43 results about "Displacement model" patented technology

The invention discloses a blade vibration blade tip timing online monitoring method and device during inconstant rotation speed, wherein the method comprises the following steps: 1) obtaining a bladetip timing signal sequence and a rotation speed signal sequence during blade vibration; 2) constructing a blade tip timing angular domain uniformly sampled blade vibration displacement model; 3) establishing a reconstruction formula for the blade vibration blade tip timing angular domain undersampled reconstruction signal; 4) calculating the order spectrum of the blade vibration blade tip timing angular domain undersampled reconstruction signal and extracting synchronous vibration order; 5) calculating the spectrum waterfall plot of the blade vibration blade tip timing angular domain undersampled reconstruction signal to extract the asynchronous vibration frequency. The method can reconstruct the blade tip timing vibration signal with inconstant rotation speed, and the reconstructed signalhas no order aliasing. The method can simultaneously recognize the synchronous and asynchronous vibration characteristics of the blades, and the calculation process is simple and easy to implement. The high-order vibrations can be identified with very few blade tip timing sensors so as to save installation costs and space.

The invention discloses a method, device and system for actively controlling vibration of a linear motor and electronic equipment. The method comprises the following steps of acquiring an input signal for driving the linear motor; capturing the input signal within a set time as a signal to be analyzed; analyzing frequency points to be processed of the signal to be analyzed within a set frequency range and a voltage corresponding to each frequency point to be processed; obtaining an amplitude under a reference voltage corresponding to each frequency point to be processed according to a displacement model of a corresponding relation between the known reflection frequency and the amplitude under the reference voltage; calculating to obtain that the sum of the amplitude corresponding to each frequency point to be processed does not exceed a voltage amplification factor of maximum safety amplitude according to the maximum safety amplitude of the linear motor, the voltage corresponding to each frequency point to be processed and the amplitude under the reference voltage; sending an adjustment instruction comprising the voltage amplification factor to an amplifier for gain adjustment. Therefore, the highest vibration strength can be output possibly on the premise that the motor safety can be ensured.

The invention relates to a centrifugal model retaining wall test device, belonging to the research technical filed of soil pressure centrifugal model test. The device comprises a driving system, a model retaining wall structure, a measurement system and a displacement automatic control system of model retaining wall. The added displacement automatic control system of model retaining wall can guarantee the model retaining wall to be remained at rest during centrifugal acceleration is increased; by adopting an electric motor as the driving system, the displacement of the model retaining wall can be guaranteed to be slow, homogeneous and continuous, and a data acquisition system can be guaranteed to completely record a change process of soil pressure and soil body displacement field during the model retaining wall moves; and an improved structure of the model retaining wall leads the model retaining wall to keep translatory displacement model. The preliminary experimental result shows that the device has stable capability, reliable operation and convenient operation, and is suitable for the research of the rest condition of the rigid retaining wall and the soil pressure of a driving side.

The invention discloses an adaptive CPSO (Chaos Particle Swarm Optimization) integrated navigation satellite selection method, and the method comprises the following steps: 1, extracting visible satellites observed by a receiver at a current moment according to a navigation message and an observation file, numbering the visible satellites, grouping the satellites according to the number of selected satellites, and randomly selecting N combinations from all groups to form an initial population; 2, determining a fitness function for particle evaluation; 3, continuously updating the speed and position of particles through a speed-displacement model in a PSO (Particle Swarm optimization) algorithm till a visible satellite combination meeting a condition is searched. The method is advantageousin that 1, the integrated navigation satellite selection method based on the CPSO quickly achieves the BDS/GPS integrated navigation satellite selection, and the result meets the requirements of the receiver for the positioning precision; 2, the PSO algorithm is a potential neural network algorithm, needs fewer adjustment parameters, and is easy to implement. The PSO is applied in the satellite selection process of the receiver, thereby providing a new idea for the subsequent multi-constellation satellite selection research and application.

The invention belongs to the optimized control field and discloses a multi-strategy particle swarm optimization method and system for solving a permutation flowshop scheduling problem. The multi-strategy particle swarm optimization method comprises steps of constructing a diversified evaluation strategy, measuring population diversity of particle colonies according to an information entropy mode through subintervals divided by gravitational values, directing alternative execution of local exploration and global searching during an optimizing process, during global optimal particle selection which borrows an ant-city selection strategy in a particle speed-displacement model, calculating a probability of each particle choosing another particle as a global optimal particle, determining a global optimal particle which is following during a particle moving process according to the probability, designing a set variation, and guiding the particle swarm to jump out of a local optimal solution area to perform particle swarm global searching. The set variation operation of the multi-strategy particle swarm optimization method can better help the particle to escape which falls into the local optimal region, prevents a premature convergent phenomenon, can perform continuous optimizing in a global range and can obtain a better result.

The invention discloses a parameter identification device and method for a nonlinearity hysteresis model of a giant magnetostrictive actuator. The method comprises the following steps: respectively converting a 4-20mA current signal output by a displacement sensor and a current signal output by a power supply into 0-3.3V voltage signals through a current/voltage module; synchronously transmitting the two voltage signals output by the current/voltage module through a signal line to a DSP processor through an ADC module; performing parameter identification on the hysteresis model by the DSP processor by means of a particle swarm and manual fish school mixed identification algorithm according to the tested signals, and correcting the parameters of the model while continuously acquiring measurement data; and repeating the process till the identified parameters meet the demand. By synchronously collecting the input current valve and the output displacement value of the giant magnetostrictive actuator by means of the ADC module and identifying the parameters of the hysteresis model based on the DSP processor and the particle swarm and manual fish school mixed identification algorithm, the precision of outputting the displacement model is increased, and error compensation control is facilitated.

A method for developing a hydrocarbon reservoir by injecting a gas in the form of foam, comprising a step of determining a foam displacement model, which is a function of an optimal gas mobility reduction factor and of at least one water saturation-dependent interpolation function. The optimal gas mobility reduction factor is determined and constants of the water saturation-related interpolation function are calibrated from a plurality of apparent viscosity measurements for various foam quality values, and by use of a lamella model allowing which relates the lamella density as a function of the water saturation. The invention has an application to petroleum exploration and development.

The invention discloses an electrical impedance tomography method based on a gridding displacement model, which overcomes the shortcoming that after a to-be-detected body deforms, the electrical impedance tomography quality for the to-be-detected body is poor in the prior art. The electrical impedance tomography method based on the gridding displacement model includes following steps: (1) obtaining the limit-element gridding displacement model via the to-be-detected body, acquiring data of the to-be-detected body, and calculating differential voltage signals according to the acquired data; (2) calculating a conductivity change approximate value of the to-be-detected body; and (3) displaying the calculated value in the limit-element gridding displacement model. A displayed image is a real-time differential image of the to-be-detected body. The electrical impedance tomography method utilizes the limit-element gridding displacement model to correct structural deformation of total regions of the to-be-detected body. Compared with the prior art, the electrical impedance tomography method has the advantage that the tomography quality is obviously improved.

The invention provides a structural surface control slope stability evaluation method based on excavation deformation. The method comprises the steps that a to-be-evaluated structural surface controlslope is subjected to landslide inspection; a potential slip mass of the to-be-evaluated slope is subjected to stress analysis; a potential slip mass sliding displacement model of the to-be-evaluatedstructural surface control slope is constructed, and a potential slip mass displacement process curve is obtained through calculation. The real-time stability state of the structural surface control slope can be subjected to dynamic judgement by means of the method in cooperation with on-site deformation monitoring data. The convergence of the displacement can be calculated according to the slip mass, and the long-term stability of the structural surface control rock slope can be forecast to a certain degree.

The invention discloses a video and audio coding hard decision quantification method based on a context adaptive displacement model, and the method employs the context adaptive quantification displacement model to achieve a context and code rate threshold value adaption quantification algorithm. The model introduces the correlation between coefficients through simulating optimal soft decision quantification characteristics, and a new CABAC context adaptive displacement model is proposed on the basis of the hard decision quantification. The model achieves the statistics of actual saving conditions of the code rate, and obtains an optimal threshold value which can be used for distinguishing quantification results through a Bayes binary discrimination method. The dynamic adjustment of the threshold value and the code rate displacement quantity are achieved through the model. The experiment indicates that the context adaptive displacement model based on the invention is suitable for implementation of the configuration design of a hardware coder, and the performances of the algorithm approach the optimal SDQ quantification. Moreover, compared with a fixed displacement quantity HDQ quantification method, the method obtains the better improvement of the rate distortion.

The invention provides a predictive control method and a predictive control device for a piezoelectric ceramic actuator based on a fuzzy TS (Takagi-Sugeno) model. The method comprises the steps of acquiring a voltage displacement modeling data set of the piezoelectric ceramic actuator; performing fuzzy clustering on a voltage displacement sample data set according to the fuzzy TS model, acquiring a plurality of linear sub rules, and acquiring parameters of each linear sub rule according to a least square identification method; determining a sub predictive control law corresponding to each linear sub rule under a performance index optimum condition; acquiring a voltage displacement predictive data set of the piezoelectric ceramic actuator in a sampling period; and performing weighted average on the sub predictive control laws, acquiring a final predictive control law and using the final predictive control law as a control output function. The predictive control method provided by the invention can realize real-time and accurate control for the piezoelectric ceramic actuator.

The invention discloses a sealing device and method for a microcosmic displacement model injection and production opening. The sealing device comprises a main shaft, wherein a liquid channel is formed inside the main shaft and connected with a fluid injection pipeline, the first end of the main shaft is a cylinder with a small diameter and in threaded connection with a sealing head which can generate radial deformation when bearing axial pressure, the second end of the main shaft is a cylinder with a large diameter, a platform shoulder portion is formed on the main shaft, an outer barrel is arranged outside the cylinder, with the small diameter, of the main shaft, the first end of the outer barrel abuts against the sealing head, a certain distance exists between the second end of the outer barrel and the platform shoulder portion of the main shaft, a sleeve type end cap is arranged outside the second end of the outer barrel and the second end of the main shaft in a sleeving mode, an annular closed space is formed among the inner wall of the sleeve type end cap, the second end of the outer barrel and the platform shoulder portion, and through holes are formed in the side wall of the sleeve type end cap and connected with a micro hydraulic pump through a pipeline. The sealing strength of the sealing device can be manually adjusted, the sealing device is reliable in sealing performance and high in anti-corrosion capacity and abrasion resistance, and sealing parts do not need to be regularly replaced.

A sensor for detecting the position and speed of a part mobile along at least one measurement direction includes an estimator (38) adapted to provide estimation of position and speed based on a displacement model of the target during a period of observation T_obs, the model relating the position of the target at a time t included in the period of observation T_obs, at least to the position and the speed to be estimated.

The invention discloses a method for establishing a time-varying sea tide load displacement model based on a GNSS technology, and the method comprises the following steps: S1, carrying out the hour solution calculation of GNSS data, not carrying out the sea tide load correction in the calculation process, and obtaining a dynamic GNSS coordinate time sequence; s2, estimating a static sea tide load displacement parameter by using a harmonic analysis algorithm of band-pass filtering; s3, based on the static sea tide load displacement parameters, establishing a static sea tide load displacement model by using a least square configuration method; s4, calculating a seasonal change sequence of sea tide load displacement parameters by using a sliding harmonic analysis method; s5, researching time-varying characteristics and laws of the sea tide load displacement parameter time-varying sequence by using a singular spectrum analysis method, and modeling the time-varying laws; and S6, establishing a time-varying sea tide load displacement model. The method has the advantages that the sea tide model established by the method considers the sea tide load time-varying characteristic, the physical mechanism of the sea tide signal is better met, and the precision is higher.

The present invention discloses a particle swarm algorithm based optimization method for microbial fermentation. The method comprises the following steps of: establishing a microbial fermentation data set; randomly dividing the microbial fermentation data set into two parts: a training data set and a test data set; building up a BP neural network; training the BP neural network; executing a binary encoding of a control parameter of the microbial fermentation to obtain an initial particle swarm; calculating a fitness value of each particle by using the BP neural network as a fitness function; executing a self-extremum operator of a particle; executing a global extremum operator of the particle; executing a speed-displacement model operating operator; and calculating the fitness value of a new-generation particle after changing location by using the BP neural network as the fitness function, to obtain an optimal control parameter combination. The method disclosed by the invention can obtain the optimal control parameter combination according to the existing fermentation data without redesigning an experiment.

The invention relates to a method of calculating a displacement of an object of interest comprising a step of calculating (101) a displacement model of said object of interest from adjacent images of a set of pre-acquired images of said object of interest, said displacement model reflects the position of said object of interest along the time. The method is characterized in that the method further comprises the following. A step of determining (102) a first sub-set of images (S1) from said set of pre acquired images within one periodical time cycle of said set of pre-acquired images on the basis of the displacement model. A first step of identifying (103) a second sub-set of images (S2) from newly-acquired images, wherein images in said second sub-set of images (S2) are consecutive and have the same most similar image in said first sub-set of images (S1), wherein a first set of similarity levels is determined by comparing a given image in said newly acquired images with each image of said first sub-set of images (S1), and wherein said most similar image has the largest similarity level in said first set of similarity levels. A first step of selecting (104) a given image in said second sub-set of images (S2) as a first reference image (I1). A second step of identifying (105) a third sub-set of images (S3) from said newly-acquired images, wherein images in said third sub-set of images (S3) are consecutive and have the same most similar image in said first sub-set of images (S1), wherein a set of similarity levels is determined by comparing a given image in said newly acquired images with each image of said first sub-set of images (S1), and wherein said most similar image has the largest similarity level in said set of similarity levels. A second step of selecting (106) a given image in said third sub-set of images (S3) as a second reference image (I2). A step of calculating (107) the displacement between said second reference image (I2) and said first reference image (I1). The invention also relates to a corresponding system of displacement calculation.

The invention provides a seal dynamic property coefficient acquisition method based on a least square method. The seal dynamic property coefficient acquisition method comprises the following steps: setting that force and displacement of a rotor is in a linear relation, ignoring influence of vortex motion higher derivative, and obtaining displacement model of the force through rigidity of the rotorseal dynamic property coefficient and a damping matrix; taking a rotor seal center O as an origin of a coordinate system for which x is taken as a horizonal axis and y is taken as a vertical axis tobuild a coordinate system; setting that the rotor performs vortex motion along an elliptical orbit at an eccentric position of a moment t, taking the eccentric position as a vortex motion center, andobtaining a parameter equation of the elliptical vortex motion orbit; obtaining a residual value of a direction x and a direction y according to the parameter equation, the displacement model and theleast square method; determining total residual square and function expression of S according to the residual value of the two directions; solving partial derivatives for eight seal dynamic property coefficients through the function expression of S, obtaining an equation set for solving partial derivatives for eight seal dynamic property coefficients, and solving the equation set to obtain the eight seal dynamic property coefficients.