Resonance Suppression of a Maglev Inertially Stabilized Platform Based on an Improved Recursive Least Square Algorithm

Mechanical resonance occurs during the operation of a maglev inertially stabilized platform (MISP). The MISP is driven by the motor gear and the gear clearance changes during commutation, which makes the resonance frequency variable. Conventional notch filters with constant parameters are not ideal...

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Vydané v:	Applied sciences Ročník 12; číslo 7; s. 3362
Hlavní autori:	Shi, Wanfa, Liu, Kun, Wei, Jingbo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.04.2022
Predmet:	Accuracy Algorithms Controllers dual-stage system Friction improved recursive square algorithm maglev inertially stabilized platform Magnetic levitation systems Parameter identification resonance suppression
ISSN:	2076-3417, 2076-3417
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Popis
Shrnutí:	Mechanical resonance occurs during the operation of a maglev inertially stabilized platform (MISP). The MISP is driven by the motor gear and the gear clearance changes during commutation, which makes the resonance frequency variable. Conventional notch filters with constant parameters are not ideal for variable frequency resonance suppression. In this study, the forgetting factor in the recursive least squares (RLS) algorithm was improved to estimate the resonance frequency online. By adjusting the frequency parameters of the notch filter, the proposed measures can effectively suppress the variable frequency resonance in a dual-stage MISP system. Finally, a simulation example is presented to validate the arguments in this study.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ISSN:	2076-3417 2076-3417
DOI:	10.3390/app12073362