• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.19 no.8
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• pp.781-787
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• 2009

This research is concerned with the application of the active linear actuator to the active vibration control of structure. The active linear actuator will be mounted on the sub-frame so that it can cancel the excitation transferred from the engine. Accelerometer mounted on the sub-frame detects the vibration and its signal is fed into the DSP controller where the control algorithm is installed. The output of the DSP controller is connected to the driver which amplifies the DSP output. In general, the pulse width modulation power amplifier is used to drive the voice-coil type actuator. This study shows the dynamic characteristics of the active linear actuator and active vibration control experimental results.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2009.04a
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• pp.639-644
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• 2009

This research is concerned with the application of the active linear actuator to the active vibration control of structure. The active linear actuator will be mounted on the sub-frame so that it can cancel the excitation transferred from the engine. Accelerometer mounted on the sub-frame detects the vibration and its signal is fed into the DSP controller where the control algorithm is installed. The output of the DSP controller is connected to the driver which amplifies the DSP output. In general, the pulse width modulation power amplifier is used to drive the voice-coil type actuator. This study shows the dynamic characteristics of the active linear actuator and active vibration control experimental results.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2009.10a
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• pp.357-363
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• 2009

This paper deals with the Filtered-x Least Mean Square algorithm for a active vibration control in vehicle vibration reduction. Before applying the proposed FxLMS algorithm to automobile, the performance of the FxLMS algorithm is simulated using sensor data of a vehicle. The FxLMS algorithm requires that reference signal be a representation of disturbance signal and the plant model be incorporated into the computation path. To this end, The system identification is carried out to obtain the plant model based on the measurement results. A tachometer signal is used as reference signal. The FxLMS control algorithm is first tested using simulation and applied to a vehicle. Experimental results show that the proposed control algorithm can reduce vibration level in a short period of time.