What is the fuzzy logic control?

What is the fuzzy logic control?

Fuzzy logic control is a heuristic approach that easily embeds the knowledge and key elements of human thinking in the design of nonlinear controllers [41–43]. Fuzzy logic controllers usually outperform other controllers in complex, nonlinear, or undefined systems for which a good practical knowledge exists.

What is fuzzy logic model?

The fuzzy logic model (Zadeh, 1965) is a logical mathematical procedure based on the ‘IF-THEN’ rule system, which allows the human thought process to be reproduced in a mathematical form.

What are the basic components of fuzzy logic system?

The typical structure of a fuzzy system (Fig. 2.1) consists of four functional blocks: the fuzzifier, the fuzzy inference engine, the knowledge base, and the defuzzifier. Both linguistic values (defined by fuzzy sets) and crisp (numerical) data can be used as inputs for a fuzzy system.

What are the components of fuzzy logic controller?

fuzzy controller comprises of four main components, fuzzification interface, knowledge base, inference mechanism and defuzzification interface.

Why do we use fuzzy logic controller?

Fuzzy logic controllers, and by extension, fuzzy control, seeks to deal with complexity by creating heuristics that align more closely with human perception of problems. Fuzzy logic provides a way of dealing with imprecision and nonlinearity in complex control situations.

What are the benefits of fuzzy control?

Fuzzy logic controllers (FLC’s) have the following advantages over the conventional controllers: they are cheaper to develop, they cover a wider range of operating conditions, and they are more readily customizable in natural language terms.

What is fuzzy logic explain its importance?

Fuzzy Logic is defined as a many-valued logic form which may have truth values of variables in any real number between 0 and 1. At that time, fuzzy logic offers very valuable flexibility for reasoning. Fuzzy logic algorithm helps to solve a problem after considering all available data.

How is fuzzy logic different from conventional control methods?

How is Fuzzy Logic different from conventional control methods? Explanation: FL incorporates a simple, rule-based IF X AND Y THEN Z approach to a solving control problem rather than attempting to model a system mathematically.

How is fuzzy logic different from conventional control method?

2. How is Fuzzy Logic different from conventional control methods? Explanation: FL incorporates a simple, rule-based IF X AND Y THEN Z approach to a solving control problem rather than attempting to model a system mathematically.

What are advantages of fuzzy logic?

Advantages of Fuzzy Logic System The Fuzzy logic system is very easy and understandable. The Fuzzy logic system is capable of providing the most effective solution to complex issues. The system can be modified easily to improve or alter the performance. The system helps in dealing engineering uncertainties.

What is the first step in fuzzy logic controller design?

Fuzzy Logic Controller Block Diagram Preprocessing: It is the first step involved in the design of a fuzzy logic controller. Preprocessing is the process by which the input variables to be measured are been conditioned before they enter the fuzzy logic controller [6].

What is fuzzy logic advantages and disadvantages?

A major drawback of Fuzzy Logic control systems is that they are completely dependent on human knowledge and expertise. You have to regularly update the rules of a Fuzzy Logic control system. These systems cannot recognize machine learning or neural networks.