Design of a Lorentz Force Magnetic Bearing Group Steering Law Based on an Adaptive Weighted Pseudo-Inverse Law

Aiming at the high-precision torque output and saturation singularity avoidance problems in Lorentz force magnetic bearing (LFMB) swarms for magnetic levitation spacecraft, this study designs a manipulation law based on an adaptive weighted pseudo-inverse law. The system monitors each magnetic beari...

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Vydáno v:Sensors (Basel, Switzerland) Ročník 25; číslo 10; s. 3242
Hlavní autoři: Wang, Chenyu, Li, Lei, Wang, Weijie, Zhao, Yanbin, Li, Baiqi, Ren, Yuan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland MDPI AG 21.05.2025
MDPI
Témata:
Accuracy
adaptive weighted pseudo-inverse
Aerospace engineering
Aircraft
Bearings
Design
Electromagnetism
genetic optimization algorithm
Lorentz force magnetic bearings
Magnetic fields
Magnetic levitation systems
Measuring instruments
Satellites
Sensors
Space ships
Space vehicles
steering law design
Vibration
China
genetic optimization algorithm
Lorentz force magnetic bearings
steering law design
adaptive weighted pseudo-inverse
ISSN:1424-8220, 1424-8220
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Shrnutí:Aiming at the high-precision torque output and saturation singularity avoidance problems in Lorentz force magnetic bearing (LFMB) swarms for magnetic levitation spacecraft, this study designs a manipulation law based on an adaptive weighted pseudo-inverse law. The system monitors each magnetic bearing’s working state in real time using high-precision position and current sensors. As the key input for the adaptive weighted pseudo-inverse control law, the sensor data’s measurement accuracy directly determines torque distribution effectiveness and attitude control precision. First, considering electromagnetic back-EMF effects, individual LFMB dynamics are modeled via the equivalent magnetic circuit method, with working principles elucidated. Subsequently, saturation coefficients for LFMB swarms are designed. Incorporating spacecraft maneuvering requirements, a genetic optimization algorithm establishes the optimal mounting configuration under task constraints. Considering the LFMB swarm configuration characteristics, this study proposes an adaptive weighted pseudo-inverse maneuvering law tailored to operational constraints. By designing an adaptive weighting matrix, the maneuvering law adjusts each LFMB’s torque output in real time, reducing residual saturation effects on attitude control speed and accuracy. Simulation results demonstrate that the proposed mounting configuration and adaptive weighted pseudo-inverse maneuvering law effectively mitigate saturation singularity’s impact on attitude control accuracy while reducing total energy consumption by 22%, validating the method’s effectiveness and superiority.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s25103242