Patents by Inventor Ximing SUN

Ximing SUN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220398354
    Abstract: A modeling method for an integrated intake/exhaust/engine aero propulsion system with multiple geometric parameters adjustable includes the following steps: establishing an inlet and nozzle model by quasi one-dimensional aerodynamic thermodynamics and the method for solving the excitation system on the basis of a traditional engine component-level model; adding an inlet and engine flow balance equation and an engine and nozzle flow balance equation to the engine model, and establishing a propulsion system model based on the iteration method; and integrating the design of geometric parameters of an inlet and a nozzle into the model to realize the design of structure sizes of an intake/exhaust system and the simultaneous adjustment of multiple parameters.
    Type: Application
    Filed: December 17, 2020
    Publication date: December 15, 2022
    Inventors: Ximing SUN, Chen WANG, Lu AI, Xian DU
  • Publication number: 20220372891
    Abstract: A method for stability analysis of a combustion chamber of a gas turbine engine based on image sequence analysis belongs to the field of fault prediction and health management of aeroengine. Firstly, flow field data inside a combustion chamber of a gas turbine engine is acquired. Secondly, flow field images of the combustion chamber are preprocessed to respectively obtain a discrimination model data set and a prediction model data set. Then, a 3DWaveNet model is constructed as a generation network of a prediction model. A discrimination network of the module is constructed. The generation network and the discrimination network are combined to form the prediction model. Finally, a discrimination model is constructed according to the discrimination model data set; the training set in the discrimination model data set is used for training, and the test set is used for assessment.
    Type: Application
    Filed: January 14, 2021
    Publication date: November 24, 2022
    Inventors: Ximing SUN, Qi TANG, Hongyang ZHAO, Fuxiang QUAN, Ziyao DING, Di GUO
  • Publication number: 20220341996
    Abstract: A method for predicting faults in power pack of complex equipment based on a hybrid prediction model is provided. The method includes steps of analyzing the typical faults of the power pack of complex equipment, extracting the core set of attributes therein, decomposing the time series of the power pack into a linear part and a non-linear part, using an Autoregressive Integrated Moving Average model to forecast the linear part, using an Artificial Neural Network model to forecast the residual obtained, and the predictions of the power pack are obtained by summing the predictions of the non-linear component with the linear component. The method further includes using the hybrid prediction model and the parallel parameters of the core attributes in combination with the upper and lower limits to obtain information on the operation status of the power pack.
    Type: Application
    Filed: January 20, 2021
    Publication date: October 27, 2022
    Inventors: Ximing SUN, Aina WANG, Yingshun LI, Chongquan ZHONG
  • Publication number: 20220311366
    Abstract: The present invention belongs to the technical field of permanent magnet synchronous motor control, and provides a speed control method for a permanent magnet synchronous motor considering current saturation and disturbance suppression, which aims to effectively ensure that a current of the motor is always within a given range to avoid the problem of control performance reduction caused by the fact that the current gets into a saturation state, ensure the safety of a system, do not need to use unavailable state variables such as motor acceleration and the like, effectively estimate and compensate disturbances including parameters uncertainty and unknown load torque disturbance existing in a permanent magnet synchronous motor system, and rapidly and accurately control a speed of the motor finally. There is no need to configure a plurality of sensors in practical industrial application, so system building costs can be reduced on the one hand, and the stability of the system can be improved on the other hand.
    Type: Application
    Filed: October 27, 2020
    Publication date: September 29, 2022
    Inventors: Ximing SUN, Jianyi ZHANG
  • Publication number: 20220309122
    Abstract: The present invention belongs to the technical field of numerical calculation of aero-engines, and provides an iterative algorithm for an aero-engine model based on hybrid adaptive differential evolution, comprising the following steps: establishing a component-level model of an aero-engine; solving the engine model by a hybrid adaptive differential evolution algorithm; and establishing a dynamic calculation model of the aero-engine. The aero-engine model established by the algorithm of the present invention is widely suitable for traditional turbojet engines and turbofan engines, advanced integrated engine propulsion systems and variable cycle engines, can maintain the dynamic model calculation without dead engine or interruption, and satisfies real-time requirements under most operating conditions.
    Type: Application
    Filed: September 28, 2020
    Publication date: September 29, 2022
    Inventors: Ximing SUN, Chen WANG, Xian DU, Lu AI
  • Patent number: 11454177
    Abstract: A design method of aero-engine on-line optimization and multivariable control based on model prediction control realizes aero-engine multivariable control and on-line optimization according to thrust, rotational speed and other needs under the condition of meeting constraints. The first part is a prediction model acquisition layer that continuously establishes a small deviation linear model of an aero-engine near different steady state points based on the actual operating state of the aero-engine in each control cycle and external environment parameters and that supplies model parameters to a controller; and the second part is a control law decision-making layer which is a closed loop structure that consists of a model prediction controller and an external output feedback. The model prediction controller determines the output of the controller at next moment by solving a linear optimization problem according to an engine model in the current state, a control instruction and relevant constraints.
    Type: Grant
    Filed: June 15, 2018
    Date of Patent: September 27, 2022
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Xian Du, Yanhua Ma, Ximing Sun, Zhimin Wang
  • Patent number: 11436395
    Abstract: A method for prediction of key performance parameters of an aero-engine transition state acceleration process based on space reconstruction. Aero-engine transition state acceleration process test data provided by a research institute is used for establishing a training dataset and a testing dataset; dimension increase is conducted on the datasets based on the data space reconstruction of an auto-encoder; model parameters optimization is conducted by population optimization algorithms which is represented by particle swarm algorithm; and random forest regression algorithm performing well on high-dimensional data is used for carrying out regression on transition state performance parameters, which realizes effective real-time prediction from the perspective of engineering application.
    Type: Grant
    Filed: June 27, 2018
    Date of Patent: September 6, 2022
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Shuo Zhang, Xiaoyu Sun, Jibang Li, Ximing Sun
  • Patent number: 11433999
    Abstract: A vehicle capable of taking off and landing vertically and operating in water, land, air and submarine environments includes a fuselage, two main wings, ailerons, a vertical tail, a rudder, a horizontal tail, elevators, a propeller, rotor wings, rotor wing supports, etc. The vehicle has the advantages of adaptability to various environments, good concealment and strong survivability. Compared with a traditional unmanned rotorcraft, the vehicle has longer endurance time and larger load. Compared with a fixed wing UAV, the vertical take-off and landing function makes the work more convenient. Compared with unmanned diving equipment, the vehicle is applicable to richer environments, and can complete designated missions in air, land, water and submarine environments. Compared with a tilt rotor UAV in water, land, air and submarine environments, the vehicle is rapider in switching of various modes and is higher in stability.
    Type: Grant
    Filed: April 26, 2019
    Date of Patent: September 6, 2022
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Ximing Sun, Hongyang Zhao, Zhuocheng Jiang
  • Publication number: 20220276620
    Abstract: The present invention discloses an improved model-free adaptive control method, in particular to an improved method for a compact dynamic linearization model-free adaptive control based on MIMO systems, and belongs to the field of control algorithm design. Firstly, proportional control is added in CFDL-MFAC to improve the problems of low response speed and large overshoot in the original control system. Secondly, an anti-windup control algorithm of an actuator is added in the above control structure so that the actuator does not conduct transfinite operation when reaching the upper or lower saturation limit and the actuator can quickly make a control response when a control instruction enters an unsaturated region again to improve the control accuracy of the system. Then, it is proved through strict analysis that the improved control algorithm can ensure tracking error and BIBO stability under certain conditions.
    Type: Application
    Filed: September 9, 2020
    Publication date: September 1, 2022
    Inventors: Ximing SUN, Sixin WEN, Xian DU, Yanhua MA, Xiaoyu LIU, Yuwen HAO
  • Patent number: 11392094
    Abstract: A steady state and transition state multi-variable control method of a turbofan engine based on an active disturbance rejection control theory (ADRC) belongs to the technical field of aero-engine control. Firstly, multiple groups of manipulated variables and controlled variables of a turbofan engine are preliminarily selected, and then the manipulated variables and controlled variables with high correlation are further determined by a correlation analysis method. Each group of control instructions is planned as a tracking trajectory by using a tracking differentiator, and is used as the input of a nonlinear proportional-differential controller together with the current state estimated by the extended state observer to calculate the manipulated variables.
    Type: Grant
    Filed: December 11, 2018
    Date of Patent: July 19, 2022
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Xian Du, Yanhua Ma, Ximing Sun
  • Patent number: 11380144
    Abstract: A vehicle running status field model-based information transmission frequency optimization method in the Internet of Vehicles belongs to the technical field of network communications. The method establishes a running status field model according to the real-time running status of a road vehicle to describe the degree of risk of the vehicle, the degree of risk can be used to dynamically adjust the transmission frequency of safety-critical information, and the transmission frequency of non-safety-critical information is adjusted through the real-time transmission frequency of safety-critical information to achieve the purpose of improving the utilization ratio of link. The method establishes the running status field model of a moving vehicle, uses the risk intensity of the vehicle in the running status field to describe the current running risk of the vehicle, and takes account of different application scenarios, thereby having generality.
    Type: Grant
    Filed: July 2, 2020
    Date of Patent: July 5, 2022
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Nan Ding, Ximing Sun, Di Wu, Weiguo Xia
  • Publication number: 20220163094
    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.
    Type: Application
    Filed: October 6, 2020
    Publication date: May 26, 2022
    Inventors: Ximing SUN, Nan DUAN, Yuhu WU, Chongquan ZHONG
  • Patent number: 11333575
    Abstract: The present invention belongs to the technical field of fault diagnosis of aero-engines, and provides a method for fault diagnosis of an aero-engine rolling bearing based on random forest of power spectrum entropy. Aiming at the above-mentioned defects existing in the prior art, a method for fault diagnosis of an aero-engine rolling bearing based on random forest is provided, wherein test measured data for an aero-engine rolling bearing provided by a research institute are used for establishing a training dataset and a test dataset first; and based on an idea of fault feature extraction, time domain statistical analysis and frequency domain analysis are conducted on original collection data by adopting wavelet analysis; thereby realizing effective fault diagnosis from the perspective of engineering application.
    Type: Grant
    Filed: March 1, 2018
    Date of Patent: May 17, 2022
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Shuo Zhang, Jibang Li, Ximing Sun, Tao Sun
  • Publication number: 20220126995
    Abstract: A coaxial tilt-rotor unmanned aerial vehicle (CTRUAV) and a control method thereof. CTRUAV comprises three rotor modules, five rotors with motors respectively and a control system. 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. Namely, the left and right coaxial tiltable rotor modules consists of 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. Moreover, in the two pairs of coaxial rotors, the rotors on same layers have opposite rotation directions, and therotors on different layers have the same rotation directions.
    Type: Application
    Filed: May 13, 2020
    Publication date: April 28, 2022
    Inventors: Yuhu WU, Zongyang LV, Ximing SUN, Xiangyu SHEN, Rui WANG
  • Publication number: 20220121797
    Abstract: The present invention provides a method for analyzing global stability of a conveying fluid pipe-nonlinear energy sink system, and belongs to the technical field of system stability proof and analysis of a control system. The method comprises: establishing a high-order partial differential model of a conveying fluid pipe-nonlinear energy sink system based on a target energy transfer theory, discretizing the model into a second-order nonlinear ordinary differential form by means of the Galerkin approximation method, and further transforming the model into a quadratic model containing gradient information first; then obtaining a global stability judgment condition of the system by means of the energy disturbance technology, and verifying the theoretical results by means of the numerical method finally.
    Type: Application
    Filed: July 13, 2020
    Publication date: April 21, 2022
    Inventors: Ximing SUN, Nan DUAN, Yuhu WU, Chongquan ZHONG
  • Patent number: 11305873
    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.
    Type: Grant
    Filed: October 23, 2017
    Date of Patent: April 19, 2022
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Shuo Zhang, Zongyang Lv, Tao Sun, Yuhu Wu, Ximing Sun, Zhenyu Wu
  • Publication number: 20220092428
    Abstract: The present invention relates to a prediction method for stall and surge of an axial compressor based on deep learning. The method comprises the following steps: firstly, preprocessing data with stall and surge of an aeroengine, and partitioning a test data set and a training data set from experimental data. Secondly, constructing an LR branch network module, a WaveNet branch network module and a LR-WaveNet prediction model in sequence. Finally, conducting real-time prediction on the test data: preprocessing test set data in the same manner, and adjusting data dimension according to input requirements of the LR-WaveNet prediction model; giving surge prediction probabilities of all samples by means of the LR-WaveNet prediction model according to time sequence; and giving the probability of surge that data with noise points changes over time by means of the LR-WaveNet prediction model, to test the anti-interference performance of the model.
    Type: Application
    Filed: September 28, 2020
    Publication date: March 24, 2022
    Inventors: Ximing SUN, Fuxiang QUAN, Hongyang ZHAO, Yanhua MA, Pan QIN
  • Patent number: 11203446
    Abstract: The present invention discloses a method for fault diagnosis of the sensors and actuators of an aero-engine based on LFT, and belongs to the field of fault diagnosis of aero-engines. The method comprises: establishing an aero-engine state space model using a combination of a small perturbation method and a linear fitting method; establishing an affine parameter-dependent linear-parameter-varying (LPV) model of the aero-engine based on the model; converting the LPV model of the aero-engine having perturbation signals and sensor and actuator fault signals into a linear fractional transformation (LFT) structure to obtain an synthesis framework of an LPV fault estimator; solving a set of linear matrix inequalities (LMIs) to obtain the solution conditions of the fault estimator; and designing the fault estimator in combination with the LFT structure to realize fault diagnosis of the sensors and actuators of an aero-engine.
    Type: Grant
    Filed: December 11, 2018
    Date of Patent: December 21, 2021
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Yanhua Ma, Xian Du, Rui Wang, Min Liu, Ximing Sun
  • Publication number: 20210364388
    Abstract: The present invention provides an improved Smith predictive controller-based aero-engine H? algorithm, and belongs to the technical field of aero-engine control and simulation.
    Type: Application
    Filed: November 21, 2019
    Publication date: November 25, 2021
    Inventors: Ximing SUN, Xian DU, Yanhua MA
  • Publication number: 20210348567
    Abstract: The present invention belongs to the technical field of control of aero-engines, and proposes an adaptive boosting algorithm-based turbofan engine direct data-driven control method. First, a turbofan engine controller is designed based on the Least Squares Support Vector Machine (LSSVM) algorithm, and further, the weight of a training sample is changed by an adaptive boosting algorithm so as to construct a turbofan engine direct data-driven controller combining a plurality of basic learners into strong learners. Compared with the previous solution only adopting LS SVM, the present invention enhances the control precision, improves the generalization ability of the algorithm, and effectively solves the problem of sparsity of samples by the adaptive boosting method. By the adaptive boosting algorithm-based turbofan engine direct data-driven control method designed by the present invention.
    Type: Application
    Filed: March 19, 2020
    Publication date: November 11, 2021
    Inventors: Yanhua MA, Nan DING, Ximing SUN, Xudong ZHAO