28 results about "Transfer function matrix" patented technology

The invention discloses a single-loop droop control method and system for a wind generating set, and the method comprises the following steps: constructing a doubly-fed fan-power converter-power grid three-module coupling model, and completing the dynamic adaptation of the characteristics of a doubly-fed fan of a single-loop droop control architecture without inner-loop current control; based on the input signal-model collaborative integration body and the adaptive architecture, MIMO-GBC is adopted to analyze a phase margin and a resonance peak value of an open-loop transfer function matrix eigenvalue of a dynamic small signal model, and double risks are identified in a full slip rate interval; aiming at the resonance risk, a current induction type virtual impedance strategy is adopted; aiming at insufficient phase margin, adopting a transient phase calibration strategy; and according to the real-time slip ratio of the DFIG and the stator power change, inter-partition linkage optimization is carried out on the virtual resistance and the phase calibration angle so as to minimize a dual-power step response fluctuation square mean value, a parameter setting period and a rotor side converter control period are synchronously matched, and all-working-condition stable control is realized.

The application discloses a method for analyzing the interaction of multiple grid-connected inverters based on matrix norm theory, and aims at the interaction between grid-connected inverters, takes a power distribution system containing two grid-connected inverters as an analysis object, establishes an equivalent grid-connected model containing two inverters based on the Norton theorem, derives a transfer function matrix of a control system, and quantitatively analyzes the relationship between the interaction between inverters and the system frequency, equivalent grid-connected inductance and controller combination mode based on the spectral norm and condition number of the transfer function matrix, so as to provide a reference for the coordinated control of the inverters. A simulation model is built in Matlab / Simulink for analysis. The application provides a simple and effective method for analyzing the interaction of inverters, and provides a theoretical method for the coordinated control of the inverters.

The invention discloses an RTP equipment temperature control method and device based on feedforward decoupling. A heating model is obtained based on input and output response data fitting of a heating area of RTP equipment; selecting an element with the maximum lag time in diagonal elements of the heating model as a reference basis, constructing a diagonal target transfer function matrix containing time delay characteristics, and ensuring that the lag time of each diagonal element is not less than the actual physical lag time of a corresponding channel; a feedforward decoupling controller model is solved based on the heating model, a direct control loop matrix and a feedback control loop matrix are obtained through calculation, the direct control loop matrix and the feedback control loop matrix are deployed in a temperature control system, and closed-loop temperature control is conducted on the multiple heating areas of the RTP equipment in combination with a PID controller. According to the method, the advantages of low complexity and quick response of the feedforward decoupling algorithm are combined, the physical realizability problem of the decoupler is solved by introducing the target transfer function matrix, and high-precision multi-region temperature synchronous control is realized.

The application provides a boiler-turbine coupling process modeling method based on an improved particle swarm optimization algorithm, and relates to the field of thermal power generation technology. The method first establishes a three-input three-output boiler-turbine coupling process transfer function matrix model; collects historical operation data of a thermal power generating unit and performs zero-mean preprocessing to construct a training data set and a test data set for verification; then uses the improved particle swarm optimization algorithm to identify the parameters to be identified in the boiler-turbine coupling process transfer function model; substitutes the identified parameters into the boiler-turbine coupling process transfer function matrix model to form a complete boiler-turbine coupling process transfer function matrix model, and uses the test set to verify the model precision. The boiler-turbine coupling process transfer function matrix model established based on actual operation data provides a reliable theoretical basis and technical support for the subsequent advanced control strategy design and optimized operation of ultra-supercritical units.

The invention relates to the technical field of power equipment state monitoring, and discloses a main transformer vibration characteristic intelligent analysis method and system, and the method comprises the steps: collecting vibration and current signals of a multi-load level in a health state, carrying out the decoupling of a vibration source, calculating a transfer function, and constructing a time-varying transfer function tensor representing the health state; during online monitoring, real-time signals are obtained, and a real-time transfer function matrix is calculated; interpolating the tensor according to a real-time load to obtain a health reference transfer function matrix matched with the current working condition; calculating a difference value between the real-time matrix and the health reference matrix, and obtaining a differential response field capable of stripping the influence of the working condition; and finally, on the basis of the differential response field, establishing and solving a physical inverse problem to realize reverse inversion and positioning of the abnormal state in the main transformer. According to the method, the interference of working condition change on vibration analysis is effectively solved, the decoupling of a fault source and the accurate positioning of internal abnormity are realized, and the accuracy and reliability of diagnosis are improved.

This invention proposes a secondary channel modeling method for a vibration active control system based on a top-mounted rotor hub. The method includes: activating the actuator of the vibration active control system when the rotor hub is not rotating, outputting actuating forces in both directions. These forces serve as load inputs to the test bench. The actuating forces are transmitted via a path that sequentially passes through the rotor hub actuator mounting location, the collector ring, the shaft, the spring, and the base, ultimately reaching the vibration sensor mounting location. The vibration sensor collects the vibration response at this location, identifying the secondary channel transfer function matrix in the fixed state. The secondary channel transfer function matrix is ​​then substituted into the output force transmission relationship formulas for the fixed and rotating states to obtain the initial value of the secondary channel model in the rotating state. Using this initial value, an adaptive algorithm is used as the physical model for online identification of the secondary channel, enabling online modeling of the system's secondary channels under rotor hub rotation conditions. This method allows for online iterative construction of time-varying secondary channel models, resulting in high modeling efficiency.

The application provides a decentralized compensation active disturbance rejection control method for an isobaric compressed air energy storage system, and is characterized by comprising the following steps: constructing an input-output relationship model based on a system transfer function matrix for a high-order multivariable isobaric compressed air energy storage system; determining a control structure based on different working stages; designing a compensation ADRC controller for a diagonal transfer function corresponding to each loop of the isobaric compressed air energy storage system; parameter tuning of the decentralized compensation ADRC controller is carried out based on a bandwidth parameterization method, gain parameters of an extended state observer and a state feedback control law in each loop are determined, and a designed decentralized compensation ADRC controller is obtained; and the designed decentralized compensation ADRC controller is applied to control of a compression stage and an expansion stage of the isobaric compressed air energy storage system. The application improves a traditional decentralized ADRC structure by introducing a high-order compensation link, and realizes effective control of a low-order controller on a high-order multivariable system.

The invention relates to the technical field of electrical engineering, and discloses a transient oscillation characteristic analysis method, system and device and a medium, and the method comprises the steps: obtaining the inertia characteristic of a receiving-end converter station, and building a small-signal control model of a DC power flow controller based on the inertia characteristic of the receiving-end converter station; performing first conversion operation on the small signal control model; solving the transfer function matrix, and obtaining the transient characteristics of the DC power flow controller according to the solving result; the method effectively solves the problem that transient oscillation analysis of the DC power flow controller is inaccurate due to the fact that inertia characteristics of a receiving end converter station are ignored in traditional analysis. Through accurate modeling and analysis, the influence of the parameters of the direct current power flow controller on transient oscillation under different system working conditions and parameters can be comprehensively evaluated, and powerful support is provided for stable operation of a power system.

The invention provides a networked control system tracking performance optimization method and system, and relates to communication signal tracking control, and the method comprises the steps: building a two-degree-of-freedom networked control system model; according to the two-degree-of-freedom networked control system model, obtaining an output signal and an error signal of the two-degree-of-freedom networked control system; according to the output signal, co-prime decomposition based on a rational transfer function matrix, a Bezout equation and a Youla parameterization form of a two-degree-of-freedom controller are calculated; the error signal is simplified; calculating an optimal performance expression of the two-degree-of-freedom networked control system model according to the simplified error signal; the optimal performance expression is simplified; calculating an optimal tracking performance expression of the two-degree-of-freedom networked control system model according to the simplified optimal performance expression; and optimizing the tracking performance of the networked control system according to the optimal tracking performance expression of the two-degree-of-freedom networked control system model.

The invention provides a transient oscillation characteristic analysis method and system for a single-loop PI control direct current power flow controller. The method comprises the following steps: constructing a transfer function matrix of a two-line common inductance type direct current power flow controller; dynamically dividing the direct current power flow controller into a full-control system and a semi-autonomous system based on the transfer function matrix; solving the maximum singular value of the semi-autonomous system by using the singular value decomposition technology, and researching the transient oscillation characteristic of the direct current power flow controller; the singular value decomposition result of the direct-current power flow controller semi-autonomous system is analyzed through frequency sweeping, the line resistance and the control reference value are comprehensively considered, and the influence rule of the key parameters of the direct-current power flow controller on the transient oscillation of the system is analyzed. According to the method, the active response characteristic of the direct current power flow controller to direct current micro-grid disturbance is fully utilized, reference is provided for transient oscillation suppression of the direct current micro-grid based on system dynamic, and direct current power flow control adapting to a direct current power grid complex scene can be achieved.

The invention discloses a multi-channel iteration method based on a multi-degree-of-freedom electro-hydraulic servo vibration test stand servo system decoupling method and a storage medium, and belongs to the technical field of electro-hydraulic servo control. In order to solve the problems of multi-degree-of-freedom coupling interference and insufficient waveform reproduction precision of a multi-channel electro-hydraulic servo vibration test stand, an H1 non-parameter identification method is adopted to carry out system identification to obtain a multi-channel transfer function matrix, and then a decoupling controller is designed based on the transfer function matrix to eliminate coupling interference among multiple channels. And finally, through correcting iteration dynamic optimization control input, the purposes of improving the control precision of the multi-degree-of-freedom electro-hydraulic servo vibration table and accurately simulating the structure reaction under the earthquake action are achieved. The test data is accurate and reliable. The invention is suitable for the civil engineering field, the traffic field, the mechanical field and the like.

The invention discloses a self-adaptive control method and system for a lithium battery pole piece roller press. The method comprises the steps that controlled variable real-time data and online quality index real-time data in the rolling production process are obtained; wherein the controlled variable comprises at least one of main cylinder pressure, bending cylinder pressure, roller temperature and rolling speed, and the online quality index comprises pole piece thickness or surface density; based on the historical data of the controlled variables and the online quality indexes, a transfer function matrix model is established, and the transfer function matrix model is used for describing the dynamic response relation of the controlled variables to the online quality indexes; based on the transfer function matrix model and the online quality index real-time data, calculating the real-time adjusting quantity of the controlled variable through a model prediction control algorithm; a control instruction is generated according to the real-time adjusting quantity, and the control instruction is used for controlling the lithium battery pole piece roller press to adjust the controlled variable according to the real-time adjusting quantity. According to the invention, the consistency of mass production of the lithium battery pole pieces can be ensured, and the product quality stability is obviously improved.

The invention relates to the technical field of power electronics, and particularly provides a harmonic prediction and suppression method for a droop control converter based on a multi-frequency estimator, and the method comprises the steps: obtaining a main circuit parameter, a control parameter and a steady-state working point parameter of the droop control converter; determining a main circuit matrix of a harmonic state space according to the main circuit parameters based on the steady-state working point parameters, and determining a harmonic state space control loop matrix according to the control parameters; splitting by columns according to a target parameter matrix of the main circuit matrix, and separating components related to the switching disturbance to obtain a plurality of parameter sub-matrixes corresponding to the switching disturbance; the control loop matrix is substituted into the parameter sub-matrix, a harmonic state space equation is obtained, a harmonic transfer function matrix is calculated, and the harmonic transfer function matrix is used for conducting harmonic prediction according to the main circuit parameters, the control parameters and the steady-state working point parameters. According to the invention, the harmonic prediction accuracy is effectively improved.

The invention provides a machine-furnace coupling process modeling method based on an improved particle swarm optimization algorithm, and relates to the technical field of thermal power generation. The method comprises the following steps: firstly, establishing a three-input three-output boiler-steam turbine coupling process transfer function matrix model; historical operation data of the thermal generator set are collected, zero-mean preprocessing is carried out, and a training data set and a test data set for verification are constructed; identifying parameters to be identified in the boiler-steam turbine coupling process transfer function model by adopting an improved particle swarm algorithm; and substituting the identified parameters into the boiler-steam turbine coupling process transfer function matrix model to form a complete turbine-steam turbine coupling process transfer function matrix model, and verifying the model precision by using a test set. According to the method, a boiler-steam turbine coupling process transfer function matrix model is established based on actual operation data, and reliable theoretical basis and technical support are provided for advanced control strategy design and optimized operation of a subsequent ultra-supercritical unit.

The invention discloses an ultra-supercritical unit flexible operation scheme based on improved error active disturbance rejection control and an improved northern eagle optimizer. Firstly, a coordinated control system of an ultra-supercritical unit is used as a research object, and modeling and control difficulties of the coordinated control system are analyzed; then, a multi-working-condition transfer function matrix model of the unit is identified based on an improved northern eagle optimizer; and then, an improved error active disturbance rejection control strategy is designed. And finally, verifying the feasibility of the flexible operation scheme based on a simulation platform, and carrying out quantitative statistic analysis on the effectiveness of the control strategy by adopting a performance index. According to the invention, the reduced-order extended state observer is applied to the error active disturbance rejection controller, the complexity of the controller structure is reduced, the rapid load control performance of the system is effectively improved, and the flexible operation capability of the unit under the wide load working condition is improved.

The application relates to the technical field of vehicles, in particular to a noise identification method and device of a vehicle, a vehicle and a storage medium, wherein the method comprises the following steps: acquiring a vibration acceleration signal and a vehicle interior noise signal when the vehicle drives on a preset impact road and performing time domain preprocessing; constructing a cross spectrum matrix based on the vibration acceleration signal after the time domain preprocessing and performing target principal component analysis to obtain a principal component signal of the cross spectrum matrix; then obtaining a transfer function matrix from each wheel center excitation point to an interior response point by using a hammering method test; calculating and identifying road impact loads at each wheel center of the vehicle based on the principal component signal and the transfer function matrix by using an inverse matrix method; and calculating contribution amount quantization results of each noise transmission path to the vehicle interior noise signal according to the road impact loads and the transfer function matrix. Therefore, the problems of noise identification result distortion and instability caused by the ill-conditioned transfer function matrix and the coupling of multiple reference point signals in the related art are solved.

The invention relates to the technical field of precision bearing manufacturing, and discloses a high-rigidity crossed roller bearing and a ferrule integrated grinding and detecting method thereof.The method comprises the steps that ferrule raceway roundness error data, end face flatness error data and perpendicularity error data are obtained; establishing a form and position error coupling relation equation set based on the clamping deformation influence coefficient matrix, and outputting a transfer function matrix; based on the transfer function matrix, the decoupling compensation amount of each machining surface is calculated; a comprehensive compensation instruction is generated, and coordinated compensation is executed through the multi-axis linkage control system. The problem that multiple form and position precision cannot be met at the same time due to independent error compensation in thin-wall ferrule grinding is solved.

This invention proposes a method, system, equipment, and medium for modeling the mixed impedance of the frequency-division converter. It obtains the small-signal models of the main circuits on both sides of the frequency-division converter, the relationships between voltage, current, and duty cycle small-signal disturbances in the controller's synchronous rotating coordinate system and the system's synchronous rotating coordinate system, the mathematical relationships between the voltage and current small-signal disturbances at the common coupling point on both sides of the frequency-division converter and the output voltage disturbance of the frequency-division converter, the transfer function matrix of the frequency-division converter controller, the mathematical relationships between the voltage and current small-signal disturbances at the common coupling point on both sides of the frequency-division converter and the DC voltage and grid-side power small-signal disturbances of the frequency-division converter, and the time delay matrix of the frequency-division converter. Then, it models the obtained relationships and matrices to calculate the mixed impedance of the frequency-division converter, avoiding complex mathematical derivations and calculations and improving the accuracy of stability analysis of the frequency-division transmission system.

The application discloses a multi-channel iteration method based on a multi-degree-of-freedom electro-hydraulic servo vibration test bench servo system decoupling method and a storage medium, and belongs to the technical field of electro-hydraulic servo control. In order to solve the problems of multi-degree-of-freedom coupling interference and insufficient waveform reproduction accuracy of a multi-channel electro-hydraulic servo vibration test bench, the application adopts an H1 non-parametric identification method to perform system identification to obtain a multi-channel transfer function matrix, and then designs a decoupling controller based on the transfer function matrix to eliminate the coupling interference between the multi-channels; finally, the control input is dynamically optimized through correction iteration, so that the purpose of improving the control accuracy of the multi-degree-of-freedom electro-hydraulic servo vibration table and accurately simulating the structural response under the action of an earthquake is achieved. The test data of the application is accurate and reliable. The application is suitable for the fields of civil engineering, traffic and machinery.

The invention discloses a temperature and pressure synchronous control method of a flight environment simulation system and a related device, and belongs to the field of aero-engine air flight environment simulation tests. According to the method, feedforward decoupling and feedback control are introduced, a system transfer function matrix and a feedforward compensation function are calculated, and dynamic temperature adjustment is achieved by adopting strategies such as double-valve matching or equal-proportion adjustment. A control algorithm is called through a real-time adjustment instruction, the opening degree of a valve is synchronously changed, dynamic decoupling continuous control over the temperature and pressure is achieved, a system transfer function matrix and a feedforward compensation function are introduced, and therefore the requirements for high precision and quick response of aircraft engine flight environment simulation are met. According to the method, the problem of strong coupling of temperature and pressure in a transition state test is solved, high-precision synchronous adjustment of two parameters is realized through cascade control, double-valve mixing temperature adjustment and feedforward decoupling compensation, and the simulation authenticity and the control effect are improved.

A method of recovering quantum error induced by non-markovian noise is disclosed. The method of recovering quantum error induced by non-markovian noise according to an exemplary embodiment of the present invention, includes obtaining a transfer function matrix including non-Markovian noise, obtaining an ideal operator for a requested gate operator, generating a recovery matrix by multiplying the ideal operator by an inverse matrix of a transfer function matrix including non-markovian noise, and multiplying the requested gate operator by a recovery matrix.

The invention discloses a superconducting quantum bit control signal calibration method and device, a storage medium and electronic equipment. The calibration method comprises the following steps: determining response functions of all quantum bits of an input control signal to respective input signals and response functions of all quantum bits to other quantum bit input signals; determining a transmission function matrix according to response functions of all the quantum bits to respective input signals and response functions of all the quantum bits to other quantum bit input signals; determining a calibrated input control signal according to the transfer function matrix and the target input control signal; and calibrating the input control signal according to the calibrated input control signal.

The application relates to the technical field of power system analysis and control, in particular to a modular multilevel converter multi-frequency coupling transfer function matrix model construction method. The method comprises the following steps: acquiring circuit parameters, control parameters and steady-state operation parameters of a modular multilevel converter; determining a three-dimensional transfer function matrix corresponding to the modular multilevel converter according to the circuit parameters, the control parameters and the steady-state operation parameters; determining a multi-frequency coupling transfer function matrix model corresponding to the modular multilevel converter according to the three-dimensional transfer function matrix; and performing stability analysis on the modular multilevel converter according to the multi-frequency coupling transfer function matrix model. The multi-frequency coupling transfer function matrix model constructed by the application can accurately analyze the stability of the wide-frequency oscillation of the modular multilevel converter HVDC system under multiple scenarios.

The invention provides an F-M II state space model implementation method and system based on a gyro flywheel, and the method comprises the steps: constructing non-zero power product terms in a transfer function matrix into a special matrix through the full combination of the properties of an F-M II model and the structural characteristics of the transfer function matrix, so as to reduce redundant terms; solving according to the relation between the special matrix and the transfer function matrix to obtain a realization matrix; the order of the realization matrix directly corresponds to the order of the constructed special matrix, so that the model order and the system complexity are obviously reduced; the method is simple and visual in implementation process and high in calculation efficiency, and the high-order implementation problem of the multi-dimensional system is effectively solved. According to the method, the F-M II state space model which is lower in order and easier to implement is adopted to describe the multi-dimensional system, so that the method has remarkable practical application value, the system expression is simplified, the system analysis and design efficiency is improved, and the implementation method of the gyro flywheel system and the application of the F-M II state space model in a practical system are expanded.

The application discloses a method, device and equipment for determining SVG control parameters and a readable storage medium. The method comprises the following steps: setting a key operation condition of a new energy grid-connected system; determining a closed-loop transfer function matrix of the new energy grid-connected system according to a control structure of the new energy grid-connected system and in combination with an H-infinity control matrix of an SVG in the new energy grid-connected system; and determining SVG control parameters under the key operation condition based on the closed-loop transfer function matrix. The application determines the key operation condition of the new energy grid-connected system, determines the closed-loop transfer function matrix based on the H-infinity control matrix, and determines the SVG control parameters under the key operation condition. The new energy grid-connected system is controlled by using the SVG control parameters, the stability of the new energy grid-connected system containing the SVG can be improved, and better small interference robustness is achieved.

The invention discloses a stability judgment method and device applied to a virtual inertia control system. The method comprises the following steps: constructing a state space model of the virtual inertia control system; converting the state space model into a multivariable system transfer function matrix G (s), wherein s is a Laplace operator; drawing a Nyquist diagram with a Gerer round belt of the system transfer function matrix G (s); and if the virtual inertia control system meets the use condition of the combined criterion based on the Gerer round belt, judging the stability of the virtual inertia control system by using the combined criterion. According to the method, the calculation complexity is remarkably reduced, a direct and visual reference is provided for optimal selection of key parameters such as a virtual inertia coefficient, and the applicability and efficiency in engineering practice are greatly improved.

The invention provides a reactive power compensation equipment parameter coordination calibration method and device, and the method comprises the steps: constructing a system frequency domain admittance matrix according to the admittance model of each power electronic equipment, and obtaining a transfer function matrix between disturbance and AC bus voltage according to the system frequency domain admittance matrix; determining the sensitivity of the amplitude of the transfer function matrix to the parameters of the reactive compensation equipment according to the transfer function matrix; and constructing an optimization model according to the sensitivity and the amplitude adjustment target of the transfer function matrix, and solving the setting value of the reactive compensation equipment parameter through the optimization model.

The embodiment of the invention provides a reactance and capacitor fused voltage measurement dual-measurement method and device, and the method comprises the steps: carrying out the fast Fourier transform of a preprocessed induced electromotive force signal and a preprocessed capacitive displacement current signal, and generating a frequency domain characteristic decomposition result, the inherent difference of the reactance channel and the capacitance channel in amplitude-frequency and phase-frequency characteristics is analyzed, and a frequency-variable transfer function matrix is constructed; performing amplitude and phase compensation on fundamental components and harmonic components of subsequently input induced electromotive force signals and capacitive displacement current signals according to the frequency-dependent transfer function matrix; performing complex plane vector synthesis on the compensated reactance signal and the compensated capacitance signal, and calculating a confidence index; and the weight factors of the two paths of signals in fusion are adjusted according to the confidence index, and a fusion voltage measurement value is output, so that the overall precision, reliability and anti-interference capability of the high-voltage measurement system are effectively improved, and the broadband measurement requirement in a complex power grid environment can be met.