Structural Vibration Control of the Magnetic Flywheel Based on GA-PID Neural Network

Abstract:

To overcome the difficult in modeling the mode theory for magnetic flywheel, by non-parametric frequency domain identification method for identification of system model, this paper select the PID neural network nonlinear intelligent control methods based on GA. Used a method based on iterative process to suppress the resonance, combined with zero-pole theory, this research designed a GA-based PID neural network identification controller to address the modal vibration suppression problems in the external rotor flywheel .The experiments for this paper proved the effectiveness of iterative process, and the controller can restrain the system mode vibration well.

• Periodical: Advanced Materials Research (Volumes 605-607)
• Pages: 1120-1124
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.605-607.1120
• Online since: December 2012
• Authors: Hong Ya Fu, Ping Fan Liu, Qing Chun Zhang, Guo Dong Li, Di Bo Dong
• Keywords: GA-PID Neural Network, Magnetic Flywheel, Modal Vibration Suppression

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