11 results about "Error separation" patented technology

The invention belongs to the field of navigation sensor error estimation, and particularly relates to a composite interference filtering method for error separation estimation of a dynamics-assisted gyroscope. The method comprises the following steps: firstly, acquiring error data of the micro-electro-mechanical gyroscope offline and preprocessing; the method comprises the following steps: decomposing sequence data by using wavelet transform, respectively establishing an autoregressive moving average model ARMA of a stationary subsequence and a long short-term memory network model LSTM of a non-stationary subsequence, and combining the ARMA and the LSTM to obtain a hybrid model of gyroscope errors; and then establishing a system equation based on the rotor unmanned aerial vehicle kinetic model and the error hybrid model. And estimating the error of the gyroscope in real time and updating an error model by using the real-time measured value of the gyroscope and the controlled quantity of the rotor unmanned aerial vehicle through a composite interference filtering method, and finally compensating the measurement of the gyroscope. On the premise of not increasing hardware, online estimation of the gyroscope error in the motion state is realized, and the navigation precision is improved.

The invention discloses a high-precision guide rail double-tool iterative assembly method which comprises the following steps: coarsely adjusting the flatness of a mounting surface through an electronic level meter, accurately measuring the straightness of a guide rail through an autocollimator, establishing an error separation model for directional correction, and forming a'detection-correction-reinspection 'closed loop. The problems that a traditional method is fuzzy in error recognition and low in trimming efficiency are solved, the method is suitable for high-precision assembling and adjusting of the precise mechanical guide rail, and the assembling precision and efficiency are remarkably improved.

The invention discloses a rotor contour error separation method based on seven-error coupling, and relates to a rotor contour error separation method. The problems that in the prior art, error separation is insufficient, and multiple errors cannot be separated at a time are solved. According to the method, firstly, a seven-error model is established, and then error separation is performed based on deep reinforcement learning. According to the method, high-precision and high-efficiency separation of the rotor contour error can be realized. The invention belongs to the technical field of ultra-precision geometric measurement, and is particularly suitable for geometric precision detection and error traceability of a high-precision rotating machinery rotor.

A machine vision-based method for automatic measurement and deviation correction of workpiece dimensions, relating to the field of precision manufacturing technology, comprises the following steps: First, data from multi-process workpieces is collected and preprocessed to form a complete basic dataset; then, a dedicated feature anchor point benchmark library is constructed; next, self-calibration and coordinate unification are performed based on this library; subsequently, error decoupling and weight analysis are conducted to calculate the total deviation and the weights of various errors; finally, errors are corrected based on the relevant results, measurement results are output, a residual optimization model is fed back, the correction accuracy is verified, and the processing accuracy is improved. This invention constructs a dedicated feature anchor point benchmark library, achieving precise correlation and dynamic self-calibration between anchor points and errors, and unifying the coordinate system; through algorithms such as spatiotemporal decoupling of anchor point constraints, the total dimensional deviation across the entire process is accurately decomposed, error separation and correction are completed, and feedback correction is introduced to form a fully closed-loop system, improving the dimensional accuracy and overall stability of precision workpiece processing.

A circle profile error separation method based on discrete sampling point cumulative term and method, it relates to a kind of circle profile error separation method, to solve the problems such as harmonic suppression and long measurement time, complex calculation in prior art, the present application includes the following steps: first position signal is obtained by sensor acquisition, error separation platform is applied to the workpiece to be measured to carry out indexing, so that the workpiece to be measured and instrument rotation main shaft produce a fixed size indexing angle θ=2π / N, i.e. turn through unit sampling angle size, sensor collects second indexing signal at this time, finally, the first and second indexing signals collected are processed, the main shaft rotation error signal is separated from the circle profile error information, and the circle profile signal after removing error is obtained.The signal obtained by the discrete sampling point cumulative term and method for roundness error separation is consistent with the original given signal, which verifies the feasibility and effectiveness of the method for roundness error separation from principle.The present application belongs to the technical field of ultra-precision geometric measurement.

The invention provides a robustness support error separation method, electronic equipment and a storage medium, and relates to the technical field of support error separation, and the method comprises the steps: processing a physical reference mark in a non-clear aperture region of a to-be-detected optical element, recording the original coordinate of the physical reference mark in the coordinate system of the optical element to be detected; performing n times of interference measurement on the optical element to be detected; determining a 2D rotation matrix and a transverse translation vector corresponding to each measurement of the optical element to be detected; acquiring a preset measurement model; subtracting the interference surface data Mi measured at the ith time from the interference surface data Mi measured at the jth time; expanding Wtrue by adopting a Zernike polynomial, and constructing an overdetermined equation set in combination with Mi-Mj; carrying out reverse deduction to obtain a support error; the support error can be effectively separated.

The application provides a robust support error separation method, an electronic device and a storage medium, and relates to the technical field of support error separation. The method comprises the following steps: processing a physical reference mark in a non-light aperture area of a to-be-detected optical element, and recording original coordinates of the physical reference mark in a coordinate system of the to-be-detected optical element; performing n times of interference measurement on the to-be-detected optical element; determining a 2D rotation matrix and a transverse translation vector corresponding to each measurement of the to-be-detected optical element; obtaining a preset measurement model; subtracting interference surface data M i of the i th measurement from interference surface data M true of the j th measurement; adopting a Zernike polynomial expansion W i , and combining M j to construct an over-determined equation set; and reversely obtaining support error; and the application can effectively separate the support error.

The invention discloses a shape error measurement method based on error separation, and the method comprises the steps: 1) constructing a three-point method measurement system, carrying out the differential measurement of a to-be-measured workpiece through three sensors, introducing a ridge regression algorithm, and obtaining the straightness error of the to-be-measured workpiece; and 2) expanding the three-point measurement method in the step 1) to a 3 * 3 arranged sensor array and applying the sensor array to the shape error measurement of the two-dimensional plane of the workpiece to be measured. According to the method, improvement is carried out on the basis of a three-point straightness measurement method, a ridge regression algorithm is introduced to solve a corresponding linear system, and a generalized cross validation method is adopted to adaptively determine an optimal regularization parameter, so that the robustness, the accuracy and the anti-noise performance of understanding are improved, and the robustness, the accuracy and the anti-noise performance of the system are improved. And the basic principle of a three-point method is further expanded to a nine-point method, so that the shape error measurement of the two-dimensional plane of the workpiece is realized, and a precise and effective method is provided for the measurement of the straightness and flatness of the workpiece.

The application discloses a kind of in-situ detection method and system of time-controlled grinding machine tool based on error separation, method includes the following steps: separation time-controlled grinding machine tool Y axis Z direction straightness error E ZY ,X axis Z direction straightness error E ZX And angle error E AX Then according to time-controlled grinding machine tool Y axis Z direction straightness error E ZY ,X axis Z direction straightness error E ZX And angle error E AX Calculated geometry error;Separate the temperature drift deviation of workpiece two ends of time-controlled grinding machine tool, calculate total temperature drift error according to the temperature drift deviation of workpiece two ends;With the geometry error and total temperature drift error, workpiece surface type is compensated, and the final measurement surface type of workpiece is obtained.The application overcomes the influence of the geometry error and thermal drift error of time-controlled grinding machine tool on in-situ measurement accuracy.

The invention discloses an accelerometer combination error separation method and system based on an environment function matrix. The method specifically comprises the following steps: synchronously acquiring original data of an inertial measurement unit and real trajectory data of a grating system on a centrifuge experiment platform; subtracting the grating outside value from the telemetering value to obtain a remote heterodyne signal; thirdly, remote heterodyne modeling is carried out to form a product form of an error coefficient vector and an environment function matrix, and the environment function matrix is obtained by carrying out attitude calculation and kinematics transformation calculation on IMU original measurement quantity; and finally, estimating each error parameter through principal component analysis (PCA) in combination with a least square method, and realizing effective separation and quantitative analysis of the accelerometer combination error. According to the method, the complex coupling error can be decoupled and identified under the condition of no high-precision reference navigation equipment, the method is suitable for various IMU calibration and error compensation scenes, and theoretical and engineering support is provided for a high-precision inertial navigation system.

This invention relates to the field of CNC machine tool spindle accuracy testing and error separation technology, specifically to a high-precision measurement method and device for spindle rotation error separation. The high-precision measurement method for spindle rotation error separation includes the following steps: data acquisition under any angle combination; solving for the optimal angle; acquiring data at the optimal angle and removing installation errors; and performing error separation based on the optimized three-point method from the data after removing installation errors to obtain the rotation error and the bar shape error. The high-precision measurement device for spindle rotation error separation includes a base, an annular guide slide assembly, a sensor slide assembly, a bar, a worm gear fine-tuning assembly, and a locking device. This invention enables rapid adjustment of the three-sensor angle combination, effectively reducing the ill-conditioning and noise amplification of the three-point method separation, improving the stability and reliability of the separation of spindle rotation error and bar shape error, and providing technical support for the engineering measurement and evaluation of machine tool spindle rotation accuracy.