Open AccessDynamic-force extraction for micro-propulsion testing: Theory and experimental validation
Author(s) -
Chuansheng Wang,
Guan Changbin,
Xuhui Liu,
Xudong Wang,
Fei Li,
Xilong Yu
Publication year - 2018
Publication title -
review of scientific instruments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 165
eISSN - 1089-7623
pISSN - 0034-6748
DOI - 10.1063/1.5037365
Subject(s) - propulsion , noise (video) , displacement (psychology) , pendulum , thrust , control theory (sociology) , oscillation (cell signaling) , filter (signal processing) , physics , sampling (signal processing) , force dynamics , computer science , mechanics , acoustics , mechanical engineering , engineering , psychology , genetics , control (management) , quantum mechanics , artificial intelligence , biology , computer vision , image (mathematics) , psychotherapist , thermodynamics
A dynamic-force extraction, based on the least-squares method, is proposed for micro-propulsion testing. Having modeled the displacement oscillation of a micro-newton torsional pendulum, the time evolution of the dynamic force may be calculated if the stand constants are well calibrated. According to the linear characteristic of the motion equation, a reconstruction of the dynamic thrust reduces to solving linear equations. The simulation analysis shows that the error is affected by the sensor noise and the low-pass filter as well as the sampling rate. Validation experiments were performed showing that this method reconstructs the dynamic force well up to 8 Hz with an error less than 15 N. The noise-induced error moreover varies little with frequency.
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