National University of Defense Technology

Hunan University of Science and Technology

Jian Li

Yingmei Wei

Yang Ou

Jianjun Wu

Liang Bai

Yangyan Zhang

Huiyu Xu

Qingxiong Lu

Guangfu Bin

Yulun Wu

Yanming Guo

Peng Zheng

Weimin Wang

Yu Zhang

Songyang Lao

Haoyi Wang

Chao Li

Yuqiang Cheng

Sheng Tan

Yuanzheng Zhao

Biqi Wu

Pingping Yang

A method and system for controlling a vibration of a rotor in a turboshaft engine are provided. The method includes: establishing, based on a kinetic model for a rotor-casing system, a mapping matrix indicating a correspondence among an unbalance, an oil film clearance, and a vibration response; performing determination on a real-time vibration response, and skipping adjustment if the real-time vibration response is smaller than a response threshold; otherwise, approximately matching a real-time oil film clearance and the real-time vibration response with the mapping matrix to obtain a real-time unbalance; obtaining, based on the real-time unbalance and the mapping matrix, a preferred vibration response, and further obtaining a preferred oil film clearance; based on the preferred oil film clearance and the real-time oil film clearance, obtaining a clearance adjustment amount; generating a control signal based on the clearance adjustment amount, and performing adjustment based on the control signal.

Method and system for controlling vibration of rotor in turboshaft engine

An intelligent control gas suction-type electric propulsion system applicable to multi-flow regimes: an ultra-low orbit rare gas is used as a working medium for attitude orbit control and resistance compensation propulsion, the gas is collected and inputted into an intelligent feedback pressurization system by means of a parabolic gas intake duct, intelligent feedback and pressurization are performed on the gas working medium by a molecular pump and a gas pump and the medium is stored in a working fluid storage tank so as to supply a hybrid thruster system that consists of seven sets of electric thrusters to generate thrust, which may achieve multiple thrust modes, and achieve the purpose of attitude orbit control and resistance compensation.

Intelligent control gas suction-type electric propulsion system applicable to multi-flow regimes

A training method for a robust neural network based on feature matching is provided in this disclosure, which includes following steps. Step A, a first stage model is initialized. The first stage model includes a backbone network, a feature matching module and a fullple loss function. Step B, the first stage model is trained by using original training data to obtain a second stage model. Step C, the second stage model is attacked so as to generate PGD adversarial samples of the original training data, and the second stage model is trained again with the generated adversarial samples and the original training data. Step D, training parameters are adjusted and the second stage model is trained again, and parameters for which the model has highest accuracy on an original test set are saved.

Training method for robust neural network based on feature matching

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Hunan, China

Jian Li