Adaptive Vibration Control of a Vertical Beam under Base Translation Excitation
For a vibration control system of a vertical beam subjected to base excitation, a dynamic model incorporating the excitation term is established based on Euler–Bernoulli beam theory. Experimental results demonstrate the accuracy of the model. An adaptive PID control algorithm based on a Kalman filter is then proposed. The algorithm uses an inclination sensor to simultaneously acquire the beam’s angular position and angular velocity. The Kalman filter provides optimal state estimates to mitigate the effects of measurement noise. Based on the filtered information, the vibration trend is predicted, and adaptive rules are constructed to adjust the PID parameters accordingly. Simulation and experimental results show that, compared with PID control, the proposed method significantly reduces the system settling time and effectively suppresses vibration.
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