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Materials, Methods & Technologies, Volume 1, 2007

CONTROL OF COMPOSITE STRUCTURE DYNAMIC STATE ON BASIS OF NEURAL NETWORK APPROACH
Sergey N. Shevtsov, Vladimir A. Acopyan, Sergey A. Bragin
Strony: 70-79
Opublikowano: 1 Jan 2007
Wyświetlenia: 100
Streszczenie: The adaptive system of vibration damping for finite-element model of helicopter composite main rotor blade was designed. This control system include a neural network controller based on reference model, a bunch of distributed sensors measuring the local deformations in vibrating structure and piezoelectric power actuators acting on structure by local bending and twisting torques. The mentioned controller adjust a behavior of finite element model close to behavior of reference beam model that have a best parameters of structural damping, vibration stability and weight balancing. The control system model implemented in MATLAB Simulink© have shown an essential decrease of vibration level and suppression of rotor blade finite element model dangerous auto oscillations.
Słowa kluczowe: smart structure, composite structure, active vibration damping, helicopter rotor blade, sensor, actuator, neural network
Cytowanie artykułu: Sergey N. Shevtsov, Vladimir A. Acopyan, Sergey A. Bragin. CONTROL OF COMPOSITE STRUCTURE DYNAMIC STATE ON BASIS OF NEURAL NETWORK APPROACH. Journal of International Scientific Publications: Materials, Methods & Technologies 1, 70-79 (2007). https://www.scientific-publications.net/en/article/1003542/
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