Movement Control of Robot using Fuzzy PID Algorithm

Abstract

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.