Implementation and Application of Fuzzy Logic in Automobiles for the Purpose of Control, Navigation and Tracking of Non Automated and Automated Guided Vehicles

Deepak Kumar; Anish Ray; Chethan Kumar CS

CALL FOR PAPERS : Oct-2023

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25-Oct-23

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Implementation and Application of Fuzzy Logic in Automobiles for the Purpose of Control, Navigation and Tracking of Non Automated and Automated Guided Vehicles

Author(s):

Deepak Kumar , M S R I T, Bangalore; Anish Ray, M S R I T, Bangalore; Chethan Kumar CS, M S R I T, Bangalore

Keywords:

Fuzzy sets, Antilock Breaking System, Automated Guided Vehicle System, Fuzzy Logic Controller, Duty Cycle Output, mobile Robot

Abstract:

Fuzzy logic is a form of many valued logic in which the truth values of variables may be any real number between 0 and 1. By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1. Fuzzy logic has been employed to handle the concept of partial truth, where the truth value may range between completely true and completely false. The purpose of this review paper is to address the application of fuzzy logic to both address common challenges and incorporate human procedural knowledge into the vehicle control algorithms. Fuzzy logic is a powerful way to put engineering expertise into products in a short amount of time. It’s highly beneficial in automotive engineering, where many system designs involve the experience of design engineers as well as test drivers. Classical logic only permits conclusions which are either true or false. However, there are also propositions with variable answers, such as one might find when asking a group of people to identify a color. In such instances, the truth appears as the result of reasoning from inexact or partial knowledge in which the sampled answers are mapped on a spectrum.