6results about How to "Compensation for non-linearity" patented technology

The application discloses a self-adaptive thermometer calibration method, which comprises the following steps: placing a thermometer to be calibrated and a high-precision reference temperature and humidity device in a same closed constant-temperature and constant-humidity calibration environment, and starting at a same sampling frequency; presetting a temperature and humidity gradient of the closed constant-temperature and constant-humidity calibration environment, and controlling the closed constant-temperature and constant-humidity calibration environment to adjust according to the preset temperature and humidity gradient; controlling a temperature and humidity sensing module to continuously collect temperature original data for multiple times, and performing sliding average filtering processing to obtain temperature data to be calibrated of the thermometer and standard temperature and humidity data of the high-precision reference temperature and humidity device under the temperature and humidity gradient, and form a calibration data set; and performing temperature calibration operation based on the calibration data set, and obtaining calibrated temperature data by using a third-order polynomial fitting algorithm.

This invention relates to a method, apparatus, device, and medium for self-calibration error compensation in TMR current acquisition. The method dynamically injects a reference signal into the TMR current acquisition circuit through a built-in standard signal excitation source module; synchronously acquires the mixed response of the original signal and the reference signal; separates the original signal and the reference signal in the mixed response using digital signal processing technology to obtain the measured values ​​of the original signal and the reference signal; analyzes the difference between the measured values ​​of the reference signal and the reference signal in real time, establishes a multi-dimensional error vector, and obtains a dynamic error compensation matrix. The dynamic error compensation matrix includes a compensation amplitude term, a compensation phase term, and a compensation harmonic distortion term, with adaptive weight coefficients for each term determined based on the signal-to-noise ratio, phase difference, and frequency, respectively; and dynamically corrects the measured value of the original signal based on the dynamic error compensation matrix to achieve adaptive error compensation. Compared with existing technologies, this invention has advantages such as the ability to achieve adaptive calibration.

The invention relates to a TMR current acquisition self-calibration error compensation method, device and equipment and a medium, and the method comprises the steps: dynamically injecting a reference signal into a TMR current acquisition loop through a built-in standard signal excitation source module; synchronously acquiring the mixed response of the original signal and the reference signal; separating an original signal and a reference signal in the mixed response based on a digital signal processing technology to obtain an original signal measurement value and a reference signal measurement value; the difference between the reference signal and the reference signal measurement value is analyzed in real time, a multi-dimensional error vector is established, an error dynamic compensation matrix is obtained, the error dynamic compensation matrix comprises a compensation amplitude item, a compensation phase item and a compensation harmonic distortion item, and the self-adaptive weight coefficients of the items are determined based on the signal-to-noise ratio, the phase difference and the frequency; and dynamically correcting an original signal measurement value based on the error dynamic compensation matrix to realize adaptive error compensation. Compared with the prior art, the method has the advantages of being capable of achieving self-adaptive calibration and the like.

A method and a sensor system for calibrating a magnetic sensor system are provided. The position of the magnetic structure varies within a calibration range when measuring at least four components of the magnetic field generated by the magnetic structure having a main orbit and a nonius orbit. The uncalibrated position of the structure is determined and compared with a corresponding reference position. A periodic function is obtained by calculating two coefficients of a function such that the function applied to the uncalibrated position minimizes the error caused by the comparison with the reference position.

The present invention discloses a method and system for model-free predictive control of a permanent magnet synchronous motor using current differential update. The method includes: estimating the inductance to obtain dq Axis estimated inductance; for any voltage vector among the eight basic voltage vectors, combined with the current difference at time k and dq The axis estimated inductance performs current differential without stagnation update to calculate the voltage vector corresponding to dq Axis current difference; the current difference value function is applied to each voltage vector corresponding to dq The shaft current is differentially calculated, and the voltage vector with the smallest result is selected as the optimal voltage vector for compensation and then used as the control signal of the inverter. The present invention aims to achieve high-performance motor control, get rid of the dependence on parameters, improve the robustness of the system, solve the problem of current differential update stagnation, ensure the accuracy of predictive control, reduce the complexity of calculation, and improve the operating performance of permanent magnet synchronous motors.

The invention discloses a contact type displacement sensor and a displacement measurement method, and the sensor is characterized in that the sensor comprises a displacement transmission mechanism which is used for responding to the movement of a measured object to generate displacement in a first direction; the grating ruler is arranged to synchronously move along with the displacement transmission mechanism in the first direction; the transmitting module and the linear array image sensor are oppositely arranged on two sides of the grating ruler along a second direction crossed with the first direction, and the light transmitting module is used for transmitting a collimated light beam to the grating ruler; the linear array image sensor is used for receiving optical signals penetrating through the plurality of light-transmitting areas and outputting electric signals corresponding to the optical signals; the detection calculation module is connected with the linear array image sensor and is configured to determine a displacement measurement result of the grating ruler according to the electric signal; the output display module is connected with the detection calculation module and used for outputting a displacement measurement result, the problems that a traditional contact type displacement sensor is low in response speed, and the measurement precision is unstable due to temperature change are solved, and the measurement precision is improved.