The Implementation and Comparison of Fuzzy Logic Control Systems to Modern Control Methods on Low-Cost Hardware

Author

Cristian A. Barron, The University of Texas Rio Grande Valley

Date of Award

12-2020

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Mechanical Engineering

First Advisor

Dr. Horacio Vasquez

Second Advisor

Dr. Dumitru Caruntu

Third Advisor

Dr. Stephen Crown

Abstract

Modern control engineering provides many options to automate systems for which a mathematical model is required. Another control does not rely on the mathematical model of the system and is known as fuzzy logic control. In this study, a literature review is conducted on existing control systems strategies such as proportional integral and derivative (PID), linear quadratic regulator (LQR), and fuzzy logic controller (FLC), the complexity of the systems they control, and their strengths and weaknesses. In addition, a series of experiments are conducted, both through simulations in MATLAB Simulink and using their implementation using the actual physical hardware to test the effectiveness of said controllers. The effect of changing fuzzy logic membership functions is also determined. The settling times of controllers are compared using a physical prototype of a mechanical arm. Lastly, dead zone correction techniques are addressed and implemented.

Comments

Copyright 2020 Cristian A. Barron. All Rights Reserved.

https://go.openathens.net/redirector/utrgv.edu?url=https://www.proquest.com/dissertations-theses/implementation-comparison-fuzzy-logic-control/docview/2553829787/se-2?accountid=7119

Recommended Citation

Barron, Cristian A., "The Implementation and Comparison of Fuzzy Logic Control Systems to Modern Control Methods on Low-Cost Hardware" (2020). Theses and Dissertations. 617.
https://scholarworks.utrgv.edu/etd/617