This project focuses on designing and analyzing a neural network–based PID controller to optimize the speed control of a Brushless DC (BLDC) motor. We develop both a conventional PID controller and an ...
1 Faculty of Electrical Technology and Engineering (FTKE), Universiti Teknikal Melaka Malaysia, Melaka, Malaysia. 2 Institut Matematik Kejuruteraan (IMK), Universiti Malaysia Perlis (UniMAP), Perlis, ...
This project presents a comparative study of multiple control strategies for trajectory tracking in autonomous mobile robots. Leveraging 2D LIDAR-based SLAM for trajectory generation, we evaluate the ...
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