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Comparison of PID and EPID Controllers in Self Balancing Robot

Publication Type : Conference Paper

Publisher : IEEE

Source : 7th International Conference on Trends in Electronics and Informatics, ICOEI 2023 - Proceedings, 2023, pp. 157–161

Url : https://ieeexplore.ieee.org/document/10125632

Campus : Bengaluru

School : School of Engineering

Department : Electrical and Electronics

Year : 2023

Abstract : Two wheeled Self balancing robots have become more popular in recent times and used in many applications, commonly used in transportation as these balancing robots are faster and apparently stable. Balancing is achieved by using controllers tuned for the system. Inverted pendulum principle is used in these robots. This paper proposes the use of two control methods, namely Proportional-Integral-Derivative (PID) and Extended PID (EPID), for maintaining the balance of two-wheeled and self-balancing robots, even when slightly tilted, thus preventing them from falling. PID control theory generally depends up on transfer functions, this paper extends the theory using EPID. EPID provides a new perspective on the working principle of PID control and its relationship with other control theories, such as tracking control and disturbance observer. This approach is illustrated using the fundamental principle of inverted pendulum technology. The key advantage of these robots over other mobile robots is their increased stability due to zero turning radius, which allows for smoother rotations during changes in direction.

Cite this Research Publication : Sanapala, S., Deepa, K., Lekshmi, S., Akpolat, A.N., "Comparison of PID and EPID Controllers in Self Balancing Robot", 7th International Conference on Trends in Electronics and Informatics, ICOEI 2023 - Proceedings, 2023, pp. 157–161

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