Paper
15 April 2016 Model identification of terfenol-D magnetostrictive actuator for precise positioning control
Ashraf Saleem, Mojtaba Ghodsi, Mostefa Mesbah, Abdullah Ozer
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Abstract
Feedback control strategies are desirable for disturbance rejection of human-induced vibrations in civil engineering structures as human walking forces cannot easily be measured. In relation to human-induced vibration control studies, most past researches have focused on floors and footbridges and the widely used linear controller implemented in the trials has been the direct velocity feedback (DVF) scheme. With appropriate compensation to enhance its robustness, it has been shown to be effective at damping out the problematic modes of vibration of the structures in which the active vibration control systems have been implemented. The work presented here introduces a disturbance observer (DOB) that is used with an outer-loop DVF controller. Results of analytical studies presented in this work based on the dynamic properties of a walkway bridge structure demonstrate the potential of this approach for enhancing the vibration mitigation performance offered by a purely DVF controller. For example, estimates of controlled frequency response functions indicate improved attenuation of vibration around the dominant frequency of the walkway bridge structure as well as at higher resonant frequencies. Controlled responses from three synthesized walking excitation forces on a walkway bridge structure model show that the inclusion of the disturbance observer with an outer loop DVF has potential to improve on the vibration mitigation performance by about 3.5% at resonance and 6-10% off-resonance. These are realised with hard constraints being imposed on the low frequency actuator displacements.
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Ashraf Saleem, Mojtaba Ghodsi, Mostefa Mesbah, and Abdullah Ozer "Model identification of terfenol-D magnetostrictive actuator for precise positioning control", Proc. SPIE 9799, Active and Passive Smart Structures and Integrated Systems 2016, 97992J (15 April 2016); https://doi.org/10.1117/12.2223381
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KEYWORDS
Actuators

Systems modeling

Analog electronics

Data modeling

Data acquisition

Magnetism

Amplifiers

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