716 results about "Equivalent model" patented technology

The invention discloses a servo motor dynamic overload detection and protection method based on a heat accumulation model, which relates to the technical field of servo system fault protection application, and comprises the steps of constructing a heat accumulation equivalent model, dynamically detecting an overload state, executing a heat dissipation recovery strategy, implementing a multi-stage protection mechanism, self-adaptive environment compensation and a historical data learning function. Through discretization processing of overload curve data and a nonlinear acceleration calculation strategy, the problems of protection lag and false triggering caused by traditional single-parameter detection are avoided, it is ensured that the motor can respond in time in light load, heavy load and load fluctuation scenes, the burn-out risk of the motor is reduced, and through integration of an environment temperature sensor and a heat dissipation condition evaluation unit, the reliability of the motor is improved. The heat accumulation coefficient and the heat dissipation attenuation parameter are dynamically adjusted, the problem of model deviation caused by environment interference is solved, when heat dissipation deterioration and temperature feedback abnormity are detected, the heat dissipation recovery period is automatically prolonged, calculation logic is corrected, and the continuous operation reliability of the system is improved.

The invention discloses an intelligent equivalent modeling and simulation optimization method based on machine learning and multi-physics field coupling, and the method employs a 2.5 D chip stress simulation method combining a customized material with equivalent parameters output by a Python script, and can remarkably reduce the calculation time and memory resource consumption on the premise of guaranteeing high precision. Based on DNN trained by large-scale historical data, an equivalent model can be dynamically adjusted in the simulation process, and more optimized stress analysis is achieved; according to the method, the research and development period can be greatly shortened, the design reliability is improved, and the method has very high practical value and commercial value; through construction of an equivalent model and application of an automatic script, a designer can more efficiently carry out stress analysis and optimization of the 2.5 D chip, and a brand new solution is provided for design of an integrated circuit.

The invention discloses a metro shield tunnel crack width refined numerical simulation method under surface loading, and the method comprises the following specific steps: describing the overall stress deformation characteristics of a soil body-shield tunnel structure based on a stratum-structure method, and simulating a macroscopic equivalent model by adopting a continuous medium model, and the equivalent stiffness reduction effect caused by the influence of longitudinal seams and circular seams is fully considered, the most unfavorable section position along the shield tunnel is determined, so that the key section is replaced with a refined model considering local hand hole weakening, multi-contact and built-in steel bars, and the shield tunnel crack evolution characteristics are described by adopting a total strain crack model. And obtaining the millimeter-scale crack width of the target tunnel structure based on a load-structure method. According to the analysis method, the millimeter-scale crack width of the shield tunnel under the action of ground surface loading can be accurately obtained, the structure safety state can be rapidly evaluated in combination with current specifications, and an important basis is provided for operation and maintenance of the subway shield tunnel.

The invention discloses a power coupling-considered capacity ratio estimation method for a network-constructing / network-following multi-machine hybrid system, and the method comprises the steps: building a GFL-GFM hybrid system model, combining VSG power coupling small signal modeling and a dynamic relative gain matrix (DRGA), and quantifying the coupling strength of active / reactive power to output voltage; the frequency domain impedance characteristic of the GFM converter is simplified, and an ideal voltage source series equivalent reactance equivalent model is constructed; deriving an analytical relationship between a generalized short-circuit ratio (gSCR) and a capacity ratio based on the model, and generating a ratio formula in combination with engineering boundary sub-scenes to form a ratio range suitable for multiple scenes; for coupling time-varying characteristics, a closed-loop mechanism of'mixed mode-coupling sensing-correction calculation-execution feedback 'is constructed, and the ratio is dynamically adjusted. According to the method, coupling quantization and multi-machine coordination control are deeply fused, the problem that the external characteristic model precision and the multi-working-condition adaptability are difficult to consider under complex environment coupling is effectively solved, and the engineering applicability of the hybrid fan system is enhanced.

The invention discloses a cooperative scheduling method for a zero-carbon park complementary energy storage system, and the method comprises the steps: enabling an electric energy quality index to be explicitly incorporated into an optimization target through multi-source resource dynamic modeling and scene prediction, and building a strong coupling relation between a physical constraint and a scheduling decision; the hierarchical execution mechanism gives consideration to global optimization and local quick response, realizes undisturbed switching under abnormal working conditions, forms a prediction-optimization-execution-feedback closed-loop control system, and can accurately describe physical connection and electrical characteristics of a park power grid by establishing a power distribution network equivalent model and acquiring topological parameters, thereby realizing the optimal control of the park power grid. And basic network data is provided for subsequent optimization. By determining the controllable resource set and completing topological mapping, the position and the regulation and control range of each device in the power grid can be determined, and mistaken sending or conflict of instructions can be avoided. An apparent power upper limit constraint and SOC dynamic model is established, overload operation of equipment can be avoided, the energy storage charging and discharging capacity can be accurately represented, and the performability of a scheduling scheme is ensured.

The invention discloses an aggregation equivalent modeling method for a new energy base containing multiple control strategies. The method comprises the following steps: constructing a relation equivalent model satisfied by the terminal voltage of a new energy field station of the new energy base containing multiple control strategies and the voltage of a collection bus of the new energy base; constructing a positive sequence network equivalent model and a negative sequence network equivalent model of the new energy station; performing aggregation equivalence of the new energy base according to the relation equivalence model and the positive sequence network equivalence model to obtain a positive sequence network aggregation equivalence model; performing series-parallel aggregation equivalent calculation according to the topological relation of the new energy base and the negative sequence network equivalent model to obtain a negative sequence network aggregation equivalent model; and according to the positive sequence network aggregation equivalence model and the negative sequence network aggregation equivalence model, a new energy base aggregation equivalence model is constructed, and the new energy base aggregation equivalence model is used for performing short circuit calculation on the power system containing the new energy base.

The invention relates to a multi-target optimization method for pressure and flow characteristics of a CDC electromagnetic pilot overflow valve, and belongs to the technical field of automobile suspensions. The method comprises the following steps: (1) establishing a three-dimensional equivalent model of the CDC electromagnetic pilot overflow valve; (2) building a dynamic model according to the built three-dimensional equivalent model and a working principle; (3) building a hydraulic simulation model according to the kinetic model; (4) forming a training sample to train the neural network model; (5) initializing ant colony algorithm parameters; (6) starting ant colony algorithm iteration; (7) updating pheromones; (8) judging whether a termination condition is met or not; (9) outputting an optimal parameter combination and an optimized pressure-flow characteristic curve; and (10) determining the importance degree of the influence factors through a Pareto method. The ant colony algorithm and the annealing algorithm are combined, the local optimum problem is effectively avoided, and global convergence is accelerated.

The invention provides a basin complex reservoir group flood control optimization scheduling efficient solving method, which comprises the steps of processing reservoir inflow abnormal fluctuation based on a VMD-Enhanced CNN model, and obtaining a de-noised inflow process; constructing a reservoir group flood control scheduling model, based on an equivalent projection theory decomposition system, selecting a reservoir outlet flow as a coordination variable, and establishing a subsystem equivalent model; a Ray distributed computing framework is adopted to process the subsystem equivalent model in parallel, an EP-DOA-CUDA algorithm is executed for solving, and a global optimal coordination variable of the system is obtained; and by taking the global optimal coordination variable as a boundary condition, optimizing a lower-layer subsystem based on an IVYA optimization algorithm to obtain an optimal scheduling scheme of the reservoir group. According to the method, the problems of abnormal fluctuation of the reservoir flow, high model complexity, low calculation efficiency and the like are solved, and the flood control scheduling precision and timeliness are improved.

The invention discloses a simulation method of a full-system coupled railway traction power supply system, which comprises the following steps: taking a traction power supply system and a train group as integrated simulation objects, and respectively constructing traction power supply network models including equivalent models of traction transformer, traction network, AT station and public power grid parameters; a multi-train operation simulator is constructed, and the multi-train operation simulator comprises various parameters such as trains, lines, signal systems, operation organizations and the like. Traversing all on-line trains through a multi-train operation simulator, substituting the on-line trains into a traction power supply network model, and dynamically calculating operation parameters and traction loads of a train group, including calculating locomotive initial current according to train initialization voltage, solving a traction power supply network node voltage equation and updating locomotive terminal voltage; and correcting the traction and braking characteristics of the train based on the updated locomotive terminal voltage. The method overcomes the defects of a traditional calculation method using a traction power supply system as an isolated network, reveals the dynamic state of train operation and the distribution characteristics of the traction network, and finally can obtain various parameters of each train.

The invention discloses a structure optimization method and device for a collision working condition, a vehicle body part, a vehicle, equipment and a medium, and the method comprises the steps: determining a continuously changing displacement matrix and stiffness matrix of each finite element on an equivalent model in a collision simulation process, and carrying out the optimization of the collision condition according to the displacement matrix and stiffness matrix of the finite element at a target moment; and updating the load of the target load step applied to the finite element to update the collision simulation on the equivalent model, and based on the equivalent model after collision simulation, carrying out topological optimization on the model structure. According to the method, the stiffness matrix change of the finite element under the action of different load steps is analyzed, different stiffness states under the different load steps are determined, and on the basis of updating of the target load step, each load step can truly show the real-time state of collision, so that the nonlinear process in the collision process is restored with high precision, and the collision accuracy is improved. And the effect and accuracy of structure optimization are enhanced, and lightweight design is achieved while the collision performance of vehicle body parts is guaranteed.

The invention provides a three-phase transformer parameter estimation method and device, computer equipment and a medium, and belongs to the field of electrical control, and the method comprises the steps: obtaining synchronous phasor data of a target three-phase transformer; an improved LASSO algorithm is constructed; preprocessing the data through an improved LASSO algorithm; constructing a positive sequence component equivalent model of the target three-phase transformer; based on the positive sequence component equivalent model, determining a correlation among a plurality of circuit parameters of the target three-phase transformer, and determining the plurality of circuit parameters; and estimating structure parameters and magnetic circuit parameters of the target three-phase transformer based on the circuit parameters to obtain corresponding estimation results. Thus, complex specific experiments do not need to be carried out on the target three-phase transformer, on one hand, loss is low, the application range is wide, the parameters of the target three-phase transformer can be comprehensively estimated, on the other hand, better adaptability is achieved for complex conditions such as nonlinear characteristics of the transformer, and parameter evaluation is more accurate.

The invention relates to the technical field of stability analysis of a new energy grid-connected system, in particular to a new energy real-time short-circuit ratio margin evaluation method, system equipment and a medium, and the method comprises the steps: building an equivalent model based on power grid parameters, calculating equivalent capacity, and carrying out online correction in combination with multi-source data; calculating a new energy grid-connected short-circuit ratio according to the equivalent capacity ratio, calculating a short-circuit ratio index based on a constraint equation, refreshing a real-time index through measurement data of local voltage and current, and outputting a real-time short-circuit ratio; calculating the short-circuit ratio margin of the new energy station based on the short-circuit ratio difference value, quantitatively evaluating the stability, judging a stable state according to a positive value and a negative value of the margin, quantifying an instability risk level according to an absolute value of the margin, and generating a graded early warning signal and a control instruction; through dynamic fusion of multi-source data correction capacity, local measurement of millisecond-level refreshing indexes and margin positive and negative values, a control instruction is triggered, stable monitoring and active defense are realized, and the anti-disturbance capability and the safety level of a high-proportion new energy power grid are remarkably improved.

Disclosed in the present invention is a variable coefficient equivalent SISO model based stability analysis method for a grid-connected converter system, comprising the following steps: constructing a variable coefficient equivalent SISO model; obtaining a complex space vector open-loop transfer function on the basis of the variable coefficient equivalent SISO model; and obtaining Nyquist curves under different current loop parameters or phase-locked loop parameters on the basis of the complex space vector open-loop transfer function. If the Nyquist curves surround point (-1,0), the grid-connected converter system is stable; and if the Nyquist curves do not surround point (-1,0), the grid-connected converter system is unstable. The present invention performs small disturbance modeling on the grid-connected converter system, considers the influence of mutual coupling between the phase-locked loop and the inner current loop, and derives a variable coefficient SISO open-loop transfer function capable of characterizing an MIMO system. Compared with the technical solution in the prior art that actual working conditions are not considered, the method disclosed in the present invention can more accurately analyze the system stability of the system under variable working conditions and variable parameters.

The present invention belongs to the field of mechanical engineering, and particularly relates to an equivalent model of a knocking kinematic pair of a continuous elastic body and a modeling method thereof. An equivalent model is established for the knocking kinematic pair in a continuous elastic body mechanical structure or system, that is, the non-linear mapping relationship between the knocking pulse force and the knocking initial velocity. By assuming that the knocking force pulse is a half-cycle sine wave, and simultaneously using the Hertz contact model and the origin transfer function or impulse response function of the mechanical structure at the knocking contact point to express the contact mechanical properties of the knocking pair material pair and the impedance properties of the mechanical structure at the knocking part, the relationship between the output and input of the non-linear equivalent model, that is, the knocking pulse force and the knocking initial velocity, is derived. Through the method of the present invention, the problem of rapid prediction of the knocking force pulse of a continuous elastic body mechanical structure can be solved.

The invention discloses an energy storage resource scheduling optimization method and system based on digital twinning. The method comprises the following steps: step 1, constructing an energy storage resource scheduling optimization platform based on digital twinning; establishing a digital twinborn model for describing the operation state of the energy storage equipment in combination with the physical characteristics and historical data of the energy storage system; step 2, based on the constructed scheduling optimization platform, performing joint modeling on a wind power generation system, a photovoltaic system and an energy storage system, and establishing an equivalent model of a joint power generation system; 3, based on the established equivalent model of the combined power generation system, establishing a multi-objective optimization function and physical and operation constraint conditions of a scheduling algorithm, and constructing an energy storage system resource scheduling optimization problem; and step 4, based on the established scheduling optimization problem, performing problem solving and dynamic adjustment by using a differential evolution algorithm. The running state of the energy storage system is accurately reflected, and the real-time response capability is improved; the economy and the stability of the scheduling scheme are obviously improved; and the security and feasibility of the scheduling strategy are ensured.

The invention provides a new energy station grid-connected oscillation risk assessment method and device, and relates to the field of new energy grid-connected control. The method comprises the following steps: constructing a dynamic equivalent model based on new energy station operation parameters; based on the dynamic equivalent model, obtaining impedance spectrum feature domains in different control modes; calibrating an impedance spectrum feature domain based on a semi-physical simulation platform; inputting the calibrated impedance spectrum feature domain into a grid-connected oscillation risk assessment model, and outputting oscillation damping ratio predicted values of the new energy station in different control modes based on the grid-connected oscillation risk assessment model; and constructing a self-adaptive threshold, and evaluating the grid-connected oscillation risk of the new energy station based on the magnitude relationship between the oscillation damping ratio predicted value and the self-adaptive threshold in different control modes. The method solves the problems that when different control modes are switched or external operation conditions are changed, a prediction result of a traditional method is prone to distortion, and the real oscillation risk of the new energy station is difficult to reflect accurately.

The invention discloses a power distribution network equivalent modeling and model calling method considering distributed photovoltaic uncertainty. The method comprises the following steps: firstly, collecting a photovoltaic output historical prediction value and an actual value in a power distribution network area, and calculating a prediction error; clustering prediction errors according to prediction time and prediction values, and calculating probability density distribution of each clustering result; establishing an equivalent model of the power distribution network to determine parameters to be identified, and then collecting electrical measurement values of the power distribution network to identify the parameters of the equivalent model; and finally, calling the equivalent model to predict distributed photovoltaic output in the power distribution network.

The invention discloses a power grid multi-energy dynamic aggregation equivalence control method and system based on a knowledge graph, and relates to the technical field of power grid energy aggregation equivalence modeling, and the method comprises the following steps: obtaining power grid energy structure multi-source data, and constructing a power grid multi-class energy aggregation equivalence knowledge graph database; based on the electrical similarity between the knowledge graph database and the node residual voltage, quickly aggregating and dynamically regulating and controlling the multiple energy sources of the power grid, and constructing an aggregation equivalent model of the multiple energy sources of the power grid; performing power flow simulation on the aggregation equivalence model, obtaining evaluation data of the aggregation equivalence model, and controlling the structure and parameters of the aggregation equivalence model according to the evaluation data; according to the invention, flexible equivalence of the multiple types of energy sources of the power grid is carried out through a knowledge graph-based rapid real-time aggregation equivalence method considering the multiple types of energy sources of the power grid, so that the problem that centralized and distributed new energy sources and shearable load energy structures cannot be automatically and flexibly aggregated and equivalence to power grids of any voltage class rapidly and in real time is solved; and the method is not suitable for rapid real-time aggregation equivalence of multiple types of energy sources.

The invention relates to the technical field of data processing, in particular to a power grid probability equivalent model construction method and device based on multi-scene clustering, and the method comprises the steps: obtaining a power grid multi-dimensional data source, executing a spatial-temporal feature decoupling operation, and outputting a spatial-temporal feature tensor with a weight identifier; executing graph-driven enhanced clustering operation based on the tensor, constructing a topological risk graph structure, and generating a safety margin offset thermodynamic diagram through a deep reinforcement learning decision feature compression strategy; executing a double-algorithm optimization traceability operation, adopting a genetic algorithm to encode a feature cutting operation, taking a margin deviation value as a fitness function, optimizing a time window parameter by a butterfly algorithm, and outputting a feature operation traceability matrix; and feeding back the matrix to the enhanced clustering operation to update the decision rule. According to the method, the problem of dynamic security risk quantification distortion caused by scene clustering dimension reduction is solved under the constraint of limited computing resources through risk perception feature processing, enhanced resource allocation and a closed-loop architecture of double-algorithm traceability optimization.

The invention relates to a lightning protection composite insulator insulation cooperation detection and structure optimization method based on digital twinning. The method comprises the following steps: obtaining a structure parameter, a real-time environment parameter and an operation electrical parameter of a lightning protection composite insulator to be detected; constructing a digital twinborn simulation field domain model; establishing a preliminary digital twinborn simulation platform; obtaining an updated preliminary digital twinborn simulation platform; establishing an insulation cooperation equivalent model to obtain an optimized design scheme; and carrying out real-time monitoring and early warning on the insulation cooperation condition of the lightning protection composite insulator according to the insulation cooperation equivalent model. According to the invention, the insulation state of the insulator and the lightning arrester can be monitored in real time, real-time tracking of the insulation performance is realized, and once the insulation performance is abnormal, early warning can be immediately given out to remind operation and maintenance personnel to take measures in time, so that equipment faults or safety accidents caused by insulation failure are effectively avoided; performance bottlenecks and potential problems of the equipment can be found in time, and targeted maintenance suggestions are provided for operation and maintenance personnel.

The invention discloses a flow resistance and heat transfer simulation analysis method for a thermal management refrigerant side integrated module, and relates to the technical field of computer simulation. The method mainly comprises the following steps of: dividing a computational domain model into a solid domain, a fluid domain comprising a plurality of single-phase flow channel sub-domains and a flow channel section which is in a gas-liquid two-phase state and exchanges latent heat along with phase change in combination with the need of an actual analysis working condition; performing polynomial fitting on various parameters by fixing the inlet pressure value of each single-phase flow channel sub-domain; loading the fitted physical property function to the corresponding runner sub-domain, and setting a constant material attribute for the solid domain runner plate; a conjugate heat transfer model is started on an interface of a fluid domain and a solid domain, and interface heat flux density conservation and temperature continuity simulation is carried out; setting boundary conditions; and executing conjugate heat transfer simulation calculation until convergence calculation is completed. According to the method, the simulation precision is improved through fusion of three core technologies of dynamic change physical property fitting, solid-liquid conjugate heat transfer coupling and two-phase flow latent heat equivalent modeling.

The invention discloses an inverter control method based on a feature recognition model. The method comprises the following steps: acquiring an input voltage VPV, an input current IPV, an environment temperature Ttemp, a bus voltage Vbus and a real-time power Pac in real time; performing an inverter time-sharing control strategy; constructing a power prediction model for soft start in an output capability intensifying period; main influence factors on power fluctuation are extracted through principal component analysis, and power corresponding to power is output through an inverter efficiency equivalent model, a photovoltaic cell equivalent model and a boost circuit mathematical model; and performing active shutdown in an output capability weakening period. According to the method, main influence factors on power fluctuation can be extracted through principal component analysis, so that power reference is output, the adjustment requirement of a back-end control strategy is met, and the power generation efficiency is remarkably improved. According to the invention, soft start in an output intensifying period and shutdown protection control requirements in an output weakening period are met, frequent start and stop are basically avoided, the damage risk of switching elements is reduced, and the operation control of the inverter is more reliable and stable.

According to the method for regulating and controlling the stability amplitude through the ultrasonic power source, the output of the ultrasonic power source is dynamically adjusted through intelligent control and a feedback mechanism, the amplitude of the transducer is stable under different loads, and the machining precision and efficiency are improved. An equivalent model is constructed through a power supply output characteristic equation and a dynamic response relationship, voltage, current and mechanical information are monitored in real time by combining a high-precision sensor, expected power output is predicted by applying a neural network after deep preprocessing, a power error is calculated by using a PID algorithm, and power supply output is dynamically adjusted. According to the method, through continuous feedback and correction, it is ensured that the amplitude of the system is reasonable and stable under the complex working condition, the stability and applicability of the ultrasonic transducer system are remarkably enhanced, and the method is particularly suitable for ultrasonic machining equipment in the complex load environment.

An intelligent unmanned aerial vehicle pneumatic structure reduced-order analysis model comprises a pneumatic reduced-order model and a structure reduced-order model. The aerodynamic structure order reduction analysis process comprises the steps that an aerodynamic order reduction model and a structure order reduction model are initialized; under the given calculation working condition, the aerodynamic load acting on the intelligent unmanned aerial vehicle structure is obtained through calculation of the aerodynamic reduced-order model; transmitting the load on the pneumatic grid to the structural grid through a force interpolation algorithm; solving deformation response by the structure order reduction model under the action of aerodynamic load; the structural deformation is fed back to the pneumatic grid through displacement interpolation, and the pneumatic configuration is updated; and performing iterative calculation until a convergence criterion is met, finally obtaining a pneumatic structure analysis result in an equilibrium state, and outputting a pneumatic coefficient and structural deformation and stress. According to the method, the CFD / CSD model is replaced by the equivalent model, so that the calculation efficiency is remarkably improved on the premise of ensuring the calculation precision.

The invention discloses a modeling method and system for a vehicle network field circuit coupling model under a contact line short-circuit working condition, and relates to the technical field of modeling, and the method comprises the following steps: constructing a short-circuit arc equivalent model under the contact line short-circuit working condition based on an isolation switch equivalent model, one end of the short-circuit arc equivalent model is connected with a contact line in sliding connection with a pantograph in the chain type lumped tau-shaped network model through a switch element, the other end of the short-circuit arc equivalent model is connected with a steel rail in the chain type lumped tau-shaped network model, and a vehicle network circuit model under the contact line short-circuit working condition is obtained; and taking the short-circuit arc current at any short-circuit phase obtained through simulation of the vehicle network circuit model as a current excitation source of the three-dimensional model, and obtaining a vehicle network field model under the contact line short-circuit working condition. The rise rate, peak value and attenuation process of the short-circuit current can be accurately simulated by adding the short-circuit arc, the arc voltage drop is reflected, and the authenticity and practicability of simulation are remarkably improved.

The invention discloses an electromagnetic transducer modeling and dynamic distribution parameter confirmation method considering electro-magnetic-mechanical-acoustic coupling. The method comprises the following steps: constructing a dynamic multi-physical field distribution parameter model DPM of an electromagnetic transducer system; a PGA model optimization method based on a parallel genetic algorithm; the dynamic multi-physical field distribution parameter model DPM comprises the following steps: constructing an excitation loop equivalent model, wherein the excitation loop equivalent model comprises a plurality of excitation main loop units, a plurality of air gap magnetic flux leakage loop units and a plurality of permanent magnet loop units; and constructing a mechanical structure equivalent model, wherein the mechanical structure equivalent model comprises physical models such as a system radiation panel, a spring system and a rubber panel. According to the method, parameters of the DPM are optimized through the PGA algorithm, the performance efficiency of the electromagnetic transducer is improved, and a new method is provided for design of the electromagnetic transducer.

The invention provides a method and device for determining scattering parameters based on deep learning, a medium and a product, and the method comprises the following steps: obtaining to-be-processed scattering parameters obtained through the overall measurement of a to-be-tested device and a test fixture; the scattering parameters to be processed are input into a pre-trained parameter optimization model, a physical constraint framework is introduced when the parameter optimization model is trained to ensure that a prediction result conforms to physical laws such as causality, stability and passivity, and a physical constraint loss function and a frequency adaptive weighting strategy are adopted; obtaining an equivalent model which is output by the parameter optimization model and corresponds to the scattering parameter to be processed; and obtaining a target scattering parameter corresponding to the to-be-processed scattering parameter according to the equivalent model. According to the method, a physical constraint framework is introduced, so that the problem that a traditional 2xthru de-embedding method is in a high-frequency region (especially S11gt; s21), and physical rationality and stability of the result are ensured at the same time.

The embodiment of the invention provides an equivalent model design method and system for an unmanned aerial vehicle carrying mission load flight test, and the method comprises the steps: obtaining mission load demand parameters and test condition parameters, the demand parameters comprise a long side A1 and a short side A2 of a rectangular airspace, A1 > = A2, and a demand speed v0; the test parameters comprise a test airspace long side B1 and a test airspace short side B2, B1 is greater than or equal to B2, the test machine minimum speed v1 and the test machine maximum speed v2, and v2 is greater than or equal to v1; when A1 < = B1, A2 < = B2 and v1 < = v0 < = v2 are not satisfied, calculating an equivalent coefficient p, and if the airspace condition A1 < = B1 and A2 < = B2 are not satisfied, calculating and determining the equivalent coefficient p; if the airspace condition A1 < = B1 and A2 < = B2 are satisfied, but the speed v1 < = v0 < = v2 is not satisfied, determining an equivalent coefficient p; based on the reference point coordinates and the equivalent coefficient p, longitude and latitude are achieved through geocentric coordinate system conversion, and horizontal navigational speed mapping is carried out. According to the technical scheme, by simulating the flight profile required by the mission load, the problem that the unmanned aerial vehicle cannot fly out of the flight profile required by the mission load in a flight test carrying the mission load can be solved.

The present invention belongs to the technical field of gas field exploitation, and discloses a numerical simulation method for shale condensate gas reservoir development based on a universal pEDFM, comprising the following steps: S1, using the universal pEDFM to calculate the conductivity of the connection between various grids; S2, constructing a commercial numerical simulation software CMG equivalent model based on the universal pEDFM; S3, calling the nonlinear solver in CMG to solve the shale condensate gas reservoir component model. The present invention adopts the above-mentioned numerical simulation method for shale condensate gas reservoir development based on the universal pEDFM, which not only ensures the advantages of the universal pEDFM in calculation accuracy and processing of complex fracture networks, but also avoids the difficulty of developing additional high-performance nonlinear solvers, and provides a numerical simulation tool with the best theoretical comprehensive calculation performance for the development of fractured shale condensate gas reservoirs.

The invention discloses an engineering system fault-tolerant tracking control method based on data driving, and belongs to the technical field of engineering control methods. Comprising the following steps: S1, establishing an engineering system equivalence model under a fault, and defining a performance index function and a corresponding value function so as to convert an optimal control problem into a zero-sum game problem; s2, aiming at the problem that the state of the engineering system is unmeasurable, reconstructing the state by utilizing historical input and output data so as to design and solve an optimal control strategy; and S3, introducing and defining a Q function, designing a controller gain and a disturbance gain # imgabs0 #, and optimizing the # imgabs1 # in combination with a designed model-free non-strategy Q-learning output feedback algorithm to obtain an optimal controller. Through an injection molding industrial process and a depth control simulation experiment of an autonomous underwater vehicle (AUV), convergence of the algorithm and an excellent tracking control effect of a designed controller are verified.