Open AccessDesign and implementation of adaptive neuro-fuzzy inference system for the control of an uncertain ball and beam apparatus
Author(s) -
Muhammad Mubasher Saleem,
Muhammad Laiq Ur Rahman Shahid,
Ahmed Nouman,
Hammad Zaki,
Muhammad Atiq Ur Rehman Tariq
Publication year - 2022
Publication title -
mehran university research journal of engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2413-7219
pISSN - 0254-7821
DOI - 10.22581/muet1982.2202.17
Subject(s) - mechatronics , adaptive neuro fuzzy inference system , control engineering , computer science , fuzzy control system , control theory (sociology) , pid controller , control system , adaptive control , ball (mathematics) , automation , inference system , artificial intelligence , fuzzy logic , engineering , control (management) , temperature control , mathematics , mechanical engineering , mathematical analysis , electrical engineering
Controlling an uncertain mechatronic system is challenging and crucial for its automation. In this regard, several control-strategies are developed to handle such systems. However, these control-strategies are complex to design, and require in-depth knowledge of the system and its dynamics. In this study, we are testing the performance of a rather simple control-strategy (Adaptive Neuro- Fuzzy Inference System) using an uncertain Ball and Beam System. The custom- designed apparatus utilizes image processing technique to acquire the position of the ball on the beam. Then, desired position is achieved by controlling the beam angle using Adaptive Neuro-Fuzzy and PID control. We are showing that adaptive neuro-fuzzy control can effectively handle the system uncertainties, which traditional controllers (i.e., PID) cannot handle.