Fuzzy Logic is a investigative control system method that contributes to performance in systems

Fuzzy Logic is a investigative control system method that
contributes to performance in systems. It covers almost every
electronic circuit, very large computer networks, process
automation to household gadgets. It can be used very
effectively to develop a better hardware and software
combination. Fuzzy logic provides us the flexibility to jump
to an unambiguous result to a blurred input. Its approach
enables us to emboss human like thinking which is in certain
cases based upon a blurred input; onto a machine. While
designing a control system, controller selection and tuning of
its parameters must be taken into account. Because of Fuzzy
PID control it is now possible to design a control system
which is capable of taking decisions faster and certain based
on blurred input, just like Humans. In this Paper, a
comparison of fuzzy PID controller and Conventional PID
controller is done for the most complete case of Robotic
Applications. The Fuzzy-PID performance is summarized in
terms of its input and output variables, which allows us to
analyse the Fuzzy-PID response and to compare it with the
Conventional PID. The tuning has been tested using Matlab
Simulation

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