公开(公告)号：US11993370B2

公开(公告)日：2024-05-28

申请号：US17414715

申请日：2020-05-13

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Yuhu Wu ,  Zongyang Lv ,  Ximing Sun ,  Xiangyu Shen ,  Rui Wang

IPC: B64C29/00 ,  B64C11/48 ,  B64C39/02 ,  B64U10/10 ,  B64U10/25 ,  B64U70/80

CPC classification number: B64C29/0033 ,  B64C11/48 ,  B64C39/024 ,  B64U10/10 ,  B64U10/25 ,  B64U70/80

Abstract: A coaxial tilt-rotor unmanned aerial vehicle (CTRUAV) and a control method thereof. The CTRUAV includes three rotor modules, five rotors with motors and a control system. The three rotor modules are in an inverted triangle layout. The left and right coaxial tiltable rotor modules in the front of the CTRUAV can rotate around the plane of a fuselage. A rear rotor is installed on the rear fixed-axis rotor module. Two pairs of coaxial rotors are respectively installed on the left and right coaxial tiltable rotor modules. The left and right coaxial tiltable rotor modules include an upper rotor and a lower rotor respectively; the upper rotor and the lower rotor have opposite rotation directions and the same rotation speed during the flight. In the two pairs of coaxial rotors, the rotors on the same layers have opposite rotation directions, and the rotors on different layers have the same rotation directions.

公开(公告)号：US11022524B2

公开(公告)日：2021-06-01

申请号：US16967313

申请日：2019-11-28

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Yanhua Ma ,  Xian Du ,  Ximing Sun ,  Yuhu Wu ,  Yanlei Gao

IPC: G01M15/05 ,  G06N3/04 ,  B64F5/60 ,  G05B23/02

Abstract: A stochastic configuration network based turbofan engine health parameter estimation method is disclosed. The stochastic configuration network based turbofan engine health parameter estimation method designed by the present invention combines the model based Kalman filter algorithm and the data-driven based stochastic configuration network, i.e. using the output of the stochastic configuration network as the compensation of the Kalman filter algorithm, so as to take into account the estimated result of the Kalman filter and the estimated result of the stochastic configuration network and improve the estimation accuracy of the original Kalman filter algorithm when the measurable parameters of the turbofan engine are less than the health parameters to be estimated. In addition, the present invention effectively reduces the accuracy loss caused by the poor structure of the neural network through the stochastic configuration network, and improves the generalization ability of the network.

公开(公告)号：US11965578B2

公开(公告)日：2024-04-23

申请号：US17430548

申请日：2020-10-06

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Ximing Sun ,  Nan Duan ,  Yuhu Wu ,  Chongquan Zhong

IPC: F16F15/31 ,  F16F15/133 ,  F16F15/134 ,  F16F15/139

CPC classification number: F16F15/31 ,  F16F15/1333 ,  F16F15/13484 ,  F16F15/139

Abstract: A design method for an inerter with adaptively adjusted inertia ratio is based on a lead screw-flywheel inerter, which is to change the positions of mass blocks on a flywheel along the radial direction of the flywheel, so as to change of the moment of inertia of the flywheel, and thus to realize adaptive adjustment of the inertia ratio of the inerter. Specifically, the change of angular velocity of the flywheel is caused by the change of an external force load on a lead screw, a centrifugal force on the mass blocks in spring-mass block structures is changed by the angular velocity, and the positions of the mass blocks in the radial direction of the flywheel is determined by the balanced relation of the centrifugal force and a spring restore force, so that the design purpose is achieved.

公开(公告)号：US11305873B2

公开(公告)日：2022-04-19

申请号：US16341402

申请日：2017-10-23

Applicant: Dalian University of Technology

Inventor： Shuo Zhang ,  Zongyang Lv ,  Tao Sun ,  Yuhu Wu ,  Ximing Sun ,  Zhenyu Wu

IPC: B64C37/00 ,  B64C35/00 ,  B63B7/08 ,  B63B35/00 ,  B63G8/00 ,  B64C9/00 ,  B64C27/26 ,  B64C27/28 ,  B64C29/00 ,  B64D47/00 ,  B64C39/02

Abstract: An air, sea and underwater tilt tri-rotor UAV capable of performing vertical take-off and landing. By the method for controlling a submerged floating device and a tilt tri-rotor device, the UAV is switched among the vertical take-off and landing mode, fixed wing mode, water surface sailing mode and underwater submerging mode.