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48 results about "Inverse transfer function" patented technology

An inverse response occurs when the transfer function has a positive zero i.e., in the right half plane.

Computation method for strata displacement caused by shield construction of tunnel

The invention discloses a computation method for strata displacement caused by the shield construction of a tunnel. The computation method comprises the following steps of measurement on the strata displacement in the initial stage of the construction; fitting of a strata loss inverse transfer function; and correction of an empirical formula. According to the method, research means such as field measurement, statistical analysis technique and empirical formula method are combined for exploring the forecast of the strata displacement mode aiming at the influences of practical engineering soil conditions and specific tunnel construction parameters. The method hierarchically considers differences of geological conditions and strata losses during the construction period, and utilizes displacement data collected in the initial stage of the construction to back analyze the strata settlement trough curves of different depths, thus obtaining the curve parameter more accordant with the coil conditions. The method fully considers the differences of strata losses, corrects the empirical formula of the maximal displacements and settlement trough width coefficients in different soil layers and back computes related parameters, and at last acquires the whole settlement trough displacement curve computation formula based on an assumption that the settlement trough curve follows Gaussian distribution.
Owner:DALIAN JIAOTONG UNIVERSITY

Online acquisition method and device for load of bearing and bearing service life estimating method and device

InactiveCN107843428ADifficult to measure online loadWon't breakMachine bearings testingDynamic modelsEngineering
The invention provides an online acquisition method and device for load of a bearing and a bearing service life estimating method and device. The acquisition method includes establishing a many-body dynamics model of a bearing service system; acquiring a transmission function and an inverse transmission function based on the many-body dynamics model; collecting response signals generated by the bearing service system under excitation of the load of the bearing during the operation process of the bearing service system; acquiring the load of the bearing based on the transmission function, the inverse transmission function and the response signals by adopting a virtual iteration method. According to the invention, the transmission function and the inverse transmission function of the bearingservice system and the response signals of the bearing service system that are easily collected can be utilized for virtual iteration, so that bearing online load that are not easy to measure can beobtained. Since the many-body dynamics model is adopted for simulating the real bearing service system, the universality is high and the bearing service system is not damaged. Besides, hardware utilization is low, so that the cost is saved.
Owner:SCHAEFFLER TECH AG & CO KG

An inverter repetitive control design method based on a neural network

The invention discloses an inverter repetitive control design method based on a neural network. The method includes the following steps: 1, analyzing that traditional transfer function of the inverterby using the control theory, selecting an appropriate control algorithm for the bottom control of the inverter, identifying the theoretical model offline by use the neural network algorithm, and obtaining the initial parameters of the model by selecting the basic structure of the model; 2, taking the obtained initial identification model as a reference for on-line identification learning, and obtaining the actual identification model of the traditional control closed loop of the inverter; 3, constructing an inverse transfer function by utilizing that identification model information to replace the repeat control compensation link; 4, storing that parameters of the identify model in real time, and importing the latest data of the learning model of the system every time the identification model is put into the device. The method of the invention saves a large amount of tedious work of parameter design and selection, avoids the influence of parameter drift on repetitive control, improvesthe stability and robustness of repetitive control links, and can be popularized and used in inverters and related fields.
Owner:ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +1
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