This Electronics Engineering Seminar Topic deals with the following:
Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing non-linear controllers via the use of heuristic information. Since heuristic information may come from an operator who has acted as “a human in the loop” controller for a process. In the fuzzy control design methodology, a set of rules on how to control the process is written down and then it is incorporated into a fuzzy controller that emulates the decision making process of the human. In other cases, the heuristic information may come from a control engineer who has performed extensive mathematical modelling, analysis and development of control algorithms for a particular process. The rest of the process is the same as the earlier case. The ultimate objective of using fuzzy control is to provide a user-friendly formalism for representing and implementing the ideas we have about how to achieve high performance control. Apart from being a heavily used technology these days, fuzzy logic control is simple, effective and efficient. In this paper, the structure, working and design of a fuzzy controller is discussed in detail through an in-depth analysis of the development and functioning of a fuzzy logic pH controller.
FUZZY CONTROL – The Basics
The primary goal of control engineering is to distill and apply knowledge about how to control a process so that the resulting control system will reliably and safely achieve high performance operation. Here, the effort made is to show how fuzzy logic provides a methodology for representing and implementing our knowledge about how best to control a process.
The general block diagram of a fuzzy controller is shown in figure 1. The controller is composed of four elements, viz
- A Rule Base
- An Inference Mechanism
- A Fuzzification Interface
- A Defuzzification Interface