2019
DOI: 10.1016/j.cja.2019.04.014
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An active damping vibration control system for wind tunnel models

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Cited by 27 publications
(10 citation statements)
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“…The evaluation tests of three controllers were conducted in a transonic wind tunnel and 80% reduction of vibration amplitude was achieved by NNPID and LQR algorithm (Chen et al, 2014). Liu et al (2019) presented a self-adaptive fuzzy PD control method with the self-tuning ability of control parameters and the results indicated that the damping ratio was improved more than four times.…”
Section: Introductionmentioning
confidence: 99%
“…The evaluation tests of three controllers were conducted in a transonic wind tunnel and 80% reduction of vibration amplitude was achieved by NNPID and LQR algorithm (Chen et al, 2014). Liu et al (2019) presented a self-adaptive fuzzy PD control method with the self-tuning ability of control parameters and the results indicated that the damping ratio was improved more than four times.…”
Section: Introductionmentioning
confidence: 99%
“…This can also result in low-frequency, high-amplitude resonance, which leads to poor data quality and limited test range. To achieve the planned range of tests and obtain high-quality results, an active vibration control system can be used [22]. This system is based on stacked piezoelectric actuators with velocity feedback read by an accelerometer.…”
Section: Introductionmentioning
confidence: 99%
“…Passive vibration isolation method has better high frequency vibration isolation capability, while active vibration isolation mainly has good suppression effect on low frequency vibration, including many methods, [9][10][11][12][13] such as PID control, adaptive control, component synthesis method, etc. Active-passive integrated vibration isolation method combines the advantages of the two and expands the vibration isolation bandwidth.…”
Section: Introductionmentioning
confidence: 99%