“Recently a lot of work has been done in the self balancing of objects. The concept of self balancing started with the balancing of inverted pendulum. This concept extended to design of aircrafts as well. In this project, we have designed a small model of self balancing robot using the PID(Proportional, Integral, Derivative) Algorithm. Since then, this method is the new face of the industrial process control systems. This report reviews the methods involved in self balancing of objects. This project was conducted as a semester project to understand the correlation of PID on the eciency of various industrial processes. Here we focus only at providing a brief review on the eectiveness and application of the PID control. This paper has been developed by providing a brief introduction to control systems and related terminologies, with addition to the motivations for the project. Experimentation and observations have been taken, merits and demerits described with ending at the future improvements. A model of self balancing robot was developed to understand the eectiveness of PID in the world of control system. Going through some rigorous tests and experiments, the merits and demerits of the PID control system were discovered. It was found that in spite of many advantages of PID control over past methods, still this system requires a lot of improvements. It is hoped that the reader gets a good understanding of the importance of self balancing, the eectiveness and deciencies of PID control”
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