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).

  • Patent number: 11993370
    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.
    Type: Grant
    Filed: May 13, 2020
    Date of Patent: May 28, 2024
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Yuhu Wu, Zongyang Lv, Ximing Sun, Xiangyu Shen, Rui Wang
  • Publication number: 20240133391
    Abstract: The present invention provides a prediction method for stall and surging of an axial-flow compressor based on a deep autoregressive network. Firstly, selecting and preprocessing surging experimental data of a certain type of aero-engine, and dividing the data into a training set and a test set. Secondly, building and training a deep autoregressive network model based on an attention mechanism, using the finally trained model to conduct real-time prediction on the test set, and giving a model loss and an evaluation index. Finally, using a prediction model to conduct real-time prediction on the test data, and giving a trend of surging probability varying with time in chronological order. The present invention uses the attention mechanism to effectively capture the features of the experimental data and accurately predict the surging probability, which improve the stability and accuracy of prediction, is beneficial to improving the performance of active control of the engine.
    Type: Application
    Filed: February 22, 2022
    Publication date: April 25, 2024
    Inventors: Yingshun LI, Ziqin GONG, Ximing SUN, Fuyang QUAN
  • Patent number: 11965578
    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: Grant
    Filed: October 6, 2020
    Date of Patent: April 23, 2024
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Ximing Sun, Nan Duan, Yuhu Wu, Chongquan Zhong
  • Publication number: 20240111956
    Abstract: Disclosed are a Nested Named Entity Recognition method based on part-of-speech awareness, system, device and storage medium therefor. The method uses a BiLSTM model to extract a feature of text word data in order to obtain a text word depth feature, and each text word of text to be recognized is initialized into a corresponding graph node, and a text heterogeneous graph of the text to be recognized is constructed according to a preset part-of-speech path, the text word data of the graph nodes is updated by an attention mechanism, and the features of all graph nodes of the text heterogeneous graph are extracted using the BiLSTM model, and a nested named entity recognition result is obtained after decoding and annotating. The present disclosure can recognize ordinary entities and nested entities accurately and effectively, and enhance the performance and advantages of the nested named entity recognition model.
    Type: Application
    Filed: November 28, 2023
    Publication date: April 4, 2024
    Inventors: Jing Qiu, Ling Zhou, Chengliang Gao, Rongrong Chen, Ximing Chen, Zhihong Tian, Lihua Yin, Hui Lu, Yanbin Sun, Junjun Chen, Dongyang Zheng, Fei Tang, Jiaxu Xing
  • Publication number: 20240077039
    Abstract: The present invention provides an optimization control method for an aero-engine transient state based on reinforcement learning, and belongs to the technical field of aero-engine transient states. The method comprises: adjusting an existing twin-spool turbo-fan engine model as a model for invoking a reinforcement learning algorithm; to simultaneously satisfy high level state space and continuous action output of a real-time model, designing an Actor-Critic network model; designing a deep deterministic policy gradient (DDPG) algorithm based on an Actor-Critic frame, to simultaneously solve the problems of high-dimensional state space and continuous action output; training the model after combining the Actor-Critic frame with the DDPG algorithm; and obtaining the control law of engine acceleration transition from the above training process, and using the method to control an engine acceleration process.
    Type: Application
    Filed: May 11, 2022
    Publication date: March 7, 2024
    Inventors: Ximing SUN, Junhong CHEN, Fuxiang QUAN, Chongyi SUN
  • Publication number: 20240068907
    Abstract: The present invention provides an optimization algorithm for automatically determining variational mode decomposition parameters based on bearing vibration signals. First, mode energy is used to reflect bandwidth, a bandwidth optimization sub-model is established to automatically obtain optimal bandwidth parameter ?opt. Secondly, energy loss optimization sub-model is established to avoid under-decomposition. Thirdly, a mode mean position distance optimization sub-model is established to prevent the generation of too much K and avoid the phenomenon of over-decomposition.
    Type: Application
    Filed: May 11, 2022
    Publication date: February 29, 2024
    Inventors: Ximing SUN, Aina WANG, Yingshun LI, Pan QIN, Chongquan ZHONG
  • Publication number: 20240012965
    Abstract: A steady flow prediction method in a plane cascade based on a generative adversarial network is provided. Firstly, CFD simulation experimental data in the plane cascade are preprocessed, and a test dataset and a training dataset are divided from the simulation experimental data. Then, an Encoding-Forecasting network module, a deep convolutional network module and a generative adversarial network prediction model are constructed successively. Finally, prediction is conducted on test set data: the test set data is preprocessed in the same manner, and data dimensions are adjusted according to input requirements of a saved optimal prediction model; and flow field images in the plane cascade at an inlet attack angle of 10° are obtained through the prediction model. The present invention can effectively avoid the problem of limited measurement range of sensors in an axial flow compressor, and the prediction result is highly consistent with the calculation result of CFD.
    Type: Application
    Filed: December 27, 2021
    Publication date: January 11, 2024
    Inventors: Bin YANG, Xinyuan ZHANG, Ximing SUN, Fuxiang QUAN
  • Publication number: 20230392556
    Abstract: An aero-engine surge active control system based on fuzzy controller switching is provided. The present invention selects a basic controller with the most appropriate current state for switching control according to the operating state of a compressor based on the principle of fuzzy switching, and can realize large-range, adaptive and performance-optimized surge active control. Controllers designed by the present invention realize large-range surge active control through fuzzy switching, so that the effective operating ranges of the controllers are expanded and the reliability of the controllers is improved. The designed controllers can be applied to the active control of surge caused by various causes, so that the adaptability of the controllers is improved and is closer to the actual operating condition of the engine. Some optimization indexes are added in the design process of the controllers, which can realize optimal control under corresponding optimization objectives.
    Type: Application
    Filed: June 4, 2021
    Publication date: December 7, 2023
    Inventors: Ximing SUN, Fuxiang QUAN, Chongyi SUN, Yanhua MA
  • Patent number: 11823057
    Abstract: An intelligent control method for a dynamic neural network-based variable cycle engine is provided. By adding a grey relation analysis method-based structure adjustment algorithm to the neural network training algorithm, the neural network structure is adjusted, a dynamic neural network controller is constructed, and thus the intelligent control of the variable cycle engine is realized. A dynamic neural network is trained through the grey relation analysis method-based network structure adjustment algorithm designed by the present invention, and an intelligent controller of the dynamic neural network-based variable cycle engine is constructed. Thus, the problem of coupling between nonlinear multiple variables caused by the increase of control variables of the variable cycle engine and the problem that the traditional control method relies too much on model accuracy are effectively solved.
    Type: Grant
    Filed: February 28, 2020
    Date of Patent: November 21, 2023
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Yanhua Ma, Xian Du, Ximing Sun, Weiguo Xia
  • Patent number: 11802895
    Abstract: The present invention belongs to the technical field of aviation electrics and electric power, and provides an aircraft grid phase angle tracker based on nonlinear active disturbance rejection, which is used to estimate the grid phase angle on AC side of an aircraft grid. A embedded generator in the aircraft grid is arranged inside a compressor of an aviation gas turbine engine, and the embedded generator is directly coupled with the aviation gas turbine engine so that the AC frequency of the embedded generator varies with the speed of the aviation gas turbine engine. The present invention applies the nonlinear active disturbance rejection technology to the phase angle tracking of the more electric aircraft grid, is simple in operation and high in accuracy, and can realize high-accuracy tracking of the grid phase angle. The method has certain extensibility and can be extended to other fields.
    Type: Grant
    Filed: February 22, 2021
    Date of Patent: October 31, 2023
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Ximing Sun, Ping Lin
  • Patent number: 11788473
    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: Grant
    Filed: March 19, 2020
    Date of Patent: October 17, 2023
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Yanhua Ma, Nan Ding, Ximing Sun, Xudong Zhao
  • Publication number: 20230316051
    Abstract: A pre-alarming method for rotary stall of compressors based on a temporal dilated convolutional neural network includes firstly, preprocessing dynamic pressure data of an aero-engine, and dividing a test dataset and a training dataset from experimental data; secondly, constructing a temporal convolutional network module, a Resnet-v network module and a temporal dilated convolutional network prediction model in sequence, and saving an optimal prediction model.
    Type: Application
    Filed: September 18, 2021
    Publication date: October 5, 2023
    Inventors: Ximing SUN, Yuhui LI, Fuxiang QUAN
  • Publication number: 20230246578
    Abstract: A finite time speed control method for a permanent magnet synchronous motor (PMSM) based on a fast integral terminal sliding mode and disturbance estimation comprises: firstly, determining a mathematical model of a speed loop of the PMSM under the influence of system parameters uncertainty and unknown load torque; secondly, designing an improved fast integral terminal sliding surface on the basis of the idea of terminal sliding mode control; then, proposing a disturbance estimation method based on an adaptive fuzzy system with respect to the disturbance in a PMSM system; designing a PMSM speed controller on this basis; and finally, completing the concrete implementation of the whole technical solution. The present invention designs the fast integral terminal sliding surface and a sliding mode control law to ensure that a motor speed tracking error converges to zero within finite time and enhances the rapidity of a PMSM speed regulating system.
    Type: Application
    Filed: May 6, 2021
    Publication date: August 3, 2023
    Inventors: Ximing SUN, Jianyi ZHANG
  • Patent number: 11695358
    Abstract: A speed control method for a permanent magnet synchronous motor considering current saturation and disturbance suppression 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: Grant
    Filed: October 27, 2020
    Date of Patent: July 4, 2023
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Ximing Sun, Jianyi Zhang
  • Patent number: 11657150
    Abstract: A two-dimensionality detection method for industrial control system attacks: collecting data; transmitting the data to a PLC and an embedded attack detection system; uploading, by the PLC, received data to an SCADA system; transmitting, by the SCADA system, the data to the embedded attack detection system after classifying and counting the data; before starting detection, directly reading, by the embedded attack detection system, the data measured by sensors; refining data association relationships and probability distribution characteristics of the sensors of normal operation to complete storage of health data model; after starting detection, in first dimensionality, comparing the data collected directly by the sensors with statistical data of the SCADA system to judge the attacked condition of the SCADA system, and in second dimensionality, comparing the characteristics of the data collected directly by the sensors and counted online with the health data model to judge the attacked condition of the sensors.
    Type: Grant
    Filed: August 12, 2022
    Date of Patent: May 23, 2023
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Tianju Sui, Qingfeng Liu, Ximing Sun
  • Patent number: 11635734
    Abstract: The present invention provides an interval error observer-based aircraft engine active fault tolerant control method, and belongs to the technical field of aircraft control. The method comprises: tracking the state and the output of a reference model of an aircraft engine through an error feedback controller; compensating a control system of the aircraft engine having a disturbance signal and actuator and sensor faults through a virtual sensor and a virtual actuator; observing an error between a system with fault of the aircraft engine and the reference model through an interval error observer, and feeding back the error to the error feedback controller; and finally, using a difference between the output of the reference model of the system with fault and the output of the virtual actuator as a control signal to realize active fault tolerant control of the aircraft engine.
    Type: Grant
    Filed: January 10, 2019
    Date of Patent: April 25, 2023
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Yanhua Ma, Xian Du, Ye Wang, Rui Wang, Ximing Sun
  • Publication number: 20230076346
    Abstract: A two-dimensionality detection method for industrial control system attacks: collecting data; transmitting the data to a PLC and an embedded attack detection system; uploading, by the PLC, received data to an SCADA system; transmitting, by the SCADA system, the data to the embedded attack detection system after classifying and counting the data; before starting detection, directly reading, by the embedded attack detection system, the data measured by sensors; refining data association relationships and probability distribution characteristics of the sensors of normal operation to complete storage of health data model; after starting detection, in first dimensionality, comparing the data collected directly by the sensors with statistical data of the SCADA system to judge the attacked condition of the SCADA system, and in second dimensionality, comparing the characteristics of the data collected directly by the sensors and counted online with the health data model to judge the attacked condition of the sensors.
    Type: Application
    Filed: August 12, 2022
    Publication date: March 9, 2023
    Inventors: Tianju SUI, Qingfeng LIU, Ximing SUN
  • Patent number: 11594991
    Abstract: A robust position control method for a permanent magnet synchronous motor considering current limitation is provided. The method fully considers the influence of current limitation on a closed loop system in controller design, stability analysis and other theoretical analysis phase, can effectively overcome the influence of system disturbances including system parameters uncertainty and unknown load torque, and finally realize a control objective of accurate tracking of the motor position. More importantly, the technology is a continuous control method which can overcome the inherent chattering problem while having strong robustness of sliding mode control. Meanwhile, a controller designed by the present invention also has the advantages of simple structure, etc. The technical solution proposed by the present invention has wide practical application prospect due to the characteristics of excellent anti-disturbance capability, and simple and feasible structure.
    Type: Grant
    Filed: January 7, 2021
    Date of Patent: February 28, 2023
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Ximing Sun, Jianyi Zhang
  • Publication number: 20230048547
    Abstract: A robust position control method for a permanent magnet synchronous motor considering current limitation is provided. The method fully considers the influence of current limitation on a closed loop system in controller design, stability analysis and other theoretical analysis phase, can effectively overcome the influence of system disturbances including system parameters uncertainty and unknown load torque, and finally realize a control objective of accurate tracking of the motor position. More importantly, the technology is a continuous control method which can overcome the inherent chattering problem while having strong robustness of sliding mode control. Meanwhile, a controller designed by the present invention also has the advantages of simple structure, etc. The technical solution proposed by the present invention has wide practical application prospect due to the characteristics of excellent anti-disturbance capability, and simple and feasible structure.
    Type: Application
    Filed: January 7, 2021
    Publication date: February 16, 2023
    Inventors: Ximing SUN, Jianyi ZHANG
  • Publication number: 20230003778
    Abstract: The present invention belongs to the technical field of aviation electrics and electric power, and provides an aircraft grid phase angle tracker based on nonlinear active disturbance rejection, which is used to estimate the grid phase angle on AC side of an aircraft grid. A embedded generator in the aircraft grid is arranged inside a compressor of an aviation gas turbine engine, and the embedded generator is directly coupled with the aviation gas turbine engine so that the AC frequency of the embedded generator varies with the speed of the aviation gas turbine engine. The present invention applies the nonlinear active disturbance rejection technology to the phase angle tracking of the more electric aircraft grid, is simple in operation and high in accuracy, and can realize high-accuracy tracking of the grid phase angle. The method has certain extensibility and can be extended to other fields.
    Type: Application
    Filed: February 22, 2021
    Publication date: January 5, 2023
    Inventors: Ximing SUN, Ping LIN