862 results about "Load model" patented technology

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.

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.

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.

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 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 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 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.

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 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 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.