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"Quantum-based H\u221e control implementation for Active Magnetic Bearing using a dSPACE processor-in-the-loop testing approach"

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DataCite Commons2026-04-13 更新2026-05-03 收录
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https://ieee-dataport.org/documents/quantum-based-h-control-implementation-active-magnetic-bearing-using-dspace-processor-0
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"Active magnetic bearings, inherently unstable in open-loop and nonlinear, are essential for high-speed, non-contact processes enabled by electromagnetic levitation. However, robust framework like H\u221e controls often fall short to mitigate nonlinearities due to operational or dynamic factors. An improved approach to the design and implementation of a modified H\u221e control system for a single coil AMBs operating at a high airgap is presented in this paper. The control approach has two primary objectives: first, to develop an H\u221e controller using quantum-dependent weighting functions for sensitivity analysis, and second, to emulate the controller on a dSPACE hardware platform. To achieve optimal system control, a density matrix eigenvalue framework is integrated with the H\u221e method, combining the advantages of quantum mechanics- superior linearity and superposition, with H\u221e\u2019s emphasis on robustness for improved dynamic performance. The resulting control strategy delivers precise high-frequency noise rejection, superior performance, and a 0.78ms settling time without overshooting. The dSPACE hardware-based time-domain signal quantifies its repeating sequence while incorporating environmentally induced decoherence effects. This work highlights the prospect of quantum-based robust control frameworks to further develop classical control strategies."
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IEEE DataPort
创建时间:
2026-04-13
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