This paper presents an optimal controller design using three different algorithms for trajectory tracking of Two Wheeled Balancing Mobile Robot (TWBMR). All the proposed algorithms have been investigated through simulations under the influence of different inputs tracking and exogenous disturbance. This attempts to validate the significance of these algorithms in balance regulation and tracking trajectory. These algorithms are represented by PID-PID based parallel dual feed-back, serial dual feed-back and hybrid optimal control using Feed-forward PID and Feed-back LQR. Simulation results are provided to demonstrate that, the hybrid controller can achieve a better robust performance in comparing to the other two design algorithms. The graphical user interface (GUI) software has been used to show the simulation results in more convenient way.
Trajectory Tracking; Self balancing; PID controller ; LQR controller; Two Wheeled Balancing Mobil robot (TWBMR).
Cite this paper
Ahmed J. Abougarair. (2020) Controllers Comparison to Balancing and Trajectory tracking a Two Wheeled Mobile Robot. International Journal of Control Systems and Robotics, 5, 28-33
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