55 results about "Static response" patented technology

Systems of the present disclosure provide a versatile, reusable mock server to respond to Application-Programming-Interface (API) requests. The mock server receives an API request and a cookie associated with the API request. The API server identifies response instructions found in the cookie. The response instructions may include a static response value, a name of an API server for the mock server to imitate, or code for the mock server to execute in the process of generating a mock API response. The mock server generates a mock API response based on the response instructions and sends the mock API response in reply to the API request.

The invention provides a micro miniature aircraft ground test attitude recorder. The recorder combines sensors such as an MENS gyroscope, an accelerometer and a digital compass, so that the original flight attitude data of an aircraft can be obtained; based on utilization of the mean filtering method for processing, the flight attitude data is partitioned and packaged as per a defined data format; the partitioned and packaged data is sent by a wireless sending module to a data combining unit of an upper computer for processing in the integer form and in a real-time manner; the fusion of flight attitude data is realized by utilizing an attitude resolving unit, so that the flight attitude can be updated quickly in a real-time manner. The attitude resolving unit mainly applies the quaternion complementary filtering method, and can efficiently integrate the dynamic property of the gyroscope and the static response property of the accelerometer so as to compensate the integral error of the gyroscope. According to the data obtained after attitude resolution, a visualization unit module drives an aircraft model based on OpenG1 graphic base development to realize visualized simulation of the flight attitude, and presents the angular position movement in a wavy curve by utilizing a waveform drawing module.

The invention discloses an unmanned aerial vehicle attitude fuzzy adaptive predication control method based on nonlinear model and a system thereof. A Cubic-RBF-ARX nonlinear model of the system is established by means of an offline data identification method. Then a fuzzy adaptive prediction controller is designed based on the established nonlinear model. The prediction controller performs online adjustment to the weight coefficient of a target function in the prediction controller according to the real-time state in controlling the attitude of the unmanned aerial vehicle. The fuzzy adaptive prediction controller can ensure a fact that the selected target function accords with a dynamic and stable rule and trend for attitude adjustment in the attitude control process of the unmanned aerial vehicle. Compared with a common unmanned aerial vehicle prediction controller, the whole dynamic and stable process for controlling is considered in setting the parameters of the target function, thereby performing a function of improving an unmanned aerial vehicle attitude control dynamic-and-static response index, and realizing relatively high practical value and good application prospect.

Methods and systems for bridge damage detection using, for example, one or more strain range methods are provided. One exemplary embodiment provides a computer-implemented methods and systems for determining bridge damage from strain sensor data, for example, by collecting a batch of strain data from one or more sensor pairs. From the batch of strain data one or more sets of strain data may be extracted comprising a quasi-static response of the bridge under ambient traffic loads. A relationship may be established between the one or more sets of strain data extracted from the one or more sensor pairs by orthogonal regression. Bridge damage may be detected by generally isolating a damage indicator between the one or more sensor pairs by monitoring changes in a statistical F_shm value over time.

The invention relates to a vehicle mass analysis system standard device for simulating exhaust emission. The standard device composes an operating console consisting of an upper computer and a singlechip, a gas source and a standard gas control unit, wherein standard gas output by the gas source enters the standard gas control unit; a mixed standard gas outlet of the standard gas control unit is connected with a gas inlet of a five-gas analyzer in a vehicle mass analysis system; a standard concentration diluting oxygen outlet of the standard gas control unit is connected with a diluting oxygen inlet of a flow analyzer in the vehicle mass analysis system; and the standard gas control unit is controlled by the operating console. According to the standard device, mixed standard gas and standard concentration diluting oxygen in an accurate proportion is used as reference gas; and meanwhile, a high-accuracy proportional pressure adjusting valve is arranged in the standard gas control unit, so that the flow requirement of the standard gas can be accurately controlled, and the static response characteristic of a zirconium oxide sensor can be accurately tested.

The invention relates to a device for detecting domain modulation of ferroelectric crystals in real time, and the device comprises a helium-neon laser, a filter, a collimating device, a first totally-reflection mirror, a second total-reflection mirror, a beam splitter prism, an imaging lens, a charge couple device (CCD) coupler and a computer. The device is contactless and free from damage and has high resolution ratio, not only can the dynamic variation of a domain structure be monitored in real time and quantitatively analyzed, but also the static response of the domain structure for an external electric field can be detected, and two-dimensional information and three-dimensional information of the reversal domain structure can be obtained.

The invention relates to a design method for improving anti-collapse ability of an RC frame core tube structure. The method comprises: (1) according to established conditions, carrying out conventional design on the RC frame core tube structure to obtain an initial model; (2) selecting a concrete frame or a shear wall key part to carry out failure processing, carrying out static response analysis on the overall structure to assess the collapse state of the overall structure by using finite element software LS-DYNA; (3) if the frame core tube structure does not collapse in step (2), applying dynamic loads continuously, and carrying out analysis on the overall collapse process to assess the collapse state of the overall process; (4) repeating step (2) and step (3) for the remaining key parts so as to obtain response of the frame core tube structure of each key part under the failure state; and (5) carrying out performance design on the RC frame core tube structure, so as to improve the anti-collapse ability of the RC frame core tube structure. According to the method disclosed by the invention, by analyzing of the overall collapse process, whether the RC frame core tube structure collapses or is damaged can be intuitively and clearly determined without using the collapse determination criterion, and the collapse mechanism can be understood and then anti-collapse design can be carried out.

The invention discloses a maximum torque estimation and acceleration slip regulation algorithm for a four-wheel independently driven electric vehicle, and belongs to the technical field of new energy vehicle control. The method includes the steps that (1) torque values Twf and Twr of a drive motor used for acceleration of front wheels and rear wheels are calculated and obtained according to the speed Vwf of the front wheels and the speed Vwr of the rear wheels; (2) according to output torques Tf and Tr of the drive motor of the front wheels and the rear wheels, corresponding ground drive force static response values Ff and Fr are calculated and obtained; (3) according to calculation results in the step (1) and the step (2), action force between the current front wheels, rear wheels and the ground can be estimated, as specified in the specification; (4) according to the calculation result in the step (3), the maximum torque output values Tmax,f and Tmax,r of the front wheels and the rear wheels are calculated. By means of the method, speed and acceleration speed sensors are not needed, system cost is lowered, system reliability is improved, quick and accurate response is achieved, it is guaranteed that the wheels do not slip, stability and safety of a vehicle in the running process are improved, and the method is easy to complement in engineering and can be widely applied to an acceleration slip regulation system of the four-wheel driven electric vehicle.

The invention discloses a test system and method for a speed regulator of a nuclear power station 6.6KV emergency diesel generator system. The system comprises a simulation controller, a PXI case and a signal converter. A test signal generated by the PXI case under the control of the simulation controller is subjected to digital-analog conversion and first matching processing conducted through the signal converter and then transmitted to the speed regulator, a response signal generated by the speed regulator is subjected to second matching processing through the signal converter to be transmitted to the PXI case, the PXI case conducts analog-digital conversion on the response signal and transmits the signal to the simulation controller, and the simulation controller conducts waveform comparison and analysis on the response signal to determine dynamic parameters and static parameters of the speed regulator to obtain a test result. By means of the test system and method, a plurality of simulation and/or simulative input signals can be provided for the speed regulator under the condition that the speed regulator is off-line and open-loop, and the dynamic and static response characteristics of the speed regulator are compared and analyzed by measuring the response signal of the speed regulator in real time to finish the timely accurate test of the speed regulator.

The invention belongs to the technical filed of structural safety detection, and discloses a method capable of eliminating vehicle dynamic effect for identifying an influence line of a bridge. The method comprises the following steps: (1) preprocessing bridge response data measured by a sensor by using empirical mode decomposition; and (2) identifying the preprocessed bridge response by a quasi-static method. Preprocessing of bridge response by the empirical mode decomposition can eliminate power superposition of the bridge response so as to obtain the quasi-static response of the bridge, which can be further used to identify the influence line. At the same time, the method does not need to know any bridge structural information in advance, can process the structural response data measuredby the sensor on various bridge types, and has a good engineering application prospect.

The invention relates to the field of structural model correction, and specifically to an improved truncation singular value method for overcoming the correction ill-condition of a structural model. Finite element modeling is carried out on the structure through finite element software; a static test or a dynamic test is carried out on the structure; a static response parameter or a dynamic response parameter is obtained; a structure model correction basic equation is obtained; singular value decomposition is performed on a corrected basic equation coefficient matrix, correction parameter vectors, when only previous t singular values are taken, and corresponding residual vectors are calculated through a truncation singular value formula, corresponding scatter diagrams are drawn, all points are connected through straight line segments to obtain a broken line diagram, and a final model correction parameter solution can be obtained through the formula calculation. After the scheme is adopted, the method is suitable for solving the problem of finite element model correction of a large-scale structure, so that a stable and accurate model correction parameter solution can be obtained under the condition that data has errors.

The invention provides a direct torque control method for a permanent magnet synchronous motor based on the torque ring active disturbance rejection control technology, and the method comprises the following steps: calculating a given torque Te* and a feedback torque Te; taking the difference between the given torque T<e><*> and the feedback torque T<e> as the input, taking an angle variation delta(theta<s>) of a stator flux linkage as the output, and setting an active disturbance rejection controller; calculating an output voltage vector through the angle variation of the stator flux linkage,and outputting a PWM control signal through a space vector modulation module. The method is advantageous in that the method avoids the impact from integral saturation, achieves the observation of theuncertainty and unmodeled dynamics of parameters through ESO, and achieves the compensation for the total disturbance quantity of the observation in NLSEF, so as to improve the robustness of a motorcontrol system, and improve the dynamic and static response performances.

It is believed that the folded-beam suspension responds as a linear spring. Though true for the static response, this is not true for dynamic responses. For shuttle displacements in the order of the width of the flexure beams, the response becomes strongly nonlinear. This nonlinearity is caused by axial stresses which are induced due mainly to the inertia of the flying bar. A solution for this problem is given by shortening the anchored beams of the suspension by a predetermined amount, such that the flexure beams between anchor and flying bar, and between flying bar and shuttle have different lengths. In this dynamically-balanced suspension, the ratio between the motions of the shuttle and of the flying-bar ensures that the effective shortening of all beams is the same. Therefore, no axial stresses are induced, and the motion ratio is constant and unaffected by motion amplitude, resulting in a linear dynamic spring response.

The invention relates to a hydraulic cylinder frictional compensation device and a control method, and belongs to the field of hydraulic control systems. The device comprises a motor, a pump, a filter, an electro-hydraulic servo valve, an amplifier, a controller, a position instruction device, a displacement sensor, a hydraulic cylinder, a load, an overflow valve and the like; a motor control pumpsupplies oil to the electro-hydraulic servo valve through the filter, one end of the filter passes through an overflow valve oil returning box, the other end of the filter supplies oil to the hydraulic cylinder through an oil inlet of the electro-hydraulic servo valve, a hydraulic cylinder piston rod is pushed to move, the position instruction device receives an instruction, signal current is input to the electro-hydraulic servo valve through the controller and the amplifier, the load aim is achieved, displacement of the piston rod is converted into current through the displacement sensor tobe compared with an input signal, and a hydraulic feedback system is formed. Through the control process, the system tracking precision is improved, and the higher system dynamic and static response performance can be achieved.

The invention discloses a bridge deformation multi-frequency dynamic analysis method based on a combined differential GNSS, and relates to the technical field of bridge deformation monitoring. A bridge GNSS monitoring signal is processed by using an orthogonal wavelet fast decomposition algorithm, an analysis signal is separated on different bands and multi-scale analysis is performed on a deformation signal; the instant displacement of the bridge under the effect of wind, vehicle passage or other earthquake disaster and external force is analyzed by using a high frequency signal, and the deformation trajectory of the dynamic deformation body of the bridge is analyzed by using a low frequency signal after noise reduction; and finally the bridge deformation trend is further analyzed by using the analysis result. Therefore, the characteristics of different frequencies in the GNSS monitoring signal are analyzed so that the static response and the dynamic response of the bridge can be effectively decomposed, the reason of bridge deformation caused by the three-dimensional displacement change of the bridge cannot be judged in the present bridge monitoring system can be solved, subsequent monitoring analysis can be effectively guaranteed and safety monitoring of the bridge can be greatly guaranteed.

An acceleration sensor comprises: an acceleration sensor core suitable for at least measuring static acceleration and which is a three-wire operation acceleration sensor core; a voltage stabilizing unit coupled to a power end and ground end of the acceleration sensor core and which provides stable voltage for the acceleration sensor core; a filter unit coupled to the power end, output end and ground end of the acceleration sensor core and which provides reduced high-frequency disturbance for the output of the acceleration sensor core; a conversion unit coupled to the power end and ground end of the acceleration sensor core and the filter unit and which is used for converting three-wire operation of the acceleration sensor core into two-wire operation. The acceleration sensor of the application can measure static acceleration and is compatible with IEPE (integrated electronic piezoelectric) interface, wiring is simplified, and the defect that an existing IEPE sensor has no static response can be made up.

The invention discloses a radial-basis-neural-network point allocation method of solving statics response of a composite material structure containing interval parameters. According to the method, firstly, a series of sample points are selected in a parameter interval domain of the composite material structure, and a finite-element method is used to solve structure statics response values of the sample points; the data are used as training samples of a radial-basis neural-network; the number of radial basis functions in a hidden layer of the neural network is selected according to the number of the sample points, then a K-means algorithm is used to obtain a center value of each radial basis function, and then a recursive least square method is used to obtain weight values between the hidden layer and an output layer of the neural network; the trained radial-basis neural-network is used as an approximate response function of an original structure response function; and then a genetic algorithm is utilized to solve maximum and minimum values of the radial-basis neural-network to use the same as an upper bound and a lower bound of the statics response of the composite material structure containing the interval parameters.

The invention discloses a modeling method for a reduced-order model of a large flexible structure based on dynamic response recognition, which comprises the following steps of: discretizing a nonlinear structure dynamic equation at equal time intervals to form a generalized coordinate discrete sequence, then carrying out discrete Fourier transform on the generalized coordinate discrete sequence to form a frequency domain transform sequence, and finally, carrying out dynamic response recognition on the frequency domain transform sequence; a part of items of a motion equation are exchanged in sequence to form a linear equation set, a mode of multiplying a modal combination by a proportionality coefficient is utilized to construct a test load, the test load is loaded on a structure to calculate dynamic response, dynamic response data are advanced, then a least square solution of the equation set is solved, a nonlinear rigidity coefficient can be given, and a nonlinear structure reduced-order model is established. Compared with a traditional large flexible structure reduced-order model based on statics response data recognition, the large flexible structure reduced-order model based on dynamic response recognition constructed by the method has the advantages that the nonlinear rigidity coefficient is recognized by utilizing a structural dynamic response data sample, and more accurate structural dynamic characteristic information can be provided.

The invention discloses a detection parameter generation method and device, electronic equipment and a computer readable storage medium. The method comprises the steps of obtaining static response data corresponding to multiple static uploading requests respectively; classifying the static response data according to data types to obtain a plurality of groups of to-be-processed data; performing parameter extraction based on the data type by utilizing each group of to-be-processed data to obtain a plurality of uploading success detection parameters; according to the method, classifying static response data according to data types to obtain a plurality of groups of to-be-processed data with different data types; in each group of to-be-processed data, performing parameter extraction according to the information representation mode of the data type to obtain the upload success detection parameter corresponding to the to-be-processed data, namely, the accurate upload success detection parameter is obtained, so that whether the dynamic script is successfully uploaded or not is accurately detected, and the user can accurately judge whether the user suffers from the network attack.