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Research on rapid frequency-domain identification of helicopter dynamics model in hover

Renliang Chen

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Abstract

A rapid frequency-domain identification algorithm is presented based on flight test data of BO105 helicopter in hover condition.Model structure for the identification is determined according to Bode sensitivity function and theoretical analysis to improve the identification accuracy.Meanwhile,an optimization algorithm to accelerate the identification procedure is developed to satisfy various convergent conditions for different identification parameters.The results indicate that the developed algorithm can identify the helicopter flight dynamics model effectively and rapidly.

About this research paper

What this paper is about

A rapid frequency-domain identification algorithm is presented based on flight test data of BO105 helicopter in hover condition.Model structure for the identification is determined according to Bode sensitivity function and theoretical analysis to improve the identification accuracy.Meanwhile,an optimization algorithm to accelerate the identification procedure is developed to satisfy various convergent conditions for different identification parameters.The results indicate that the developed algorithm can identify the helicopter flight dynamics model effectively and rapidly.

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Key contribution

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Method / approach

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Available abstract

A rapid frequency-domain identification algorithm is presented based on flight test data of BO105 helicopter in hover condition.Model structure for the identification is determined according to Bode sensitivity function and theoretical analysis to improve the identification accuracy.Meanwhile,an optimization algorithm to accelerate the identification procedure is developed to satisfy various convergent conditions for different identification parameters.The results indicate that the developed algorithm can identify the helicopter flight dynamics model effectively and rapidly.

Key concepts: Identification (biology), Frequency domain, Flight dynamics, Sensitivity (control systems), System identification, Flight test, Computer science, Dynamics (music)

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