49 results about "Displacement error" patented technology

The invention discloses an anti-interference linear motor module motion control method, and relates to the technical field of linear motor module control. The method comprises the following steps: monitoring and analyzing multiple parameters of displacement error # imgabs0 #, acceleration fluctuation value # imgabs1 #, motor load capacity # imgabs2 #, motor working current I, motor real-time voltage value U, dragging force # imgabs3 # and guide rail friction force # imgabs4 # in the operation process of a motor module in real time, and interference of external environmental factors (such as airflow velocity # imgabs5 #, airflow pressure # imgabs6 #, deposition thickness # imgabs7 # and electrostatic effect coefficient # imgabs8 #); according to the method, the motion state of the motor module can be comprehensively evaluated, so that the deviation of the motion track is effectively reduced, and the motion stability of the motor module is remarkably improved. An interference model is established by collecting external environment interference parameters (airflow interference, deposition thickness, environment vibration and the like) and combining a neural network technology, a motion control strategy of a motor module can be dynamically adjusted, and different types of interference factors are compensated in real time.

The invention provides a robust high-precision tracking control method based on a dynamic sliding mode surface. The method comprises the following steps: 1, constructing a driver model; 2, introducing a nonlinear dynamic function term, a high-order error term and an integral term of a displacement error into the dynamic sliding mode surface; and 3, constructing a robust high-precision tracking sliding mode controller based on the dynamic sliding mode surface and the driver model obtained in the step 2. 4, inputting the displacement error of the driver into the sliding mode controller; and the sliding mode controller outputs a voltage signal to the piezoelectric actuator. The nonlinear dynamic function term, the high-order error term and the integral term of the displacement error are introduced into the dynamic sliding mode surface, the transient response speed of the sliding mode surface is improved through the integral term, and the steady-state error of the sliding mode surface is reduced; the nonlinear dynamic function improves the response speed and robustness of the sliding mode surface; the high-order error term enables the sliding mode surface to be more sensitive to error changes.

The invention relates to the technical field of motor control and sensors, and discloses a displacement error dynamic compensation method, device and equipment and a medium, and the method comprises the steps: obtaining the temperature data and original displacement data of a plurality of temperature measurement points in a moving part and an environment, calling a pre-built nonlinear mapping relation between a temperature gradient and a displacement deviation, and calculating the displacement error of the moving part; based on the nonlinear mapping relation, adaptive filtering is carried out on the temperature data and the original displacement data, a trend component representing temperature drift is separated out, displacement data without the trend component is obtained, and a dynamic compensation instruction is generated based on the trend component and the nonlinear mapping relation; and adjusting the displacement data of which the trend component is removed and outputting compensation displacement data. According to the method, the nonlinear mapping model of the temperature gradient and the displacement deviation is constructed, the drift trend is extracted in combination with multi-point temperature sensing and self-adaptive filtering, the compensation instruction is dynamically generated, accurate real-time correction of the displacement error is achieved, and the responsiveness and accuracy of compensation are improved.

The invention discloses a multi-information fusion hydraulic cylinder internal leakage fault diagnosis method, and relates to the technical field of hydraulic cylinder fault diagnos.The hydraulic cylinder internal leakage fault diagnosis method comprises the steps that firstly, a hydraulic cylinder heavy load, time-varying and nonlinear motion curve and a test system based on a multi-source sensor are constructed, and internal leakage fault evolution under the actual working condition is simulated; and secondly, developing a hybrid deep learning semi-supervised feature fusion framework based on a convolutional auto-encoder, a multi-head attention mechanism, residual connection and a bidirectional sequential network, and enhancing the characterization learning ability of a multi-source signal in a complex and multi-noise environment through omnibearing deep feature decoupling. And finally, feature extraction and fusion are realized by using the displacement error and the pressure signal, and fault diagnosis is completed. Experiments show that compared with a comparison model, the diagnosis accuracy of the provided model and feature fusion strategy is improved by 3.95%; under-3 decibel noise, the accuracy is improved by 2.33%, and the scheme has high accuracy, reliability and generalization performance.

The invention relates to a multi-parameter recursive optimization lead screw module precision detection method and device. The method comprises the following steps: carrying out motion trail and load detection on a screw rod module to obtain displacement error data and load response data; constructing a three-dimensional error parameter model according to the displacement error data and the load response data, and calculating initial error characteristics through the three-dimensional error parameter model; performing working condition adaptive analysis on the initial error features to obtain a multi-dimensional compression error matrix; inputting the multi-dimensional compression error matrix into a recursive optimization algorithm for hierarchical parameter iteration to obtain an error compensation parameter; and thin plate spline fitting is carried out on the error compensation parameters to obtain a space error mapping function, the position compensation amount is calculated according to the space error mapping function, and a lead screw module accurate positioning control instruction is generated. According to the method, the error characteristics of the lead screw module under different working conditions are comprehensively captured, so that the lead screw module can keep stable high-precision performance under the standard working condition, the limit working condition and the variable working condition.

The invention provides a spindle radial rotation error separation method based on a multi-point method. The spindle radial rotation error separation method comprises the steps that firstly, displacement data of a spindle are collected through a first directional displacement sensor and a second directional displacement sensor; step 2, inputting displacement data into an error separation model, and outputting a forward rotation error and a backward rotation error; wherein the establishment of the error separation model comprises the following steps: (1) based on kinematics analysis of a main shaft, establishing measurement data of a main shaft radial rotation error test model to obtain a direction displacement error measurement model and a direction displacement error measurement model; and (2) eliminating a sensor installation offset error and a test rod roundness error based on an improved multi-point error separation method to obtain a pure spindle radial rotation error. According to the invention, on the basis of eliminating the offset error of sensor installation and the roundness error of the test detection rod in the measurement data, the pure spindle radial rotation error is obtained, and the high-precision measurement of the spindle radial rotation error is realized.

The invention relates to the technical field of shaft part measurement, and provides a shaft part precision measurement method and device, and the method comprises the steps: obtaining initial measurement data and precision surface data of a shaft part, inputting the initial measurement data and the precision surface data into a preset data calibration model, and obtaining calibration measurement data; performing error and cross analysis on the shaft part based on the calibration measurement data to obtain displacement error data and a deformation coefficient, and performing iterative correction analysis on the displacement error data to obtain corrected displacement error data; and performing precision evaluation on the shaft part by using the corrected displacement error data and the deformation coefficient to obtain a precision evaluation result. Through comprehensive precision evaluation of the shaft part, a precision evaluation result is obtained, and the problems that in the machining process, the shaft part is affected by factors such as internal stress in the heat treatment and machining processes, deformation and position deviation of the shaft part are caused, and the quality of the part cannot be comprehensively and accurately evaluated are solved.

The present application relates to the technical field of crane control, and discloses a crane double-hoist synchronous control method, comprising the following steps: collecting working condition data of the crane double-hoist in real time, calculating the synchronous speed error and displacement error of the crane double-hoist, inputting the working condition data of the crane double-hoist into a pre-trained decision tree working condition classification model, outputting a working condition type, calling a corresponding synchronous control model based on an LSTM neural network model trained for multiple working conditions according to the working condition type; based on the monitored synchronous speed error and synchronous displacement error, if the synchronous speed error and the synchronous displacement error are less than the expected control precision, further fine-tuning the control parameters, and re-examining the accuracy of the decision tree working condition classification model and the LSTM neural network synchronous control model, and optimizing and improving the model.

The invention discloses a mechanical arm control method and system for high-precision machining, and relates to the technical field of machining control. According to the method, an operation data set is constructed, a lead screw displacement error Wx (t) is calculated, and a mapping relation between time and an angle is established through a lead screw transmission ratio to obtain an angle error vector epsilon (phi); superposing and averaging the angle error vector by adopting a periodic signal superposition technology to obtain a lead screw angle error amount Es (phi); solving a fitting parameter group through a least square fitting algorithm, constructing a screw pitch error index Wwc (phi), performing dynamic error compensation on a screw rotation angle variable phi, and generating a corrected path track Xc; and calculating a periodic residual error ratio Rre of an error before and after correction by extracting actual displacement and theoretical displacement data, and evaluating a compensation state. According to the method, through time and angle domain collaborative modeling and periodic residual error closed-loop evaluation, dynamic correction and precise control over the motion error of the mechanical arm lead screw are achieved.

The application provides a method, device and system for adjusting control parameters of a robot, the method comprising: obtaining a displacement waveform of the robot collected by a displacement sensor, the displacement sensor being installed on an edge point of the robot, the edge point of the robot being an intersection between a movement direction of the robot and a shell of the robot; determining whether overshoot exists in the displacement waveform; and adjusting a position loop gain to a product of a preset multiple and a current position loop gain to reduce a probability of overshoot appearing again in the displacement waveform after a current time, in a case where it is determined that overshoot exists in the displacement waveform. The application solves the problem that the actual displacement error of the robot exceeds a tolerance error range due to a large difference between a position waveform of a robot end and a position waveform of a motor end under the same condition, and the position waveform of the motor end cannot fully reflect the actual operation of the robot.

The invention belongs to the technical field of displacement measurement, and particularly discloses a visual three-dimensional displacement measurement method based on an unmanned aerial vehicle, and the method comprises the following steps: collecting images of a to-be-measured structure before and after displacement; unmanned aerial vehicle motion compensation is carried out, pixel-level unmanned aerial vehicle motion errors are eliminated, a preliminarily processed image is obtained, and the image comprises displacement of the to-be-measured structure and sub-pixel-level displacement errors introduced by unmanned aerial vehicle motion; in combination with a sampling Moire method and industrial camera calibration, carrying out sub-pixel-level displacement measurement on the preliminarily processed image to obtain displacement data including displacement of the structure to be measured and sub-pixel-level unmanned aerial vehicle motion errors; and performing sub-pixel-level motion compensation on the displacement data to obtain sub-pixel-level error data introduced by the motion of the unmanned aerial vehicle, and subtracting the sub-pixel-level error data introduced by the motion of the unmanned aerial vehicle from the displacement data to obtain final displacement data. According to the invention, three-dimensional displacement measurement can be realized, the measurement precision is improved, and the accuracy of a displacement measurement result is ensured.

The embodiment of the present disclosure relates to a kind of self-adapting preset performance control method based on disturbance observer, comprising: the dynamic model of mechanical arm system is established;Preset performance function is constructed, preset performance function includes lower bound performance function and upper bound performance function, the angular displacement error of mechanical arm is constrained using lower bound performance function and upper bound performance function in the same direction;Under the constraint of lower bound performance function and upper bound performance function, barrier function is introduced to constrain the angular displacement error of each joint of mechanical arm, and the control error of each joint of mechanical arm is determined based on barrier function;The external disturbance of mechanical arm system is estimated using nonlinear disturbance observer, and disturbance estimation result is obtained;Controller is designed based on control error and disturbance estimation result, the external disturbance of mechanical arm system is compensated in real time using controller, and the action of each joint of mechanical arm is controlled.The present disclosure can well control angular displacement error overshoot, improve mechanical arm system stability.

The present invention discloses a method for pre-alignment of a projection lithography machine mask based on a motion compensation model, and belongs to the field of lithography. The present invention first establishes a motion compensation model for a mask stage to compensate for the rotational deviation caused by the movement of the R axis and the displacement errors in the X and Y directions. Then, the precise coordinates of the alignment mark are obtained based on the pre-alignment image algorithm, and the servo motor is driven in combination with the motion compensation model to make corresponding adjustments to the mask stage along the X, Y and R directions, and finally enter the alignment position. The present invention ensures the pre-alignment accuracy of the mask by precisely controlling the movement of the mask stage, effectively improves the overall accuracy of the alignment between the mask and the silicon wafer, and thus improves the stability and reliability of the lithography process. While reducing the alignment error, the present invention improves the production efficiency of the lithography process, and has broad industrial application prospects.

The application discloses a radial magnetic bearing displacement vibration suppression method based on a phase shift reduced-order generalized integrator, and comprises the following steps: firstly, a magnetic bearing system model containing rotor mass imbalance is established; then, a synchronous displacement vibration suppression algorithm based on a phase shift reduced-order generalized integrator is designed, the orthogonal relationship of X / Y radial displacement error signals of the magnetic bearing is utilized, and the simultaneous extraction and compensation of double-channel synchronous components are realized; finally, the system stability is analyzed, and the phase shift angle parameters are designed in sections; the phase shift angle is introduced to adjust the phase without changing the amplitude characteristics at the synchronous frequency, so that the system stability is expanded. The application adopts the reduced-order generalized integrator structure, has less state quantity and lower calculation amount, and is suitable for high-speed real-time implementation of DSP / FPGA; the phase shift angle is introduced for phase advance adjustment, so that the stable working range of the algorithm can be effectively expanded; the orthogonal characteristics of the displacement signals are utilized to realize the unified implementation of X / Y double-channel synchronous compensation, and the structure is more simple.

The invention provides a speed-limiting tracking control method and system for wave motion compensation, and the method comprises the steps: obtaining the expected displacement and actual displacement at the current moment, and determining an expected speed based on a displacement error and a buffer space radius; calculating a Boolean quantity jump mark logic value; respectively solving the tracking increment of the smooth tracking expected speed and the compensation increment of the compensation displacement error; and finally, updating the current actual speed by combining the actual speed of the previous period, and indirectly controlling the actual displacement at the next moment. According to the method, a real-time position signal of an expected trajectory is only needed, a trajectory function form does not need to be predicted, any bounded unknown trajectory of which the frequency component is within the available bandwidth of the system can be tracked, the trajectory does not need to have a specific function form or conductivity, the speed in the tracking process is smooth, and speed limiting protection is achieved; the whole control algorithm is only composed of arithmetic operation and logic judgment, the calculation efficiency is high, and the method is suitable for being deployed in a low-cost programmable logic controller.

The invention belongs to the technical field of high-speed electromagnetic bearing systems, and discloses a magnetic suspension bearing rotor system and a design method thereof, and the method comprises the following steps: S1, building a mathematical model of a magnetic suspension bearing rotor control system; s2, feeding back a rotor vibration displacement signal to an input end, and comparing the rotor vibration displacement signal with an expected displacement signal of the input end to obtain a displacement error E and a displacement error change value EC; s3, taking the displacement error E and the displacement error change value EC as a fuzzy input universe of a fuzzy controller, and adjusting a proportional gain variation delta Kp, an integral gain variation delta Ki and a differential gain variation delta Kd; and S4, a wave trap is adopted to suppress resonance disturbance, and meanwhile, a particle swarm algorithm is adopted to optimize a fuzzy input discourse domain in the fuzzy controller. According to the system designed by the invention, when the rotating speed of the rotor changes, the parameters of the wave trap can be dynamically adjusted to track the change of the vibration frequency, and the optimal vibration suppression effect in the full working condition range is ensured.

The utility model discloses a lead screw follow-up supporting mechanism which comprises a power part and a lead screw connected with the output end of the power part, the lead screw is further provided with a supporting mechanism and a feedback part, and the feedback part is used for detecting and correcting displacement errors. The supporting mechanism comprises a sliding rail arranged below the lead screw, a first sliding piece, a second sliding piece and a third sliding piece, the first sliding piece, the second sliding piece and the third sliding piece slide on the sliding rail, at least two sets of stress rods are fixedly connected between the first sliding piece and the second sliding piece, and at least two sets of limiting rods are arranged between the second sliding piece and the third sliding piece. The limiting rod is sleeved with a first elastic element, and a driving piece is further arranged between the first sliding piece and the second sliding piece. According to the utility model, the influence caused by droop of the screw rod is effectively controlled, the position movement error caused by distortion of the screw rod can be well compensated, and the manufacturing precision and the manufacturing efficiency are effectively improved.

The present invention discloses a force-displacement correction method for an instrumented impact test. The contact flexibility of the hammer blade and the specimen is obtained by the finite element method; a force-applying device and a laser interferometer are used to measure the flexibility of the anvil; an instrumented Charpy pendulum impact test is performed on a standard V-shaped impact specimen according to the standard, and force data during the pendulum impact on the specimen is obtained during the test. The deformation of the anvil and the hammer blade is corrected; based on the calculated corrected data, the force-displacement curve obtained from the instrumented impact test is redrawn. The method proposes an expression formula for contact flexibility, and obtains the specific parameters in this formula based on the finite element method. Based on this, the displacement error caused by the deformation of the hammer blade during the impact process is corrected; compared with the traditional method of treating the anvil and hammer blade as absolute rigid bodies, the present invention treats the hammer blade and anvil as elastic bodies, which is closer to the actual situation in principle, and the corrected data is more scientific and reasonable.

The invention relates to the technical field of crane control, and discloses a crane double-winch synchronous control method which comprises the following steps: acquiring working condition data of double winches of a crane in real time, calculating a rotating speed synchronous error and a displacement error of the double winches of the crane, and inputting the working condition data of the double winches of the crane into a pre-trained decision tree working condition classification model; outputting a working condition type, and calling a corresponding synchronous control model based on an LSTM neural network model trained for various working conditions according to the working condition type; and based on the monitored synchronous rotating speed error and synchronous displacement error, if the synchronous rotating speed error and the synchronous displacement error are smaller than the expected control precision, further finely adjusting the control parameters, re-examining the accuracy of the decision tree working condition classification model and the LSTM neural network synchronous control model, and optimizing and improving the models.

The invention relates to the technical field of networked vehicle transverse control system faults, and discloses a networked vehicle transverse control system fault estimation method based on an interval observer, which comprises the following steps: establishing a vehicle transverse dynamic model, and taking a transverse displacement error, a transverse displacement error change rate, a yaw angle error and a change rate as state variables; and constructing a continuous time state-space equation, discretizing to establish an information physical system model, and constructing a ZA-based multi-cell body region analysis method and a performance intermediate observer based on the intermediate variable. According to the method, the vehicle group formation system is abstracted into a typical information physical system model, deep fusion of a vehicle physical layer and a calculation network layer is realized, the core characteristics of a CPS system are reflected, the design freedom degree and the estimation precision are improved by introducing a novel interval observer with double auxiliary variables, and the estimation accuracy is improved. An interval fault estimation method is designed in combination with a set membership estimation thought, the robustness to unknown input is enhanced through intermediate variables, and the overall reliability of the system is improved.

The application provides a track vehicle path tracking gain adaptive modulation method using physical damping, and belongs to the technical field of unmanned driving control. The method first constructs a basic path tracking controller to obtain an initial control signal. The yaw rate loss caused by track slippage and the error amplification effect of system signal time delay when deviating from or crossing the reference path are defined as adverse factors that need to be compensated. The slowing effect of error attenuation when approaching the reference path is defined as the available physical damping characteristics. Based on the polarity combination of geometric observation variables such as heading error, displacement error and initial control signal, the vehicle motion trend is identified: when approaching the reference path, the control gain is reduced to utilize the physical damping and suppress reverse overshoot and oscillation; when deviating from or crossing the reference path, the control gain is increased to compensate for the error. The application does not depend on complex modeling, has small calculation amount and strong compatibility, and can effectively solve the problem that the existing technology cannot simultaneously improve accuracy and smoothness.

The present invention discloses an active vibration isolation method based on a Stewart platform, comprising: based on the kinematic and dynamic models pre-established for the Stewart parallel platform, collecting the posture signal of the upper platform at the current moment and the displacement and velocity signals of each leg; calculating the required displacement and velocity of each leg through an inverse kinematics algorithm according to the posture signal of the upper platform and the expected posture quaternion; calculating the displacement and velocity errors of each leg and performing nonlinear processing; dynamically correcting the control gain of the S-NPD motion controller to obtain the corrected proportional gain and differential gain of each leg at the current moment; for each leg, the nonlinear processing results of the displacement error and the nonlinear processing results of the velocity error and the corrected proportional gain and differential gain of the leg at the current moment are input into the S-NPD motion controller to obtain the control force; repeating until the preset number of moments is accumulated and then stopping. The present invention can ensure that the upper platform remains relatively stable when the lower platform is subjected to different disturbances, and achieve good control.

To provide a displacement calculation device capable of correcting errors that occur in a large period exceeding one period of a displacement detection signal.SOLUTION: A displacement calculation device 30 calculates a displacement from two or more displacement detection signals having different phases. The displacement calculation device 30 includes a detected displacement calculation unit 32 that calculates a detected displacement based on the displacement detection signal, a signal analysis unit 33 that calculates an amplitude error, an error of the vibration center, and a phase error between the displacement detection signal and a reference signal, a periodic displacement error calculation unit 34 that calculates a periodic displacement error and a period thereof based on the errors calculated by the signal analysis unit 33, and a displacement correction unit 35 that corrects the detected displacement calculated by the detected displacement calculation unit 32 based on the displacement error and a period thereof calculated by the periodic displacement error calculation unit 34, and outputs the corrected calibrated displacement.SELECTED DRAWING: Figure 4

The invention discloses a control method and device for rudder angle execution devices of a ship and the ship, and belongs to the technical field of ship propulsion systems.The control method comprises the steps that motion of all the rudder angle execution devices is controlled according to a control instruction, and running state data of all the rudder angle execution devices are obtained in real time; according to the operation state data, a preset displacement tracking error boundary value and a preset speed tracking error boundary value, the acceleration tracking error of a hydraulic cylinder of each rudder angle execution device is determined; determining a control voltage of each rudder angle execution device according to the acceleration tracking error; and iteratively updating the control instruction according to the control voltage so as to realize cooperative control of each rudder angle execution device. The operation state data is limited through the displacement tracking error boundary value and the preset speed tracking error boundary value, the displacement errors and the speed errors of all the rudder angle execution devices are restrained within the unified threshold range, it is guaranteed that the steering of the multiple rudder blades is kept synchronous, and the safety of ship navigation is further guaranteed.

The application belongs to the field of grating measurement, and provides a grating interference displacement measurement method based on a network model, comprising: constructing an input vector of the network model based on measurement parameters of the grating interferometer; constructing a hidden layer transfer function based on a hidden layer nonlinear activation function and the input vector; determining a displacement error compensation value based on an output layer activation function and the hidden layer transfer function; and obtaining a compensated displacement value based on an uncompensated displacement measurement value and the displacement error compensation value. The application proposes physical guided neural architecture learning, realizes data decoupling and structured representation through "independent component coding", and injects prior knowledge as a constraint through "physical rule guidance", so as to realize high-precision, high-robustness, interpretable and physically consistent error modeling and compensation in a data-driven framework.

The application provides a kind of robust high-precision tracking control method based on dynamic sliding surface;The method is as follows: one, construct driver model.Two, introduce displacement error nonlinear dynamic function term, high-order error term and integral term in dynamic sliding surface.Three, based on the dynamic sliding surface and driver model obtained in step two, construct robust high-precision tracking sliding mode controller.Four, input the displacement error of the driver into the sliding mode controller;The sliding mode controller outputs a voltage signal to the piezoelectric driver.The application introduces displacement error nonlinear dynamic function term, high-order error term and integral term in dynamic sliding surface, the integral term improves the transient response speed of the sliding surface, reduces the steady-state error of the sliding surface;Nonlinear dynamic function improves the response speed and robustness of the sliding surface;High-order error term makes the sliding surface more sensitive to error changes.

This invention belongs to the field of CNC machining technology and discloses a method for compensating the lift error in CNC cam grinding based on the position of the drive axis. The method includes the following steps: S1. Acquire the actual contour or lift data of the cam after machining, calculate the actual displacement sequences of the C-axis and X-axis controlling the relative motion between the cam and the grinding wheel during grinding, and calculate the displacement error sequence; S2. Based on the hysteresis characteristics of the machine tool's C-axis and X-axis response, correct the C-axis coordinates in the displacement error sequence to obtain the C-axis coordinate sequence; calculate the X-axis compensation value sequence; the C-axis coordinate sequence and the X-axis compensation sequence form the displacement compensation sequence; S3. Use the displacement compensation sequence to compensate for the preset theoretical displacement sequence, and use the compensated displacement sequence to machine the cam. This invention solves the problems of complex online control parameters, limited accuracy of error back-superposition compensation, and reliance on experience for trial cutting and adjustment in existing cam machining error compensation methods.

The dynamic displacement error compensation system provided by the present invention is: based on the detection error information obtained from the calibration detection of a first axis and a second axis, the position information of the first axis and the second axis are used as variables to respectively make a first compensation table for compensating the displacement of the first axis and a second compensation table for compensating the displacement of the second axis, and the first compensation table is stored in the first driver, and the second compensation table is stored in the second driver, and the first driver and the second driver simultaneously or successively obtain the first dynamic position information of the first moving element on the first axis and the second dynamic position information of the second moving element on the second axis, and then according to the first compensation table and the second compensation table, the displacement of the first moving element and the second moving element are respectively compensated.

The present invention discloses a measuring device and method for correcting the torsional error of an inclinometer guide groove. The measuring device includes a data acquisition mechanism, an inclinometer tube, and an inclinometer guide groove torsional angle measuring mechanism extending into the inclinometer tube and connected to the data acquisition mechanism. First guide grooves, second guide grooves, third guide grooves, and fourth guide grooves are sequentially and equally spaced along the circumferential direction of the inner wall of the inclinometer tube. The method includes the steps of: 1. Burying the inclinometer tube; 2. Installing the measuring device; 3. Measuring the torsional angle of the inclinometer tube; 4. Measuring the displacement of the inclinometer tube; 5. Calculating the torsional correction of the inclinometer guide groove. The present invention, through the measuring device composed of an angle sensor and a sliding guide wheel in cooperation with the pre-buried inclinometer tube, can obtain the torsional angles of the four guide grooves on each measuring section in the inclinometer tube, calculate the relative torsional deformation angles of each measuring point of the inclinometer tube through torsional superposition calculation, and correct the displacement errors measured in different directions by the inclinometer. The calculation method is scientific and reasonable and can reflect the true deformation situation.

The application relates to the field of six-degree-of-freedom motion platforms, and discloses a six-degree-of-freedom motion platform linear displacement error compensation method, which comprises the following steps: calculating theoretical pose data of an end effector according to a kinematics inverse solution model to obtain theoretical linear displacement instructions of each driving leg and control the extension and retraction of the driving leg; acquiring actual pose data to calculate pose deviation; converting the pose deviation into initial linear displacement compensation amounts for each driving leg based on a pre-constructed error mapping Jacobian matrix; correcting the theoretical linear displacement instructions based on the initial linear displacement compensation amounts to obtain target linear displacement instructions, and outputting the target linear displacement instructions to a controller to perform positioning control. Through the technical scheme, the actual tracking positioning accuracy of the end effector of the platform is improved.