Active control method for filtered reference affine projection sign algorithm based on variable step size

    公开(公告)号:US11657796B2

    公开(公告)日:2023-05-23

    申请号:US17564822

    申请日:2021-12-29

    IPC分类号: G10K11/178

    CPC分类号: G10K11/17815 G10K11/17819

    摘要: An active control method for filtered reference affine projection sign algorithm based on variable step size includes: S1, acquiring impulse noise signals and transmitting the signals to control filters; S2, transmitting the impulse noise signals by the control filters to post filters; S3, generating cancellation signals of the impulse noise signals by the post filters according to the impulse noise signals and internal active control algorithms, and transmitting the cancellation signals to a speaker; S4, sending out the cancellation signal by the speaker to superimpose with the impulse noise signals to cancel the impulse noise signal. A convex combination structure and a variable step size strategy are adopted, and by adjusting step size coefficients in the control filter structure, convergence speed of algorithm is controlled, contradiction between convergence speed and steady-state error is coordinated, convergence performance of control algorithm to impulse noises is improved, and impulse noises are effectively controlled.

    Free piston generator based on split thermodynamic cycle

    公开(公告)号:US11616420B2

    公开(公告)日:2023-03-28

    申请号:US17564624

    申请日:2021-12-29

    IPC分类号: H02K7/18

    摘要: Provided is a free piston generator based on a split thermodynamic cycle, which belongs to the technical field of power energy. The present disclosure solves the problem of low power generation efficiency of an existing free piston generator. The free piston generator includes a linear generator set and two internal combustion engine sets arranged at two ends of the linear generator set. Air is first subjected to first-stage compression by the low-pressure cylinder set in the internal combustion engine sets and is then subjected to second-stage compression in the high-pressure cylinders, so that the intake pressure of an internal combustion engine is effectively increased, which is favorable for increasing the average effective pressure in a work process, thereby improving the thermal efficiency and the power generation efficiency of the free piston generator. A combusted working medium is first subjected to first-stage expansion in the high-pressure cylinders and is then subjected to second-stage expansion in the low-pressure cylinders, which effectively increases the utilization rate of energy in exhaust gas, increases the expansion work, and further improves the thermal efficiency and the power generation efficiency of the free piston generator.

    DYNAMIC CHARACTERISTIC ANALYSIS METHOD OF DET AND RELAP5 COUPLING BASED ON UNIVERSAL INSTRUMENTAL VARIABLE METHOD

    公开(公告)号:US20220375640A1

    公开(公告)日:2022-11-24

    申请号:US17861465

    申请日:2022-07-11

    摘要: A dynamic characteristic analysis method of DET and RELAP5 coupling based on a universal instrumental variable method includes steps of: constructing a DET simulation model of a discrete dynamic event tree and modifying TRIP cards of an input file by adding universal instrumental TRIP variables according to state transition types of DET simulation objects, the universal instrumental TRIP variable being variable type or logical type; setting a simulation time of the RELAP5, controlling a simulation step, and analyzing an output result file of each simulation step of the RELAP5; backtracking the RELAP5 according to state transition types of DET simulation objects. The dynamic characteristic analysis method has advantages of simplifying TRIP setting process and method of DET state transition objects in an input file of the RELAP5 required for the coupling of DET and RELAP5, reducing a modeling complexity and improving a modeling efficiency.

    Marine Transportation Platform Guarantee-Oriented Analysis and Prediction Method for Three-Dimensional Temperature and Salinity Field

    公开(公告)号:US20220326211A1

    公开(公告)日:2022-10-13

    申请号:US17847496

    申请日:2022-06-23

    IPC分类号: G01N33/18 G01C13/00

    摘要: The disclosure provides a marine transportation platforms guarantee-oriented analysis and prediction method for a three-dimensional temperature and salinity field, including: based on multi-source marine environmental data, analyzing the spatiotemporal distribution characteristics of marine dynamic environmental elements, and studying the characteristics of the temperature-salinity relation; on the basis of analysis of the spatiotemporal characteristics and study of the characteristics of the temperature-salinity relation, establishing a statistical prediction model of marine environmental dynamic elements by a spatiotemporal empirical orthogonal function method; based on the observation data of temperature and salinity obtained by the marine transportation platform, correcting a marine environment forecast field around the marine transportation platform by using a realtime analysis technology of a marine environment field; and adjusting the salinity using a temperature-salinity relation curve after the temperature and salinity are forecasted, so as to keep the temperature-salinity relation as close as possible to its climatic characteristics. The disclosure makes up for the shortcomings of the traditional numerical prediction method that the period of prediction validity of marine dynamic environmental elements is short due to meteorologically driven timeliness restrictions, and the prediction process of the disclosure does not require a high-performance computing platform and occupies less computing resource.

    ONLINE MONITORING METHOD OF NUCLEAR POWER PLANT SYSTEM BASED ON ISOLATION FOREST METHOD AND SLIDING WINDOW METHOD

    公开(公告)号:US20220291654A1

    公开(公告)日:2022-09-15

    申请号:US17691191

    申请日:2022-03-10

    IPC分类号: G05B19/05

    摘要: The present disclosure relates to an online monitoring method of a nuclear power plant system based on an isolation forest method and a sliding window method. An isolation forest method used in the present disclosure is an abnormal detection model based on the idea of binary tree division, and has no requirements on the dimension and linear characteristics of monitoring data. In view of the characteristics of strong nonlinearity and high dimension of operation data of the nuclear power plant system, in the process of state monitoring, system abnormalities can be detected more quickly and accurately. In the present disclosure, a sliding window method is used to improve an isolation forest model, so that the improved isolation forest model has the functions of model online updating and real-time state monitoring, and the usability of an isolation forest state monitoring method is enhanced.

    Engine simulation test device capable of realizing ultrahigh compression temperature and pressure

    公开(公告)号:US20220120636A1

    公开(公告)日:2022-04-21

    申请号:US17564558

    申请日:2021-12-29

    IPC分类号: G01M15/05 G01M15/08

    摘要: The disclosure is an engine simulation test device capable of realizing an ultrahigh compression temperature and pressure, belonging to the field of a diesel engine high-temperature and high-pressure system, solving the problems that the existing engine simulation test cannot achieve ultra-high compression temperature and pressure, and the temperature and pressure are not adjustable. It includes a compressed air inlet mechanism, a nitrogen gas inlet mechanism, a pressure stabilizing mechanism, a cyclic heating mechanism, an air inlet mechanism and a fast compressor mechanism. The compressed air inlet mechanism and the nitrogen gas inlet mechanism are both connected with a gas inlet end of a pressure stabilizing tank in the pressure stabilizing mechanism, the compressed air inlet mechanism and the nitrogen gas inlet mechanism respectively introduce air and nitrogen gas into the pressure stabilizing tank, the pressure stabilizing tank is connected with the cyclic heating mechanism, the cyclic heating mechanism heats gas in the pressure stabilizing tank, a gas outlet end of the pressure stabilizing tank is connected with the fast compressor mechanism, and the air inlet mechanism is connected between the pressure stabilizing tank and the fast compressor mechanism. The device is mainly used for an engine simulation test.

    Integrity monitoring method of ionosphere gradient based on kinematical to kinematical platform

    公开(公告)号:US20210293968A1

    公开(公告)日:2021-09-23

    申请号:US17013743

    申请日:2020-09-07

    IPC分类号: G01S19/08 G01S19/07 G01S19/43

    摘要: The present disclosure provides an integrity monitoring method of ionosphere gradient based on kinematical to kinematical platform, comprising step 1, constructing geometry-free and ionospheric amplification type detection statistics, based on original triple-frequency carrier phase observations, step 2, adjusting a detection threshold based on a required monitoring false alarm rate, and determining whether the detection statistics are less than the adjusted detection threshold, step 3, comparing a calculated miss-detection rate and a required miss-detection rate, and determining whether the calculated miss-detection rate are less than the required miss-detection rate, and step 4, if the detection statistics are less than the adjusted detection threshold and the calculated miss-detection rate are less than the required miss-detection rate, considering the ionosphere gradient is normal.

    Elman neural network assisting tight-integrated navigation method without GNSS signals

    公开(公告)号:US20210095965A1

    公开(公告)日:2021-04-01

    申请号:US17013750

    申请日:2020-09-07

    摘要: The disclosure relates to a tight-integrated navigation method assisted by Elman neural network when GNSS signals are blocked based on the tight-integrated navigation system model of the INS and GNSS. The dynamic Elman neural network prediction model is used to train the inertial navigation error model and the GNSS compensation model, so as to solve the problem of tight-integrated navigation when the GNSS signals are blocked. When the GNSS signals are blocked, the trained neural network is used to predict the output error of GNSS and compensate the output of inertial navigation, so that the error will not diverge sharply, and the system can continue to work in the integrated navigation mode. The low-cost tight-integrated navigation module is used, and the collected information is preprocessed to form the sample data for training the neural network to train the Elman neural network model.

    METHOD FOR INITIAL ALIGNMENT OF RADAR ASSISTED AIRBORNE STRAPDOWN INERTIAL NAVIGATION SYSTEM

    公开(公告)号:US20210080287A1

    公开(公告)日:2021-03-18

    申请号:US16922241

    申请日:2020-07-07

    IPC分类号: G01C25/00 G01C21/16

    摘要: The invention provides a method for initial alignment of radar assisted airborne strapdown inertial navigation system. By calculating the slant distance and angular position between the radar and the airborne inertial navigation equipment, a nonlinear measurement equation for the initial alignment of the radar assisted inertial navigation system is obtained. The unscented Kalman filter algorithm is used to estimate and compensate the error amount of strapdown inertial navigation system to complete the initial alignment task. The significance of the present invention is to provide an in-flight initial alignment solution when the global positioning system is limited, which has fast convergence speed and high estimation accuracy and has high engineering application value.