12results about How to "High precision output" patented technology

The invention discloses a Gsensor automatic test method aiming at IC environment deviation, and relates to the technical field of inertial sensors, the method comprises the following steps: S1, placing a Gsensor in a constant acceleration field, recording output data under different power supply voltages, S2, establishing a correction model between the power supply voltages and sensor output based on the recorded output data, and S3, carrying out Gsensor automatic test according to the correction model. S3, the power supply voltage is adjusted according to the correction model, so that Gsensor output is kept stable under different power supply voltages, and S4, power supply voltage fluctuation is monitored and compensated in real time, and the accuracy of a measurement result is ensured. According to the Gsensor automatic test method for the IC environment deviation, measurement errors caused by power supply fluctuation are remarkably reduced, the stability of Gsensor output signals is improved, the test result is more accurate and reliable, and the problem of how to compensate sensor output fluctuation caused by different power supply voltages so as to solve the measurement errors caused by poor power supply stability is solved.

The invention provides a motor simulator control system and method based on an ARM and double-FPGA architecture, and a computer readable storage medium, and mainly solves the technical problem that the test precision of an existing motor simulator on a motor controller is reduced due to the fact that the simulation precision of the existing motor simulator on a real motor is not enough. Wherein the control system comprises an ARM control unit, a centralized control FPGA unit and a rotary transformer FPGA unit, the ARM control unit and the centralized control FPGA unit mainly realize functions of a motor control algorithm, PWM output and the like, the rotary transformer FPGA unit mainly undertakes a rotary transformer simulation function, and the three units jointly form a whole set of motor simulator model algorithm. Therefore, accurate simulation and high-precision output of the motor model are realized.

The invention discloses an oil flash point online prediction method based on multiple physical quantities and temperature and use duration correction, and belongs to the field of oil performance monitoring and equipment health management. The online prediction method comprises the following steps: collecting multi-physical-quantity sensing signals of oil in the operation process of target equipment, and executing timestamp synchronization, interpolation alignment, abnormal value elimination and sample matrix construction; performing benchmark processing on the temperature sensitive variable by using the temperature correction model; the oil temperature is monitored in real time, the accumulated high-temperature operation duration when the temperature exceeds a threshold value is calculated, time correction is conducted on a flash point according to an empirical formula and an exponential decay model, and the flash point decline effect caused by aging is compensated; taking the multi-physical quantity vector after temperature and oil age correction as input, constructing a multi-model fusion prediction framework, and generating a flash point prediction value through a weighted fusion or stacking strategy; and comparing the predicted flash point with a baseline value, executing hierarchical early warning, generating a structured evidence chain log, and recording input parameters, a model version, a prediction result and threshold setting.

The invention relates to the technical field of energy storage converter control systems, and discloses an energy storage converter control system device. Comprising a power supply circuit module, a three-phase three-level IGBT drive circuit module, a simulation and conditioning circuit module, a metering circuit module, a main processor module, an isolation communication module, a communication processor module, a coprocessor module and a control interface module. According to the invention, by adding a metering sampling channel and a metering calculation function, a coprocessor is used for calculation, the burden of a main processor DSP is reduced, a power correction large closed-loop algorithm is added to software, and the problem that the output power of an energy storage converter is different from the metering value of an ammeter is solved, so that the countercurrent problem of an energy storage system and the problem that the energy storage system cannot be fully charged within limited time are solved; an alternating current and direct current dual power supply strategy is adopted, it is guaranteed that control power cannot be powered off in the power grid power failure or battery side tripping state in the operation process of the energy storage converter, the explosion risk caused by power failure is avoided, and the purpose of high-precision output is achieved.

The utility model discloses a stator winding tool, belongs to the technical field of stator inner wall winding, and aims to increase winding stations and improve stator winding efficiency. Comprising a servo motor, a synchronous transmission system, a workpiece station and a workbench panel, the workpiece station comprises a tool body, a pressing plate and a tool positioning body. A wire fixing column is installed on the top face of the tool body. The middle of the pressing plate is hinged to the outer wall of the tool body, the top end is bent inwards in the radial direction of an inner cavity of the tool body, and the bottom end extends through the telescopic spring to drive the top end of the pressing plate to clamp a workpiece. The tool body is installed on the tool positioning body, and the tool positioning body is rotationally installed in the bearing chamber. The two pairs of workpiece positions are installed in inner holes of the workbench panel through bearing chambers respectively. The servo motor is in transmission connection with the tool positioning body through the synchronous transmission system and drives the tool positioning body to rotate. The servo motor drives the two workpiece positions to work simultaneously, the number of the stations is increased, the two workpiece positions work synchronously, the winding efficiency is improved, the tool structure is more compact, the whole machine body is small, and the occupied area is reduced.

The invention relates to a fixed-amplitude digital-axial angle converter and a working method thereof. The digital-axial angle converter comprises a zero-crossing comparator, a sine function generator, an angle value register, an angle operation unit, a first multiplier unit, a second multiplier unit, a first digital-to-analog converter and a second digital-to-analog converter. According to the fixed-amplitude digital-axial angle converter disclosed by the invention, the input reference signal and the output coupling signal are not related in amplitude, so that isolation of signal acquisition and signal transmission is realized, and a guarantee effect on signal transmission is achieved; a digital-axial angle converter is realized in a digital mode, and the change rate of an analog angle is improved. According to the method, the requirement for an analog multiplier is reduced, more universal digital components are used instead, the cost is reduced, meanwhile, easy-to-actual-effect links are reduced, sine and cosine numerical values are calculated by using a table look-up method, and the digital operation rate is greatly improved.

The utility model discloses a resistor switch matrix which comprises a plurality of resistor groups which are sequentially connected in series, each resistor group comprises a first resistor, a second resistor, a third resistor and a fourth resistor which are sequentially connected in series, and a control switch is connected between every two resistors in parallel. The resistance switch matrix further comprises a control system used for controlling the control switches to be turned on and turned off, and the control system is used for controlling the control switches to be turned on and turned off so as to output different resistance values. According to the utility model, through a programmable resistance switch matrix, different resistance value output effects can be freely and flexibly realized, NTC and PTC can be simulated to show different temperatures, and different insulation resistance values can be simulated.

The present invention provides a calibration method for a digital-to-analog converter, which relates to the field of electronic engineering technology, and includes the following steps: S1: using multiple test methods to test the actual accuracy of the digital-to-analog converter to obtain digital-to-analog test data; S2: fusing all parameters in the digital-to-analog test data to obtain a comprehensive test accuracy; S3: comparing the comprehensive test threshold with its preset accuracy threshold, if the comprehensive test accuracy is less than or equal to the preset accuracy threshold, it means that the accuracy of the digital-to-analog converter does not meet the requirements, and then generating an accuracy calibration signal; S4: when generating the accuracy calibration signal, starting calibration analysis and execution processing of the digital-to-analog converter. The present invention obtains accuracy impact data and accuracy change data through calibration analysis and execution processing of the digital-to-analog converter, obtains parameter compensation coefficients through such fusing processing, and adjusts the internal settings of the digital-to-analog converter according to these coefficients, so as to realize dynamic optimization of the digital-to-analog converter and improve the stability and reliability of the digital-to-analog converter.

The application belongs to the technical field of integrated circuits, and discloses a temperature-approximate-independent current reference circuit, which comprises a starting module, a reference current generating module and an output current generating module. The input end of the reference current generating module is connected with the starting module, and a feedback signal is applied to the starting circuit module. The input end of the output current generating module is connected with the output end of the reference current generating module. On the basis of the reference current output, the reference current can be amplified or reduced by one or several groups of current mirrors, so as to obtain one or several groups of temperature-approximate-independent output currents. The application can work in a wide voltage range and output a temperature-approximate-independent current.

The present invention relates to the technical field of permanent magnet synchronous motor control. The present invention provides a permanent magnet synchronous motor adaptive high-order terminal sliding mode observer control method. The method comprises: establishing a motor in α‑β Expanded equations in a two-phase stationary coordinate system; design a high-order terminal sliding surface based on the expanded equation; design an adaptive gain; design the current signal control law and back-EMF signal control rate of the high-order terminal sliding surface based on the adaptive gain, expanded equation and high-order terminal sliding surface; obtain the adaptive gain and control gain k The constraint conditions of the adaptive gain are defined; the adaptive high-order terminal sliding mode observer is designed based on the current signal control law and the back electromotive force signal control rate; the electrical angular velocity and the rotor electrical angle are obtained based on the orthogonal component phase-locked loop method; the operation of the motor is controlled based on the field-oriented control and space vector pulse width modulation. The present invention enables the control system to maintain robustness and high-precision output at the same time under high dynamic response requirements.

A tool management and control method and system of a numerical control machine tool relate to the technical field of numerical control machine tools. The method comprises the following steps: S1, collecting tool signals and preprocessing; S2, constructing a heterogeneous graph, and calculating the feature correlation between nodes by using a graph attention aggregation mechanism; S3, performing dilated convolution and gated residual operation on the embedded tensor on a GPU; S4, constructing a tool wear evaluation network, and performing channel and time sequence weighting on the space-time feature matrix; S5, according to the wear confidence, an improved hierarchical matching algorithm is used to match the embedded tensor and the processing task demand vector; S6, inputting the optimal tool sequence into the numerical control machine tool terminal, and completing parallel scheduling and tool position mapping; S7, after processing is completed, updating the tool whole life cycle database according to the health score, and generating a data report containing replacement suggestions and maintenance plans. The present application realizes accurate identification and intelligent scheduling of tool wear state, and significantly improves tool utilization and numerical control machine tool operation efficiency.

The invention discloses a signal processing method and device supporting bipolar signal reading, equipment and a storage medium, and the method comprises the steps: obtaining an original output current which is a dot product result containing positive and negative values and output in the back propagation process of a neural network; in the simulation domain, mapping the original output current to obtain a positive output voltage; performing analog-to-digital conversion on the output voltage to obtain a corresponding digital signal; and in the digital domain, carrying out recovery processing on the digital signal to obtain a target signal sequence corresponding to the original output current. According to the invention, in an analog domain, a dot product result containing positive and negative values and output in a back propagation process of a neural network is mapped into an output voltage of a positive value, and then analog-to-digital conversion is carried out on the output voltage in a digital domain to obtain a digital signal for recovery processing. The technical problem that in the prior art, in the back propagation process, a bipolar signal containing positive and negative values is read out from the output end of a memory cross array, and expenditure and energy consumption are large is solved.