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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Veröffentlicht in:Applied sciences Jg. 12; H. 7; S. 3362
Hauptverfasser: Shi, Wanfa, Liu, Kun, Wei, Jingbo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.04.2022
Schlagworte:
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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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2076-3417
2076-3417
DOI:10.3390/app12073362