PDCA-Guided Development of Fuzzy Logic Controller for Autonomous Vehicle Cruise Control and Collision Avoidance Universidade Federal de Santa Catarina, Postgraduate Program

Format:

Book

Conference/Event

Author/Creator:

Branco, César Tadeu Nasser Medeiros, author.

Contributor:

Santos, Rafael Celestino

Conference Name:

SAE Brasil 2024 Congress (2024-10-16 : Sao Paolo, Brazil)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2024

Summary:

The advancement of the automotive industry towards automation has fostered a growing integration between this field and automation. Future projects aim for the complete automation of the act of driving, enabling the vehicle to operate independently after the driver inputs the desired destination. In this context, the use of simulation systems becomes essential for the development and testing of control systems. This work proposes the control of an autonomous vehicle through fuzzy logic. Fuzzy logic allows for the development of sophisticated control systems in simple, easily maintainable, and low-cost controllers, proving particularly useful when the mathematical model is subject to uncertainties. To achieve this goal, the PDCA method was adopted to guide the stages of defining the problem, implementation, and evaluation of the proposed model. The code implementation was done in Python and validated using different looping scenarios. Three linguistic variables were used, one with three fuzzy sets. As a result, nine rules were implemented in order to evaluate the vehicle's response. An iterative loop was proposed to model different acceleration, deceleration or speed maintenance scenarios. The implementation of a system controlled by fuzzy logic was performed using the Python programming language. The simulations validated the speed adjustment, proving to be efficient for applications in autonomous vehicles as a simple and low computational cost approach

Notes:

Vendor supplied data

Publisher Number:

2024-36-0188

Access Restriction:

Restricted for use by site license