144 results about "Linearity error" patented technology

The invention relates to a temperature drift compensation method for a pressure instrument, and belongs to the technical field of pressure instruments, and the method comprises the following steps: obtaining output signal values of a pressure sensor at different temperature points, and building a temperature-output signal data set; constructing a polynomial fitting model as a temperature drift compensation model, fitting a temperature coefficient through a least square method, and storing the coefficient into an instrument memory; original values of temperature and pressure are collected in real time and substituted into the model to calculate a compensated pressure value. The method also supports various strategies such as temperature sensor calibration, nonlinear error compensation, Kalman filtering noise reduction, dynamic temperature change rate compensation and neural network compensation, and has self-calibration and remote updating functions. According to the invention, the measurement precision and stability of the pressure instrument in a variable-temperature environment are significantly improved, and the method is suitable for high-precision industrial measurement and intelligent monitoring scenes of the Internet of Things.

The invention relates to the technical field of precise motion control, in particular to an XY motion platform positioning error compensation system and method, which extracts spatial-temporal characteristics through multi-modal data fusion and normalization processing in combination with a neural network hybrid model, and dynamically manages time sequence errors by using a forgetting gate, an input gate and an output gate. And a compensation parameter is updated by adopting an online adaptive training mechanism of error source classification. The problems that in the prior art, due to mechanical abrasion and thermal deformation of an encoder, precision is attenuated, nonlinear errors are difficult to process through a PID algorithm, pure vision positioning is prone to interference and complex in calibration, and an online learning mechanism is lacked can be effectively solved, the positioning comprehensive error is reduced to the micron order, the anti-interference robustness and the real-time compensation capacity of a system are improved, and the system reliability is improved. And the positioning precision and the production efficiency are obviously improved.

The invention relates to the technical field of adaptive filtering, discloses a variable-step robust adaptive filter and a filter network, and aims to solve the technical problem that a traditional adaptive filter cannot effectively consider convergence speed, steady-state precision and impulse noise interference resistance. A non-linear error factor is introduced, large errors caused by impulse noise are effectively suppressed through a generalized function form of the non-linear error factor, and the robustness of the filtering process is remarkably improved; meanwhile, a variable step length mechanism is provided, the theoretically optimal candidate step length is calculated on line by minimizing the mean square deviation of the next moment, and a self-adaptive target variable step length is generated through truncation and time smoothing processing, so that dynamic balance is realized between rapid convergence and low-steady-state maladjustment. According to the invention, the filter is expanded to the distributed network, each node follows a diffusion strategy of first updating and then combining, and global information sharing and performance collaborative optimization are realized by using a combined coefficient.

The invention belongs to the technical field of sensor data fusion, and particularly relates to a DNN-EKF-based multi-sensor heterogeneous data fusion method, a DNN-EKF-based multi-sensor heterogeneous data fusion program, equipment and a storage medium. The method comprises the following steps: predicting a current carrier pose and noise covariance matrix according to a last multi-sensor heterogeneous data fusion result based on an EKF model; for each sensor, pre-training a DNN model, and obtaining a nonlinear error compensation item according to a residual error between carrier pose prediction and observation data of each sensor; and filtering observation data of each sensor by adopting extended Kalman filtering, and balancing a nonlinear error compensation item and an extended Kalman filtering result by adopting a learning weight. According to the method, through combination of DNN and extended Kalman filtering, IMU, VO and GPS heterogeneous data can be effectively fused, the problem of non-uniform data time of different sensors is solved, sensor noise can be dynamically adjusted, and the accuracy of a data fusion result is improved.

The invention discloses a non-linear error correction method for an electromagnetic flowmeter based on machine learning. The non-linear error correction method comprises the steps that 1, original monitoring data, working condition parameters and a reference calibration flow value of the electromagnetic flowmeter are collected; 2, performing data preprocessing to obtain a standard feature vector sequence and an original error sequence; 3, performing cycle and trend error feature modeling on the standard feature vector sequence through an improved TimeMixer network; 4, taking the original error sequence as a supervision label, and calculating a joint loss function; 5, designing a double-stage error correction strategy to carry out trend correction and period correction, and generating a corrected flow value sequence; 6, executing physical consistency constraint on the corrected flow value sequence to generate a credible corrected flow value sequence; and step 7, updating the improved TimeMixer network and the credible correction flow value sequence. According to the invention, the measurement precision and the operation stability of the electromagnetic flowmeter under non-linear interference are improved.

The invention provides a front-end readout electronics circuit for a silicon PIN detector. The front-end readout electronics circuit solves the technical problems that an existing front-end readout circuit cannot meet the requirements for quick response, dynamic adjustment of the dynamic range and small nonlinearity error. The charge sensitive amplifier comprises a charge sensitive amplifier and a forming module connected with the charge sensitive amplifier, and the charge sensitive amplifier receives an analog charge signal of the silicon PIN detector and converts the analog charge signal into an analog voltage signal according to a certain gain; the gain is controlled by a feedback capacitor which is dynamically controlled by a register; the reset module is connected in parallel to two ends of the charge sensitive amplifier and is used for releasing the accumulated charge quantity of the charge sensitive amplifier; the forming module performs filtering forming on the analog voltage signal to obtain a Gaussian-like waveform; the forming module comprises a fast forming unit and a slow forming unit, and the fast forming unit is sequentially connected with a comparator and a digital-to-analog converter; the slow forming unit is sequentially connected with the sampling hold circuit, the digital control center module and the analog-to-digital converter. The method can be widely applied to the technical field of particle detection.

The invention discloses a grooving positioning system based on a paperboard digital intelligent grooving machine, relates to the technical field of grooving machine positioning adjustment, and solves the technical problems of insufficient transverse deviation adjustment precision and incomplete longitudinal deviation compensation. Proportional, integral and differential parameters of the incremental PID are dynamically adapted according to the deviation, compared with a fixed parameter PID, the adjustment response time is shortened, the overshoot is controlled within + / -0.01 mm, the transverse positioning precision is improved, and the high-precision grooving requirement is met. A total error model of a linear error and a periodic error is established through a laser interferometer for encoder error calibration. And in combination with a PLC position-compensation amount comparison table, encoder positioning errors are reduced, dynamic environment compensation fits a paperboard stretching model through a humidity sensor, an equipment thermal deformation model is established through a temperature sensor, temperature and humidity influences are comprehensively compensated, and the longitudinal positioning precision fluctuation range is narrowed.

The invention provides an acquired data error compensation method for a small-sized thermohaline instrument, belongs to the technical field of electrical digital data processing, and realizes accurate error compensation by constructing a multi-stage neural network tree structure. According to the method, firstly, errors are classified into system errors, random errors and environment interference errors, and second-level and third-level subdivision is carried out to form a complete error classification system; based on the classification system, an optimal path selection function is adopted to dynamically determine a compensation strategy, and corresponding models are selected from a pre-trained miniature neural network library to form a compensation chain. All compensation model structures are subjected to optimization design, different network structures and parameter configurations are adopted for linear errors, nonlinear errors, noise errors, fluctuation errors, temperature errors and salinity mutual interference errors, the total parameter number is controlled to be at a low level, and efficient operation on small equipment is ensured. The technical problem that in the prior art, a small-sized salt thermometer is insufficient in measurement precision under the condition of low energy consumption is solved.

The invention discloses a nano-scale displacement real-time compensation measurement method and system based on double-frequency laser interference, and belongs to the technical field of precision measurement. In order to solve the problems that three error sources of environmental drift, periodic nonlinear error and dynamic vibration are mutually coupled and have high real-time requirements in dual-frequency laser interference measurement, a multi-source error unified state space model including measured displacement, an air refractive index parameter, a nonlinear error parameter and a vibration disturbance quantity is constructed. A high-dimensional state vector is divided into a displacement-refractive index group and a nonlinear parameter group by adopting an extended Kalman filter of a grouping updating strategy, the displacement-refractive index group and the nonlinear parameter group are alternately updated in an assembly line parallel mode, nonlinear parameters are identified in real time in combination with an online recursive least square algorithm, and the state of the filter is corrected through a state coupling injection mechanism. Real-time compensation with the end-to-end delay smaller than 80 microseconds is achieved, the displacement measurement residual error is controlled within + / -0.3 nm under the composite disturbance condition, and the method is suitable for precise assembly of intelligent glasses optical assemblies.

The invention belongs to the field of electric energy meters, particularly relates to an automatic compensation calibration method for electric energy metering errors of an electric energy meter, and aims to solve the technical problems that a CORDIC algorithm is difficult to give consideration to efficiency and precision and an existing compensation method is difficult to correct multi-dimensional nonlinear errors under wide temperature and wide flow. Outputting an uncorrected x-axis component and a final accumulated phase angle, wherein the improved CORDIC iterative operation comprises M times of coarse rotation iteration and P times of fine rotation iteration; s2, performing amplitude correction on the uncorrected x-axis component to obtain a corrected instantaneous current amplitude; and S3, performing reconstruction by using the corrected instantaneous current amplitude and the final accumulated phase angle to obtain a corrected instantaneous current value, multiplying the corrected instantaneous current value by the instantaneous voltage value to obtain instantaneous active power, and performing accumulated integration on the instantaneous active power to obtain a compensated and calibrated electric energy value. According to the invention, high-precision metering performance of the electric energy meter in a wide current range and a wide temperature change range can be ensured.

The invention discloses an error compensation method of an analog-to-digital converter, a digital device and a controller, and the method comprises the steps: obtaining a to-be-compensated digital quantity and two reference digital quantities, the to-be-compensated digital quantity is obtained through the conversion of an analog signal through the analog-to-digital converter, and the reference digital quantities are obtained through the conversion of a reference signal through the analog-to-digital converter; obtaining a linear error based on the plurality of sampling values of each reference digital quantity under the condition that the reference digital quantity is within a preset effective range; and compensating the digital quantity to be compensated according to the linear error to obtain a compensated digital quantity. According to the invention, the accuracy in the ADC analog-to-digital conversion process can be effectively improved.

The present invention relates to an orthogonal correction network, method and device for an angle sensor. The correction network includes: a first bypass correction network for providing a first preset correction value and a second bypass correction network for providing a second preset correction value; a first multiplier for performing a multiplication operation on a detection value of a first axis of a misaligned orthogonal coordinate and the first preset correction value to obtain a first coordinate correction detection value; a second multiplier for performing a multiplication operation on the detection value of the first axis and the second preset correction value to obtain an intermediate correction value; and an adder for performing an addition operation on a detection value of a second axis and the intermediate correction value to obtain a second coordinate correction detection value. The correction network of the present invention can completely eliminate the non-orthogonal distortion caused by a non-orthogonal sensing element array, and only two multipliers and one adder are provided, with a simple structure, small calculation amount and easy implementation. In addition, the method and device can be applied to multiple groups of sensing elements, and stable angle detection can be realized through model and coordinate conversion to eliminate non-linear errors.

The invention provides an angle calculation method and system based on a triaxial accelerometer, and relates to the technical field of inertial navigation, and the method comprises the steps: obtaining an acceleration signal and preprocessing the acceleration signal to obtain an effective acceleration component, constructing a nonlinear error feature vector, carrying out the real-time parameter identification through a recursive least square method, and building a nonlinear error compensation model. And performing dynamic correction by adopting a self-adaptive sliding time window, and finally calculating a pitch angle and a roll angle. The non-linear error of the accelerometer can be effectively inhibited, the angle calculation precision is improved, and the method has the characteristics of good real-time performance and strong adaptability.

The invention provides an exposure apparatus, an exposure method, and an alignment method. In an exposure device provided with a stage or the like, proper alignment is performed in consideration of a linear error generated along with movement of the stage. An exposure device (10) is provided with a pair of calibration scales (62, 64) on which reference marks (CM) facing each other in an X direction (main scanning direction) are disposed, and the reference marks (CM) facing each other are imaged by an alignment camera (80) while a stage (50) moves. The amount of linear error in the amount of movement of the stage (50) is detected on the basis of the amount of misalignment of the reference mark (CM) in the captured image. Then, scale correction processing is performed on the exposure data in accordance with the calculated linear error amount.

The invention discloses a millimeter wave beam tracking method, a computer readable storage medium and node equipment, and belongs to the technical field of wireless communication, and the method comprises the steps: constructing a beam pointing error interval at an initial moment; at the next moment, predicting the interval through a state transition equation; acquiring a channel observation value under the current beam pointing based on a channel model; carrying out shrinkage processing on the predicted error interval; and estimating a beam pointing angle according to the contracted interval, and transmitting the interval as priori information to the next moment so as to repeat the steps. A computer program for executing the method is stored in the computer readable storage medium. The node equipment comprises at least one processor, a memory and a bus, wherein the memory stores a program for executing the method. According to the method, the tracking performance in a nonlinear and non-Gaussian scene can be kept under the condition that the calculation load is not increased, and the method is suitable for the conditions of uncertain and incomplete channel state information introduced by multipath, analog-to-digital conversion quantization, hardware nonlinear errors and the like.

The invention discloses an aperture error and non-linear cooperative calibration circuit and method for a pipeline ADC, and relates to the technical field of mixed signal integrated circuits, the circuit comprises a pipeline ADC basic circuit and a calibration circuit integrated with the pipeline ADC basic circuit, and the calibration circuit comprises an aperture error calibration module and a non-linear error calibration module. And the aperture error calibration module dynamically adjusts the sampling clock phase of the first-stage Sub-ADC by counting a post-stage output code value histogram and combining an SAR logic feedback mechanism so as to compensate the sampling moment deviation between the first-stage Sub-ADC and the MDAC. The nonlinear error calibration module extracts errors by injecting pseudo-random jitter and utilizing double-threshold window crossing statistics, and after EWMA smooth filtering is carried out, a polynomial compensation coefficient is updated in a self-adaptive mode through an LMS algorithm, and harmonic distortion is restrained. According to the method, the linearity under high-speed and high-bandwidth application is remarkably improved, and the method has good robustness for PVT fluctuation.

The present application discloses a torque correction method, a torque correction device, a robot, and a storage medium. The torque correction method includes: obtaining a zero-bias error of a torque sensor; collecting a sampled voltage of the torque sensor under an external force using a sampling module; calculating a first torque based on the bias voltage, amplification factor, sensitivity, range, and sampling voltage of the sampling module; correcting the first torque based on the zero-bias error to obtain a second torque; determining a target correction coefficient of the torque sensor based on the second torque; and correcting the second torque based on the target correction coefficient to obtain a third torque. This method implements linear error correction of the first torque based on zero-bias correction of the first torque collected by the torque sensor, thereby improving the measurement accuracy of the torque measured by the torque sensor.

This invention provides a rapid detection method for critical linear errors of linear axes in CNC machine tools. The method is used to solve for critical linear errors of linear axes in CNC machine tools, including positioning errors and straightness errors. Based on the measurement function of a ballbar, this method ignores angular errors and does not consider the influence of other errors. Detection is performed under two designed circular trajectories. The critical linear errors are expressed and fitted using polynomials, and the coefficients are solved using the least squares method. This method can effectively and quickly obtain the positioning and straightness errors of the linear axis, which is of great significance for improving machine tool accuracy and increasing production efficiency.

The invention discloses a low-cost rapid test system for an ultrahigh-precision analog-to-digital converter, and the system comprises an upper computer which is used for generating and outputting a test instruction; according to analog-to-digital conversion results output by the to-be-tested ADC under different excitation voltages, differential linear errors and integral linear errors of the to-be-tested ADC are obtained through calculation; the test evaluation board is used for applying different excitation voltages to the to-be-tested ADC according to the test instruction; analog-to-digital conversion results output by the ADC to be tested under different excitation voltages are uploaded to the upper computer; and the power supply module is used for supplying power to the test evaluation board. According to the test system, the requirement that the resolution ratio of the excitation source is higher than that of the to-be-tested ADC is not put forward, and compared with a histogram method, the number of required samples is greatly reduced, so that the economic cost and the time cost can be reduced, and the test efficiency of the ultra-high-precision ADC is improved.

The invention discloses a magnetic tunnel junction and a TMR sensor, and belongs to the technical field of magnetic sensing. The magnetic tunnel junction comprises a substrate layer, a ferromagnetic free layer, a barrier layer, a ferromagnetic reference layer and an antiferromagnetic pinning layer, wherein the ferromagnetic free layer, the barrier layer, the ferromagnetic reference layer and the antiferromagnetic pinning layer are sequentially stacked on one side of the substrate layer; wherein the crystal face of the ferromagnetic free layer is a (110) crystal face. According to the embodiment of the invention, the linearity of the magnetic field sensing of the magnetic tunnel junction can be improved, the nonlinear error is reduced, and the TMR sensor can obtain a wider high-linearity measurement range.

The invention discloses a current calibration method for a motor drive controller. The method comprises the following steps: S1, checking a zero point sampling value under the condition that a three-phase copper bar is not electrified; s2, the three-phase copper bar outputs the maximum current, the signal collected by the sampling system at the moment is the maximum value of the sampling signal, and if the signal collected by the sampling system is not the maximum value of the sampling signal, the sampling signal at the moment needs to be calibrated; s3, calibration: sequentially sampling points and checking the output current, and if the linearity error exceeds + / -1%, checking the design of a current sampling module or the quality state of a product, and then carrying out maximum current sampling calibration again; s4, collecting a temperature compensation coefficient function call set, and feeding back a temperature value by a controller according to a temperature sampling system; and S5, writing the standard linearity and the temperature compensation coefficient into a controller for calculating the sampling current. According to the invention, current calibration is carried out on an internal current sampling module of the electric drive controller after the controller is assembled.

The invention discloses a multi-sensor nonlinear error compensation method and device and a storage medium, and belongs to the technical field of measurement, and the specific steps are as follows: obtaining data collected by multiple sensors, carrying out the preprocessing, inputting the preprocessed data into a trained and optimized SSA-DBN-LSTM hybrid model, and carrying out the training and optimization of the SSA-DBN-LSTM hybrid model; the invention further discloses a device and a storage medium for executing the method, the multi-sensor nonlinear error compensation method, the device and the storage medium are adopted, the SSA-DBN-LSTM mixed model and the DBN model are adopted to perform feature extraction on the preprocessed data, and the multi-sensor nonlinear error compensation method, the multi-sensor nonlinear error compensation device and the storage medium are obtained. The problem that a traditional method is insufficient in feature expression ability is solved. The DBN model is combined with the parameter-optimized LSTM model, and meanwhile, the advantages of depth feature extraction and time sequence modeling are utilized, so that the health state prediction accuracy is improved.

Electrode structure for a capacitive grid displacement sensor. The electrode structure comprises a sliding grid plate and a stationary grid plate. The sliding grid plate is mounted on the stationary grid plate. The sliding grid plate includes a transmitter electrode. The transmitter electrode comprises a plurality of mutually inverted trapezoidal structures. These trapezoidal structures are arranged at equal intervals along the displacement direction of the sliding grid plate. The structure is designed to reduce or even largely eliminate the abrupt nonlinear errors that arise when the edges of the insulating grooves between conventional transmitter electrodes align with the edges of the electrodes on the stationary grid plate. This improvement enables an increase in the overall measurement accuracy of a measuring instrument.Furthermore, the proposed electrode structure improves the signal-to-noise ratio of the electrode coupling, resulting in more stable measurement data.

The invention discloses a linear active-disturbance-rejection controller and a design method and a parameter setting method thereof, and the design method comprises the steps: building a gain parameter which considers the influence of the order of a controlled object on overshoot in the step response of the controller, and introducing the gain parameter into a linear error feedback control rate; an error component between the output of the linear tracking differentiator and the output of the linear extended state observer is dynamically adjusted, thereby configuring a zero point of a forward channel of the system, i.e., a zero point of a closed-loop system, thereby reducing overshoot. According to the linear active disturbance rejection controller, the input of a linear error feedback control law is provided with a gain parameter, the gain parameter dynamically adjusts an error component between the output of a linear tracking differentiator and the output of a linear expansion state observer, and therefore the zero point of a system forward channel is configured; the zero point is the zero point of the closed-loop system, so that the overshoot is reduced.

The invention relates to a static calibration system for a floating element wall surface shear stress sensor. The system comprises an electric precision displacement table, a flexible rod assembly, a micro-force probe, a mass block, a floating element and a signal processing unit, the electric precision displacement table is used for providing target force, and the target force acts on the flexible rod assembly; the flexible rod assembly transmits the received target force to the micro-force probe; the micro-force probe transmits the target force to the floating element through the mass block; the signal processing unit is used for fitting different target forces output by the electric precision displacement table and deformation quantities of the flexible flexible rod corresponding to the target forces into a first straight line, and fitting wall surface shear stresses output by the floating element corresponding to the different target forces and deformation quantity signals of the flexible flexible rod corresponding to the wall surface shear stresses into a second straight line; whether the calibrated wall surface shear stress sensor is qualified or not is judged by judging whether the linear error of the second straight line and the first straight line is within the nominal precision range of the wall surface shear stress sensor or not.

The invention relates to a capacitive flatness measuring device for an ultra-low resistance silicon wafer and a control method thereof, and belongs to the technical field of semiconductor silicon wafer detection.The capacitive flatness measuring device comprises an objective table, a transplanting table is arranged on the objective table, a rack fixedly connected with the objective table is arranged on the periphery of the transplanting table, the ultra-low resistance silicon wafer is arranged on the transplanting table, and the ultra-low resistance silicon wafer is arranged on the rack. A plurality of capacitive sensors which are arranged in a two-dimensional matrix mode and are parallel to the objective table are arranged above the objective table and on the upper portion of the machine frame, and lifting air cylinders are arranged on the capacitive sensors. And by utilizing the capacitance measurement principle, the influence of the high reflectivity of the ultra-low resistance silicon wafer is completely avoided, and the problem that an optical method fails on such materials is solved. The nonlinear error of the system is eliminated through vertical scanning fitting, and the measurement precision of the flatness of the ultra-low resistance silicon wafer is improved.

This invention claims protection for an adaptive background calibration system for pipelined ADCs, comprising: a sample-and-hold module, a first conversion unit, a second conversion unit, a low-speed, high-precision ADC, a pipelined ADC to be calibrated, an LMS adaptive filter, and a subtractor; capable of calibrating linear errors in the pipelined ADC caused by non-ideal factors such as capacitor mismatch, finite op-amp gain, and op-amp offset. By using a low-speed, high-precision ADC as a reference, connected in parallel with the pipelined ADC to be calibrated, and sending the difference between their digital outputs to a digital adaptive filter for processing, the output of the pipelined ADC continuously approximates the output of the low-speed, high-precision ADC, thereby achieving digital calibration. During this process, the normal conversion process remains unaffected and the conversion speed of the original ADC is not reduced, offering advantages such as high calibration accuracy, fast convergence speed, and strong tracking capability.

The invention discloses an oil refining key physical property parameter description method based on a nonlinear multi-round median interpolation algorithm. The method comprises the following steps: S1, collecting initial experimental data of oil refining key physical property parameters and inputting a system; s2, predicting oil refining key physical property parameters by adopting a median insertion algorithm, specifically comprising the following steps: S2-1, acquiring an actually acquired sampling sequence and an observed value sequence, and setting a multi-round median sampling coefficient M; s2-2, obtaining a point sequence to be interpolated; s2-3, performing multiple rounds of median sampling to obtain a final sampling sequence and a final observation value sequence; and S2-4, all points to be interpolated in the point sequence to be interpolated are judged to belong to sub-intervals of the final sampling sequence and the final observation value sequence, and then a predicted value is obtained through linear interpolation calculation. The method has the following effects: (1) the nonlinear error is obviously reduced; (2) dense sampling is not depended on, and the sampling cost is low; and (3) the algorithm is simple and the calculation cost is extremely low.

The invention provides an inverter nonlinear compensation method and system based on a single lookup table method, and relates to the technical field of motor control, and the compensation method comprises the steps: obtaining the original experiment data of a motor under a preset experiment condition; constructing a phase current-nonlinear error voltage single lookup table corresponding to the motor according to the original experimental data; under the fixed bus voltage and the fixed PWM frequency, when the motor operates normally, determining corresponding nonlinear error voltage data according to the expected phase current of the motor based on the single lookup table; and performing Clarke conversion on the three-phase nonlinear error voltage to obtain an alpha-beta-axis compensation voltage of the motor, and superposing the alpha-beta-axis compensation voltage into an alpha-beta-axis control voltage of the inverter to complete nonlinear compensation of the inverter. According to the method, the early-stage experiment calibration and data processing flow is greatly simplified, meanwhile, the dependence on the computing power of a processor is reduced, stable operation on medium and low computing power hardware can be achieved, and the engineering implementation cost is reduced.

The invention discloses a zero setting and calibration method of an angle encoder based on a DSP. The zero setting and calibration method comprises the following steps that 1) a DSP main control module writes configuration data into the angle encoder; (2) the DSP main control module reads current mechanical angle data of an angle encoder; 3) based on the current mechanical angle data and the theoretical angle data, performing zero setting on the angle encoder; 4, the DSP main control module is used for calibrating the angle encoder, and amplitude unbalance, phase deviation and linear error are compensated. Automatic zero setting and calibration are achieved through communication between the DSP and the SPI and CAN of the MT6835 rotary transformer chip, system parameter configuration, angle reading and zero point compensation can be completed without external manual intervention, and precision, efficiency and maintainability are greatly improved.