865 results about "Load model" patented technology

The invention discloses a power system load modelling method, including the steps that: A, load classification based on daily active load curve; B, load modelling based on statistic synthesis method; C, load model parameter sensitivity analysis and range analysis based on simulation analysis; D, load model parameter node identification based on genetic algorithm, namely node identification is carried out by taking fitted local disturbance data as target, setting low sensitivity parameter value as statistic synthesis method surveying parameter value and adopting the genetic algorithm, so as to obtain multiple groups of load model parameters; E, load model parameter wide area check based on WAMS, namely load model parameter check is carried out by taking the multiple groups of solutions identified by node as initial value and taking accurate fitting on system wide area dynamic characteristic as target, so as to obtain unique solution capable of reflecting wide area dynamic characteristic when system is subject to disturbance. The invention solves the problems of multiple solutions and identifiability of overall measuring identifying method by load point classification and load model parameter aggregation and has popularization and application values.

A controller for an AC electric motor, includes a Feed Forward Torque Controller and a load model. The Torque controller directly derives a torque related component of applied motor voltages from a signal representing a torque command input T* and at least one motor parameter. The load model derives a motor speed value including a model of motor speed behaviour of the AC electric motor to provide an output signal which represents the motor speed of the AC electric motor. This motor speed output signal is used in determining a frequency of rotation of an applied motor voltage vector. Where an input to the load model is the signal representing the torque command input T*, the load model uses the signal representing the torque command T*, at least over a part of an operating speed range of the AC motor which includes zero speed, to determine the motor speed output signal.

The invention relates to a true three-dimensional loading model experiment system for highland stress, comprising an intelligent hydraulic control system, a high-pressure loading system and a counterforce device system, wherein, the high-pressure loading system is arranged in the counterforce device system; an intelligent hydraulic control test bed of the intelligent hydraulic control system is connected with the high-pressure loading system through a high-pressure oil pipe; the high-pressure loading system comprises a jack and loading plates; one end of the jack is connected with the loading plates; the other end of the jack is connected with the counterforce device system; and six loading plates connected with the jack respectively cling to front, rear, left, right, upper, lower side surfaces of a trial model. The system has the advantages of synchronous and independent highland stress loading, high loading automation degree and loading accuracy, more loading functions, the realization of the axial loading opening of a cavity, high rigidity of the loading system, good integral stability, simple and convenient operation and so on. The system can be widely used in deep underground cavity model experiment and research in engineering fields such as hydroelectric power, transportation, energy, mine, national defense and so on.

An electronic design automation system provides optimization of RTL models of electronic designs, to produce detailed constraints and data precisely defining the requirements for the back-end flows leading to design fabrication. The system takes a RTL model of an electronic design and maps it into an efficient, high level hierarchical representation of the hardware implementation of the design. Automatic partitioning partitions the hardware representation into functional partitions, and creates a fully characterized performance envelope for a range of feasible implementations for each of the partitions, using accurate placement based wire load models. Chip-level optimization selects and refines physical implementations of the partitions to produce compacted, globally routed floorplans. Chip-level optimization iteratively invokes re-partitioning passes to refine the partitions and to recompute the feasible implementations. In this fashion, a multiple-pass process converges on an optimal selection of physical implementations for all partitions for the entire chip that meet minimum timing requirements and other design goals. The system outputs specific control and data files which thoroughly define the implementation details of the design through the entire back-end flow process, thereby guaranteeing that the fabricated design meets all design goals without costly and time consuming design iterations.

An apparatus is provided for analysis of a repair for a structure by identifying component parts of the structure that have common material properties and geometric constraints, and based thereon determining a generic repair component for the component parts that also have the common material properties and the geometric constraints. A set of loads are extracted from a loads model of the undamaged structure and redistributed in a loads redistribution model at a damaged or defective portion of the component part. The set of redistributed loads indicate loading incurred by the generic repair component under an external load. The apparatus then uses the redistributed loads to perform an analysis to determine a margin of safety of the generic repair component and, in instances in which the margin of safety is positive, outputs the material properties and geometric constraints of the generic repair component to a fabrication system for production thereof.

The invention provides a method for estimating a state of dynamic process of a power system. The method takes an estimated result of the static state before the electric grid disturbance as a basic section and introduces a load model and a motor model to perform the equivalent treatment to the electric grid; in the process of the electric grid disturbance, a synchronous phasor measuring unit(PMU) is used to measure and obtain data of a motor, and according to the active power and the reactive power zero injection pseudo-measurement equations of all nodes of the original electric grid, states of all nodes of the electric grid are estimated, and the state of dynamic process of the electric grid is acquired only by the PMU measurement of a power plant. Because the state of the electric grid before disturbance is taken as a basis and only the PMU distribution of the power plant is required, the method effectively resolves the problem of state monitoring under the condition of the electric grid disturbance; on the same disturbance, for continuous PMU measurement sections, PMU measurement data can be directly put in iterative computations, thereby the continuous sections in the process of electric grid disturbance are provided for stable control and analysis; moreover, the method is fast in speed, so that the method meets the requirement for monitoring the dynamic process in real time.

The invention relates to a peak shaving control method based on an air conditioner aggregation model. The peak shaving control method based on the air conditioner aggregation model is characterized in that the peak shaving control method comprises the following steps that (1) a load model of single air conditioner is built according to the energy conservation principle and air conditioner running characteristics; (2) unified dispatch and control are conducted on air conditioner groups through load aggregators, the aggregation model of the air conditioner groups is built, and peak shaving potential of an aggregated air conditioner load is evaluated; (3) in the current market, a minimum electric power company dispatching cost is taken as the objective function, and dispatching plans of next-day peak shaving time periods are made; and (4) in the process of real-time dispatching, the profits of the load aggregators and the comfort level of users are considered together as a whole to achieve optimized control of the aggregated air conditioner load. According to the peak shaving control method based on the air conditioner aggregation model, the technical scheme achieves centralized dispatching control over the air conditioner groups, load-side resources are exploited sufficiently, and the investment pressure of power network facilities is relieved.

A computer program product for transcribing a medical dictation in real-time includes instructions for causing a computer to obtain a user identification from a user at a client via a computer network, the user identification being associated with medical personnel that provides a dictation concerning a patient, load models associated with the user identification, the models being configured to assist in developing a draft transcription of the dictation, receive an audio feed of the dictation from the client, process the audio feed using the models to create a segment of the draft transcription of the dictation, and transmit the segment of the draft transcription to the client.

The invention relates to a comprehensive energy system optimization dispatching method considering various flexible loads. The comprehensive energy system optimization dispatching method comprises thefollowing steps of 1) building a comprehensive energy system mathematical model comprising a gas turbine power generation system capable of moving, rotating, reducing a load model and storing energyaccording to an excitation compensation mechanism by combining power utilization and dispatching characteristic of each flexible load in the comprehensive energy system; and 2) building supply-demandcombination daily optimization dispatching model, taking total running cost as minimum according to the comprehensive energy system of which power, heat and load can participate in interaction, leading the model into an automatic computer system, solving output of each equipment of the comprehensive energy system by the automatic computer system, and controlling each equipment according to outputto obtain an optimization running result. Compared with the prior art, the comprehensive energy system optimization dispatching method has the advantages that the running cost of the system can be obviously reduced, the difference between peak and valley of the load is reduced, and the peak power utilization pressure is reduced.

The invention provides a method for estimating the non-point source pollution load of a northern plain farmland area based on rainmaking experiments, and belongs to the field of agricultural non-point source pollution loading capacity estimation. The method mainly comprises the following steps: 1), field scale: carrying out rainmaking simulated experiments, monitoring rainfall capacity, rainfall duration and runoff coefficient, monitoring pollutants of collected runoff water, mastering surface runoff and pollutant output characteristics of a farmland in a research plot, confirming a localized output coefficient, and establishing localized non-point source output characteristic database; and 2), catchment scale: establishing a perfect output model database according to related data, and carrying out non-point source pollution load model estimation. The non-point source pollution loading capacity (including surface generation loading capacity, flowing into river loading capacity and entering into receiving water loading capacity) of the farmland area is calculated according to a formula; and the spatial distribution is analyzed. According to the method, accuracy for non-point source pollution load estimation of the farmland area can be improved, and decision support is provided for non-point source pollution identification and pollution control.

Method, system, and programs for balancing work load in a distributed system. A plurality of multi-dimensional load metrics are received from a plurality of resource units in the distributed system. Based on the received plurality of multi-dimensional load metrics and a global statistical load model, a load deviance for each resource unit is computed. The plurality of resource units in the distributed system are then ranked based on the load deviance of each resource unit. At least one load balancing action is further determined based on the ranked resource units and at least one load balancing policy.

The invention discloses a constructing method of a nerval net generalized inversing bearingless permanent magnet synchronous motor decoupling controlling device, which takes two Clark inverse transformations, two electric current tracing type inverters, a bearingless permanent magnet and a load model as a whole to form a composite controlled object, a nerval net generalized inverse of the composite controlled object is formed through adopting static nerval net added with a plurality of linear links, then the nerval net generalized inverse is reversely arranged before the composite controlled object to form a generalized pseudolinear system, the generalized pseudolinear system is decoupled to three single input and output subsystems through linearization, finally a nerval net generalized inverse, the two Clark inverse transformations and the two electric current tracing type inverters are all formed to a nerval net generalized inversing bearingless permanent magnet synchronous motor controlling device, the controlling device can not only realize dynamic decoupling between a radial position system of a motor and torque moment system and between radial forces, but also be taken as a nonlinear open-cycle controlling device to use directly, and stable suspension and operation of a rotor of a motor can be ensured.

The invention discloses a uniform and independent variable pitch hybrid control method for a megawatt horizontal axis wind turbine based on master control, namely, when the rotation speed deviation of a power generator is larger, a uniform variable pitch control manner is adopted; and when the rotation speed deviation is smaller, an independent variable pitch control manner is adopted to drive anelectrical servo variable pitch mechanism to drive a blade to finish a variable pitch action. During the uniform variable pitch control, a variable pitch command sent by a wind turbine master controlis a variable pitch preset command for each blade; and during the independent variable pitch control, model transformation is performed on the variable pitch command sent by the wind turbine master control to obtain a corresponding average wind speed, calculation and control are performed through a shimmy load and waving load model in combination with respective space position of each blade to obtain the respective variable pitch command for each blade. Both a uniform variable pitch controller and an independent variable pitch controller take the variable pitch command sent by the wind turbine master control as an input value of the controller, so that good compatibility and generality of the overall wind turbine are guaranteed, the advantages of quick response of the uniform variable pitch control and high precision of the independent variable pitch control are integrated, and the purposes of stabilizing output, optimizing power, reducing and balancing blade load, reducing spindle vibration, improving the dynamic stability of the wind turbine and prolonging the service life of the wind turbine are achieved.

The invention discloses a substation load model parameter prediction method based on daily load curves. The substation load model parameter prediction method comprises the steps of: firstly, carrying out load prediction by utilizing substation and user daily load data provided by a power distribution network automation platform, so as to obtain daily load curves of a substation and various kinds of typical users in a to-be-predicted day; secondly, identifying typical user composition proportion according to the obtained daily load curves of the substation and various kinds of typical users in the to-be-predicted day, so as to obtain various kinds of typical user composition proportions of the substation in the to-be-predicted day; thirdly, forming proportional weight by utilizing typical equipment element parameters and typical equipment to obtain load model parameters of the typical users; finally, and combining the load model parameters of the typical users with the various kinds of typical user composition proportions to form proportional comprehensive weight, so as to obtain substation comprehensive load model parameters in the to-be-predicted day. The load model parameters predicted by adopting the substation load model parameter prediction method can satisfy accurate power grid simulating calculation requirements, can increase simulating calculation results and decision-making accuracy, and can improve economical efficiency and security of a power grid.

The invention relates to a real-time cold load determination method of an air-conditioner room. The method is as follows: on the basis of the heat balance process of a room system, determining a cold load model structure, measuring the actual conditions of real-time cold supply amount input of an air conditioner and room temperature response, identifying model parameters, establishing a real-time cold load model, and calculating real-time cold load in the air-conditioner room. By utilizing the real-time cold load determination method, precise and reliable real-time cold load requirement data can be provided for operation and control of the air conditioner, the problems that the heat-transfer mechanism modeling method and the prediction method need a large amount of priori knowledge and historical data and is difficult to cover dynamic influence factors of the load and the like are avoided, and the real-time cold load requirement of the air-conditioner room can be reflected in real time. The real-time cold load determination method is wide in application range and strong in real-time property, and can be widely applicable to the aspects of energy conservation control at the operating stage of the air conditioners and energy conservation modification of the air conditioners of old buildings and the like.

Fully automatic true triaxial tunnel and underground project model test system, including a triaxial loading device for loading model test piece, automatic data collection and analysis device, power system and control system; triaxial loading device includes test bench, vertical loading system, horizontal front and back, and left and right loading systems, and the vertical, horizontal front and back, and left and right loading systems apply three-way pressure to model test body; test bench functions for supporting, fixing, and providing counter-force; automatic data collection and analysis device includes micro optical fiber sensor embedded in model test piece, optical fiber monitoring system, micro pressure box and strain brick, and can collect multi-field information.

The invention relates to an integrated test simulation system for a spacecraft attitude control algorithm and belongs to the computer simulation technology and application technical field. The integrated test simulation system includes a controller, a measurement model, an actuator model, a spacecraft attitude dynamic model, an antenna model, a sailboard model and a load model, wherein the controller includes a mode management module, a path optimization module, a closed loop control module and an accessory monitoring module. According to the system of the invention, the components of the system are configured based on a universal satellite platform; modeling is performed on system equipment related to typical attitude control and dynamic characteristics; and a simulation on-orbit simulation environment supporting modularized applications can be provided for the control algorithm; near-earth orbit satellite mission modes are preset in the mode management module, and a user can select one kind of near-earth orbit satellite mission mode to fast establish a simulation scene, and test data is of practical significance; the path optimization module provides a function for planning paths of spacecraft attitude maneuver, and therefore, the performance of a closed-loop control mechanism can be improved.

The invention relates to a method for estimating the nonpoint source pollution load of a village adjacent to a river. The method comprises the following steps: 1) basic information collection, in which average rainfalls R1, R2 and R3 of years of accumulation for light rain, moderate rain and heavy rain to rainstorm in a certain place, village area A and other basic situations are acquired; 2) field detection, in which, every runoff coefficient, runoff duration and runoff yield area of rainfall duration, rainfall capacity and rainfall runoff of an effective rainfall number are detected, and chemical oxygen demand, total nitrogen and total phosphorus of a collected water sample are detected; and 3) nonpoint source pollution load model estimation, in which, the annual pollution loads of chemical oxygen demand, total nitrogen and total phosphorus of nonpoint source pollutants of the village by the river are calculated by adopting a formula. The calculation method provided by the inventionhas more guidance significance, and is convenient to develop related control and management measures.

The invention relates to a multi-target synergic planning method considering a charging station and a distributed power supply for a power distribution network. The method comprises the steps of considering uncertainty of the distributed power supply, analyzing a wind light power generation output rule, and building a multi-scene distributed power supply and load model according to season and timesequence characteristic; building an electric vehicle road traffic network model, considering traffic flow distribution and traffic network layout, calculating traffic economic benefit according to traffic flow captured by an electric vehicle charging station and average waiting time of a user, and allowing the power distribution network to be coupled to the traffic network; and comprehensively considering the distributed power supply and electric vehicle charging site selection and sizing, and building a multi-target synergic planning model by planning lowest total cost and optimal network node voltage mass as an upper-layer target and minimum distributed power supply removal quantity expected value as a lower-layer target. By the method, the running economy and the electric energy quality of a power grid are improved, moreover, the traffic congestion caused by construction of the charging station is prevented, and the stability of the power system is improved.

The invention relates to an engine transient air inflow estimation method based on model. The invention is characterized in that the method includes the following physical models and computing methods: acquisition and processing of inlet pressure sensor signal, a main aeration model based on speed-density method, a secondary aeration model based on throttle valve flow characteristic, a throttle valve angle estimation model, an inlet air pipe dynamic load model and estimation of volumetric efficiency; calculation process is that the secondary aeration model and the throttle valve angle estimation model are sequentially calculated in 10ms task and the current inlet pressure, the main aeration model, the inlet air pipe dynamic load model and the volumetric efficiency estimation model are calculated in tooth-missing interruption. Control accuracy is improved, thus avoiding the phenomena that torque responsiveness is poor under transient working condition and emission is worsen.

A controller for an AC electric motor, includes a Feed Forward Torque Controller and a load model. The Torque controller directly derives a torque related component of applied motor voltages from a signal representing a torque command input T* and at least one motor parameter. The load model derives a motor speed value including a model of motor speed behavior of the AC electric motor to provide an output signal which represents the motor speed of the AC electric motor. This motor speed output signal is used in determining a frequency of rotation of an applied motor voltage vector. Where an input to the load model is the signal representing the torque command input T*, the load model uses the signal representing the torque command T*, at least over a part of an operating speed range of the AC motor which includes zero speed, to determine the motor speed output signal.

The invention discloses a load simulation device used for electric power test and a control method for a system thereof. The load simulation device comprises a drive motor and a control module, an electric vehicle speed control module, and a load motor and a control module. The electric vehicle speed control module is a vehicle load mathematical model. The drive motor is a permanent magnet synchronous motor. The load motor is a direct current motor. The load simulation system calculates the target simulation speed of the system based on the drive torque of the electric vehicle drive motor andthe load model of a vehicle. The target simulation speed is used as the target rotation speed of the load motor coupled to the drive motor to control the speed of the load motor. According to the invention, the control precision is high; outdoor driving is not affected by the weather environment; the research and development test level of a pure power vehicle powertrain and key technologies thereof is improved; the development cycle of the powertrain and related components thereof can be greatly shortened; and capital investment is reduced.

The invention relates to a parameter identification based multi-motor servo system synchronization and tracking control method. The parameter identification based multi-motor servo system synchronization and tracking control method comprises the steps that 1, a multi-motor driven servo system containing unknown parameters is analyzed, and a mathematic model of the multi-motor driven servo system containing unknown parameters is established according to a motor structure and a physical law; 2, a load model established in the step 1 is analyzed, and unknown parameters in the load are estimated by utilizing a variable-gain self-adaptive parameter identification method; 3, synchronization and tracking control is conducted on the multi-motor driven servo system by utilizing neural network integral sliding-mode control algorithm according to a parameter identification result obtained in the step 2. The control method can ensure the steady-state accuracy of synchronization and tracking, effectively ensure transient-state and steady-state performance of parameter estimation, decrease the complexity and calculated quantity of algorithm design and effectively improves the response speed and robustness of the multi-motor driven servo system.

The invention relates to a 3D model rendering display method. The 3D model rendering display method comprises steps of determining whether a root node of each sub-block in an established 3D model is visible according to position information of a current viewpoint; partitioning the 3D model according to a three-dimensional coordinate direction into a plurality of sub-blocks, wherein each sub-block generates a corresponding adaptive tree LOD according to a hierarchy and data quantity information of each; according to the self-adaptive tree LOD, performing recursive traversal on a sub-tree from a visible root node and performing LOD visibility determination on all nodes under the root node; performing visibility determination and LOD accuracy test on all nodes under the root node layer by layer according to the hierarchy to obtain a corresponding hierarchy of a node which satisfies visibility and an LOD accuracy requirement; loading model data corresponding to the hierarchy satisfying the requirements; and rendering and displaying the 3D model. The invention also discloses a 3D model rendering display system, which solves defects of the LOD strategy in the prior art.

The invention discloses an intelligent bridge monitoring method based on traffic flow control, which is characterized in that: the traffic flow control is introduced into bridge monitoring, a method combining monitoring and forecasting analysis of vehicle load flow, forecasting analysis of bridge structural mechanics response, real-time monitoring of bridge structural safety condition and active control of the traffic flow is adopted, and a reasonable vehicle load model is established through monitoring and forecasting analysis of the vehicle load to be on a bridge so as to perform the forecasting analysis of the bridge structural mechanics response and pre-evaluation of safety condition, and control the traffic flow according to a pre-evaluation result; the bridge safety condition is comprehensively evaluated through bridge theoretical calculation and the analysis of a real-time monitoring result, and the traffic flow is controlled according to an evaluation result; and the active control of the traffic control effectively avoids the damage caused by extra bridge load, prolongs the service life of the bridge, and can reasonably control the traffic flow in an allowed range of ensuring bridge operation safety in special conditions such as strong wind, earthquake and the like.

The invention relates to a high-efficiency multi-detail level rendering method for a three-dimensional digital city. Its main technical characteristics include the following steps: exporting a three-dimensional model based on the triangular surface area to establish a hierarchical index; taking the triangular surface area as the basis and dynamically loading and rendering the three-dimensional view distance Model. The invention has a reasonable design, based on the area of ​​the triangular surface combined with dynamic loading and rendering of the sight distance, avoiding the consideration of the internal constraints of the three-dimensional architectural model, while retaining the correct corresponding relationship of the texture of the three-dimensional model, and reducing the volume of the model in the process of model export At the same time, based on the size of the triangle area, the hierarchical grading of the 3D model is realized. When the viewpoint is far away, only relatively large area patches can be seen. When the viewpoint is close, there are more and finer triangle meshes. In this way, it meets the requirements of real-time rendering of large-scale 3D scenes, and solves the problem that architectural rendering in large-scale 3D digital cities relies heavily on computer hardware.

The invention discloses a method for evaluating random intermittent DG optimized integration based on the random optimal power flow. The method for evaluating the random intermittent DG optimized integration based on the random optimal power flow comprises the following steps that (1) a mathematic model for construction and operation of an active distribution network is established, wherein the mathematic model comprises an objective function which fully considers construction cost and operating cost of the active distribution network and constraint conditions for operation of the active distribution network; (2) the operating state of the active distribution network is simulated based on the Monte Carlo simulation method and the optimal power flow is calculated, wherein the operating state of the active distribution network is simulated and the optimal power flow is calculated mainly for full consideration of the randomness and the time sequence of DG and a load, the Monte Carlo simulation method is used for simulating the distribution of the random variables such as the wind speed and the illumination intensity in several years based on a DG and load model, and the state variables, such as the branch flow, the DG output and the power loss, in per hour are accurately calculated by means of the optimal flow according to the simulating state; (3) the economical efficiency of the active distribution network is calculated, wherein calculation for evaluation of the economical efficiency of a certain DG integration scheme for the active distribution network is conducted mainly.

The invention discloses a method and a system for distribution network load parameter identification, relates to the technology of computers and the technical field of electricity monitoring and particularly relates to the field of electricity special planning and the technical field of electricity system stabilizing analysis. The method comprises steps of preprocessing load parameters and classifying nodes; identifying load model parameter vectors in a distribution network; and processing load model parameter vectors optimally. By the aid of the method and the system, the cluster and the generalization of a main variable load model can be achieved, and the load model identification which is subjected to polymerization based on different voltage levels and outlets can be achieved. The method and the system are suitable to electricity distribution networks such as city distribution networks, oil field distribution networks and rural distribution networks.

The invention relates to the technical field of steering control of vehicles and discloses a steer-by-wire feeling simulation control method which comprises the following steps of calculating a steering resistance moment by constructing a steering load model through dynamics, and calculating a steering load moment by constructing a load state observer through an output torque of a steering motor;obtaining a comprehensive output torque according to the steering resistance moment and the steering load moment; establishing an electric power-assisted steering system model, and calculating a power-assisted steering output torque; and obtaining a road feeling moment by combining the power-assisted steering output torque and the comprehensive output torque, and then feeding road information backto a road feeling device. In the steer-by-wire feeling simulation control method disclosed by the invention, by integrating the advantages of construction of the steering load model with the dynamicsand construction of the load state observer and complementing the insufficiency of the two, a relatively comfortable comprehensive output torque close to real is obtained, and thus the power-assistedsteering output torque is calculated in combination with the electric power-assisted steering system model for road information feedback to the road feeling device.