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    Item type:Publication,
    Servo state feedback control of the self balancing robot using MATLAB
    (2012-12-01)
    Kongratana, V.
    ;
    Gulphanich, S.
    ;
    Tipsuwanporn, V.
    ;
    Huantham, P.
    In this paper, the servo state feedback control of the self balancing robot is proposed. Balancing robot system to control is used ADXL3xx accelerometer as sensors to measure the angle and angle changes and then sends signals to the Servo motor for robot can balance the stability, respectively. Self Balancing robot control are application of MATLAB / Simulink program which served to simulation the process system and control self balancing robot in real-time by FiO board. More importantly, the robot system use Servo state feedback control that is implemented on FiO Board. Finally, the results from simulation with the experimental results from to comparison. The results shown that servo state feedback control system designed and implement to the FiO Board can stabilize the self balancing robot are satisfied. © 2012 ICROS.
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    Item type:Publication,
    Controller design base on servo state feedback for two-wheeled balancing robot
    (2012-01-01)
    Huantham, P.
    ;
    Kongratana, V.
    ;
    Gulphanich, S.
    ;
    Tipsuwanporn, V.
    This paper presents the controller design for the two-wheeled balancing robot system. The proportional- derivative (PD) controller was designed to compare the performance with servo state feedback controller designed by pole placement technique. Both controllers are used to stabilize the two-wheeled balancing robot system. Simulation results show that servo state feedback design can stabilize the balancing robot. Moreover, the presence of its large deviation angle is also better than PD controller.