An Introduction to Fuzzy Logic Controller and its Applications (original) (raw)

Application of a Novel Fuzzy Logic Controller

2021

Today’s need becomes compulsion to make the invention in the various control system due to the continuous and regular changing in technology and industrial processes. Control system requires fast and flexible responses. The its design need to provide easy and handy practical solution so that it accomplishes the performance requirement. From last few decades, we see emerging and innovative techniques of intelligent control are in the development stage and also developed. One of the areas of soft computing is Fuzzy logic (FL). FL is a intelligent control ability. Its knowledge based operational rules is useful for implementation with ease to control a complex system. In this article, a simple fuzzy controller structure is proposed. Generally we require information on the derivation of the controlled system output variable. But proposed system does not require. Getting the data of output derivation is not so easy and it’s cost more. In this paper a fuzzy logic controller (FLC) is devel...

An Introduction to Fuzzy Control

1996

In the last few years the applications of artificial intelligence techniques have been used to convert human experience into a form understandable by computers. Advanced control based on artificial intelligence techniques is called intelligent control. Intelligent systems are usually described by analogies with biological systems by, for example, looking at how human beings perform control tasks, recognize patterns, or make decisions. There exists a mismatch between humans and machines: humans reason in uncertain, imprecise, fuzzy ways while machines and the computers that run them are based on binary reasoning. Fuzzy logic is a way to make machines more intelligent enabling them to reason in a fuzzy manner like humans. Fuzzy logic, proposed by Lotfy Zadeh in 1965, emerged as a tool to deal with uncertain, imprecise, or qualitative decision-making problems. Controllers that combine intelligent and conventional techniques are commonly used in the intelligent control of complex dynamic systems. Therefore, embedded fuzzy controllers automate what has traditionally been a human control activity.

A new methodology for designing a fuzzy logic controller

IEEE Transactions on Systems, Man, and Cybernetics, 1995

In this study, a fuzzy logic controller is developed using a new methodology for designing its rule-base. This controller consists of two rule-base blocks and a logical switch in between. The rule-base blocks admit two inputs one of which is newly devised and called "normalized acceleration" and the other one is the classical "error". The newly devised input gives a relative value about the "fastness" or "slowness" of the system response. The robustness and effectiveness of the new fuzzy logic controller over the typical MacVicar-Whelan controller has also been illustrated by simulations done on a system under various disturbances and time delays.

Fuzzy Logic Control System and its Applications

The concept of fuzzy logic is based near the human thinking and natural activities. It presents predicates which are present in nature and similar to those either big or small. This theory mimics human psychology as to how a person makes the decision faster. Fuzzy logic is a superset of conventional (Boolean) logic that has been extended to handle the concept of partial truth-truth values between "completely true" and "completely false". It can be implemented in hardware, software, or a combination of both. It can be built into anything from small, hand-held products to large computerized process control systems. In the present competitive scenario the fuzzy logic system are being adopted by the automotive manufacturers for the improvement of quality and reduction of development time and the cost as well. Fuzzy logic was conceived as a better method for sorting and handling data but has proven to be an excellent choice for many control system applications.

Fundamentals of fuzzy logic with an easy-to-use, interactive fuzzy control application

The Fuzzy Logic and the Fuzzy Control approach is an important Artificial Intelligence technique, which allows designing and developing "human-thinking" based, intelligent systems or applications that employ effective mathematical calculations to solve real-world based problems. At this point, the related technique is widely used by scientists, researchers and engineers in different disciplines and fields. In this context, this work introduces an easy-to-use, interactive Fuzzy Logic application that enables users to develop a simple "two inputs -one output" Fuzzy Control system. With its interactive using features and functions, the application also introduces fundamentals of the fuzzy logic technique.

A practical study on the implementation of fuzzy logic controllers

1999

Since the end of seventies, Fuzzy Logic Controllers (FLCs) have enjoyed a good place in intelligent and automatic control systems, mainly though their good practical results. In this paper, we describe the basis of fuzzy control and we cautiously study practical software implementations of FLCs that can be easily incorporated into real systems.

Fuzzy Logic Controllers. Methodology, Advantages and Drawbacks

X Congreso Español sobre Tecnologías y Lógica Fuzzy ESTYLF'00, 2000

In this paper, an analysis of the role of fuzzy logic controllers is carried out. Its interpretation and the conditions for successful implementation in several control structures, jointly with their advantages and drawbacks with relation to other advanced control approaches are discussed.

An introductory survey of fuzzy control

Information Sciences, 1985

This paper reviews the studies on fuzzy control by referring to most of the papers ever written on fuzzy control. As an introduction, the paper picks up key points in applying fuzzy control and shows very recent results in industrial applications. The paper also points out some interesting and important problems to be solved.