Abstract
In recent decades, the control of motion and navigation of mobile robots has received the eminent attention of researchers. Motion control is an important technique that allows a mobile robot (MR) to move adaptively and precisely. The main aim of this research work is to design and analyze the architecture of the navigation and motion control systems for a mobile robot by using Simulink modeling. An encoder sensor is used to analyze the motion control. Experimental and simulation techniques are used to prove the application of the encoder sensor and dead reckoning approach to control MR motion. The modeling of the Simulink model for a motion control system for an MR through MATLAB 2022a software has been presented in this article. The main objective of this research work is to control the motion of the robot in forward and backward directions. The presented model in this paper has been verified through real-time simulation, and it shows the performance of the control system in the predefined optimal time range standard. Finally, this article provides a comprehensive survey of future research trends for the control system of MR.
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