civic engine specifications. The engine performance
characteristics have been used to design the PID controller for various parameters and the fuzzy logic controller with three different membership functions with the objective of regulating the idle speed at 800 RPM while considering disturbances. The study finds that both the PID and fuzzy logic controllers effectively achieve the control objective. However, the fuzzy logic controller outperforms the PID
controller in terms of a transient response, providing a smoother and more stable idle speed control with less overshoot and settling time. The study also highlights that the choice of control method is dependent on the specific application and system requirements, with PID controllers being suitable for simpler systems and fuzzy logic controllers being more appropriate for complex or uncertain systems.
Original languageEnglish
PagesSWC2023 1570900727
Number of pages5
Publication statusPublished - 22 Aug 2023
EventEventIEEE Smart World Congress 2023: IoT for Sustainable Smart Cities - Portsmouth, United Kingdom -
Duration: 28 Aug 202331 Aug 2023
https://ieee-smart-world-congress.org/

Conference

ConferenceEventIEEE Smart World Congress 2023: IoT for Sustainable Smart Cities - Portsmouth, United Kingdom
Period28/08/2331/08/23
Internet address

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