Rocket sled orbit short wave smoothness optimization method

By using laser tracker segmented measurements and data processing software to perform overlapping calculations, the problem of long and difficult optimization and calibration cycles for rocket sled track smoothness has been solved. This has enabled efficient short-wave track smoothness optimization and is suitable for rapid testing before rocket sled tests.

CN121898296APending Publication Date: 2026-04-21CHINA NAT INST OF TEST & TESTING
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA NAT INST OF TEST & TESTING
Filing Date
2025-12-09
Publication Date
2026-04-21

AI Technical Summary

Technical Problem

The existing rocket sled track smoothness optimization and calibration process is time-consuming, difficult, and inefficient. Furthermore, the limited measurement accuracy of laser trackers makes long-distance rocket sled track measurement work time-consuming and labor-intensive.

Method used

A laser tracker was used to measure the straightness of the track in sections. Spatial Analysis data processing software was used to perform coordinate transformation and cosine function weighted overlap calculations, automatically calculating the track adjustment position and amount. Data batch processing and report output were implemented through programming.

Benefits of technology

It achieves optimization of shortwave smoothness in orbit, with a short calibration cycle and high efficiency, making it suitable for testing and preparation before high-frequency rocket skid tests, and significantly improving data processing efficiency.

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Abstract

The invention relates to a rocket sled track short wave smoothness optimization method, and solves the problems of long adjustment period, high difficulty and low efficiency of existing rocket sled track smoothness optimization. Comprising the following steps: (1) measuring and detecting the straightness of a track by adopting a laser tracker; (2) coordinate conversion is completed in Spatial Analysis data processing software matched with the laser tracker; (3) inputting track measurement data. Txt files in batches, and carrying out lap joint calculation on all common point coordinates to obtain whole-course track measurement data; (4) analyzing and calculating the to-be-adjusted position and the corresponding adjustment amount of the track; (5) the software outputs a Word file of a track flatness detection and measurement coordinate report as a detection and measurement record; outputting in an Excel report form; and (6) carrying out track adjustment operation by field personnel according to the adjustment buckling point and the adjustment amount Excel report so as to realize long-range track short-wave smoothness optimization adjustment. The method is higher in efficiency, shorter in adjustment period and smaller in workload, and the data processing efficiency is remarkably improved.
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Description

Technical Field

[0001] This invention belongs to the field of measurement technology, and mainly relates to track straightness measurement and calibration technology. Specifically, it relates to a method for optimizing the short-wave smoothness of rocket skid tracks, which can be used in the field of smoothness optimization and calibration technology for various types of long-distance tracks. Background Technology

[0002] High-precision tracks are a crucial infrastructure for ensuring the success of rocket sled tests. During high-speed rocket sled operation, track smoothness significantly impacts the sled's vibration and dynamic environment. Similar to railway track construction, rocket sled tracks utilize fasteners for positioning and adjustment, allowing for adjustments to the track's elevation and horizontal position at each fastener. To improve track smoothness, laser trackers are typically used for measurement and calibration. The measurement reference is the track reference stake, and the calculation of elevation and horizontal deviations involves finding the difference between the design value, theoretical value, and measured value. However, after prolonged service, this method requires significant adjustments at almost every fastener, resulting in a lengthy and challenging track smoothness optimization process. Furthermore, due to the limitations of laser tracker measurement accuracy, long-distance rocket sled track measurements are conducted in sections (generally within 60m), generating a large amount of data that is time-consuming and labor-intensive to process manually.

[0003] To address the aforementioned issues, this paper ensures the overall track alignment remains unchanged during track straightness measurement and calibration. The elevation and horizontal deviations at 1-meter intervals of fasteners are limited to specified values ​​(e.g., ±0.3mm). The adjustment positions and amounts at these fastener points are determined based on minimizing the number of fastener adjustments required. This data is then used to optimize the short-wave smoothness of the track. To improve data processing efficiency and quality, a rocket sled short-wave smoothness optimization calibration data processing software was developed. This software enables batch processing of measurement data, automatic calculation of fastener positions and adjustment amounts, and rapid output of measurement data reports. Summary of the Invention

[0004] The purpose of this invention is to propose a method and data processing software for optimizing the shortwave smoothness of rocket sled tracks, thereby solving the problems of long optimization and calibration cycles, high difficulty, and low efficiency in existing rocket sled track smoothness optimization methods.

[0005] This invention is achieved through the following technical solutions: A method for optimizing the shortwave smoothness of a rocket sled trajectory includes the following steps: (1) The straightness of the track is measured and detected by using a laser tracker. The straightness of the long track is measured in sections using a laser tracker. The measurement section is set to 60 meters. The two nearest reference points are connected in each section. Seven (or more) common track measurement points are overlapped at the junction of two adjacent measurement stations. The common measurement points of adjacent measurement sections are then smoothly overlapped.

[0006] (2) The coordinate transformation is completed in the Spatial Analysis data processing software that comes with the laser tracker. The spatial coordinates of the slide rail measured by the laser tracker are three-dimensional coordinates based on the coordinate system of the instrument station center. This coordinate system is a spatial rectangular coordinate system with the instrument center as the origin and the horizontal plane passing through the origin as the XOY plane. The Spatial Analysis software can complete the conversion calculation of the measurement data from the station center coordinate system to the track coordinate system. The coordinate results after conversion are output as a txt document. The document stores the three-dimensional coordinates in the format of "point name, X, Y, Z". The offset between the inner side of the track and the center line of the designed track is the X coordinate, the height difference between the upper surface of the track and the designed track plane is the Z coordinate, and the mileage of the measurement point from the coordinate origin is the Y coordinate.

[0007] (3) Input the track measurement data in batches into a .txt file, and perform overlap calculations on the coordinates of all common points to obtain the full track measurement data. After setting the number of common points between adjacent measurement sections and the limit values ​​for the horizontal and vertical deviations of adjacent track clamping points in the software interface, read the converted .txt coordinate document. The software automatically performs cosine function weighted overlap calculations, and the overlap method for the horizontal and vertical coordinates of common measuring points between adjacent stations is consistent. After the overlap calculation, the data of all 60-meter sections are integrated and calculated into a complete full track straightness detection data.

[0008] (4) Analyze and calculate the required adjustment positions and corresponding adjustment amounts for the track. The track coordinate measurements of adjacent deduction points are as follows: Deduction Point 1 Deduct 2 points The elevation deviation is: The horizontal deviation is: The specified limit value is If the absolute value of the deviation is greater than the limit value, that is... Then adjust point 2, when At that time, the elevation and horizontal adjustment amounts for point 2 are as follows: , ,when At that time, the elevation and horizontal adjustment amounts for point 2 are as follows: , If the adjustment value is positive, the adjustment direction is the positive direction of the coordinate axis; if it is negative, the adjustment direction is the negative direction of the coordinate axis. After adjusting point 2, the result is... If the absolute value of the deviation is not greater than the limit value, then the coordinate values ​​of both point 1 and point 2 remain unchanged. This method is then applied sequentially to calculate the coordinates of points spaced 1 meter apart along the entire track. The principle of this track adjustment calculation method is: under the condition of minimizing the number of adjustment points, to ensure that the horizontal and vertical deviations of adjacent point tracks after the entire adjustment do not exceed the limit value. .

[0009] (5) The software outputs a Word file of the track straightness detection and measurement coordinate report as a detection and measurement record; it automatically extracts and outputs the deduction points that need to be adjusted and the corresponding adjustment amount from the calculation results, and outputs them in the form of an Excel report; the calculation accuracy of the common points of the entire measurement area is displayed in real time in the software.

[0010] (6) On-site personnel perform track calibration work based on the Excel report of adjustment deduction points and calibration amount, and use the prescribed calibration process to adjust the deduction points to achieve optimized calibration of short-wave smoothness of long-distance track.

[0011] The advantages of this invention are: it adjusts the horizontal and vertical deviations of adjacent 1-meter tracks to within the limit value, optimizing the short-wave smoothness of long-distance tracks. Compared with the conventional adjustment method based on the track centerline, it is more efficient, has a shorter adjustment cycle, and requires less workload. It can quickly complete track smoothness optimization and is suitable for track detection and adjustment preparation before high-frequency, high-speed rocket skid tests. The invention also implements multi-segment overlap, over-limit deduction point identification and judgment, corresponding adjustment value calculation, and one-click report output, significantly improving data processing efficiency. Attached Figure Description

[0012] Figure 1 Schematic diagram of track straightness measurement method; Figure 2 Schematic diagram of the instrument's central coordinate system and orbital coordinate system; Figure 3 A schematic diagram showing the calculation results of cosine function weighting comparison and equal weight overlap; Figure 4 Schematic diagram of software functional modules and interface design. Detailed Implementation

[0013] like Figure 1 As shown, this invention is a method for optimizing the shortwave smoothness of a rocket sled track, comprising the following steps: (1) The straightness of the track is measured and detected by using a laser tracker. The straightness of the long track is measured in sections using a laser tracker. The measurement section is set to 60 meters. The two nearest reference points are connected in each section. Seven (or more) common track measurement points are overlapped at the junction of two adjacent measurement stations. The common measurement points of adjacent measurement sections are then smoothly overlapped.

[0014] (2) The laser tracker is equipped with Spatial Analysis data processing software (see...). Figure 4 The coordinate transformation is completed within the specified timeframe. The spatial coordinates of the sliding rail measured by the laser tracker are three-dimensional coordinates based on the instrument station center coordinate system. This coordinate system is a spatial rectangular coordinate system with the instrument center as the origin and the horizontal plane passing through the origin as the XOY plane. The Spatial Analysis software can perform the conversion calculation of the measurement data from the station center coordinate system to the track coordinate system. The converted coordinate results are output as a txt document, which stores the three-dimensional coordinates in the format of "point name, X, Y, Z". The offset between the inner surface of the track and the designed track centerline is the X coordinate, the height difference between the upper surface of the track and the designed track plane is the Z coordinate, and the mileage of the measurement point from the coordinate origin is the Y coordinate. Figure 2 .

[0015] (3) Batch input track measurement data .txt files, and perform overlap calculations on the coordinates of all common points to obtain the full track measurement data. After setting the limit values ​​for the number of common points between adjacent measurement sections, the horizontal and vertical deviations of adjacent deduction points in the software interface, read the converted .txt coordinate document, and the software automatically performs cosine function weighted overlap calculations (see...). Figure 3 The method for overlapping the horizontal and vertical coordinates of common measuring points between adjacent stations is consistent. After overlapping calculations, the data from all 60-meter sections are integrated into a complete track straightness detection dataset.

[0016] (4) Analyze and calculate the required adjustment positions and corresponding adjustment amounts for the track. The track coordinate measurements of adjacent deduction points are as follows: Deduction Point 1 Deduct 2 points The elevation deviation is: The horizontal deviation is: The specified limit value is If the absolute value of the deviation is greater than the limit value, that is... Then adjust point 2, when At that time, the elevation and horizontal adjustment amounts for point 2 are as follows: , ,when At that time, the elevation and horizontal adjustment amounts for point 2 are as follows: , If the adjustment value is positive, the adjustment direction is the positive direction of the coordinate axis; if it is negative, the adjustment direction is the negative direction of the coordinate axis. After adjusting point 2, the result is... If the absolute value of the deviation is not greater than the limit value, then the coordinate values ​​of both point 1 and point 2 remain unchanged. This method is then applied sequentially to calculate the coordinates of points spaced 1 meter apart along the entire track. The principle of this track adjustment calculation method is: under the condition of minimizing the number of adjustment points, to ensure that the horizontal and vertical deviations of adjacent point tracks after the entire adjustment do not exceed the limit value. .

[0017] (5) The software outputs a Word file of the track straightness detection and measurement coordinate report as a detection and measurement record; it automatically extracts and outputs the deduction points that need to be adjusted and the corresponding adjustment amount from the calculation results, and outputs them in the form of an Excel report; the calculation accuracy of the common points of the entire measurement area is displayed in real time in the software.

[0018] (6) On-site personnel perform track calibration work based on the Excel report of adjustment deduction points and calibration amount, and use the prescribed calibration process to adjust the deduction points to achieve optimized calibration of short-wave smoothness of long-distance track.

Claims

1. A method for optimizing the shortwave smoothness of a rocket sled trajectory, characterized by: It includes the following steps: 1) Use a laser tracker to measure and detect the flatness of the track Use a laser tracker to measure the flatness of a long-distance track in sections. Set the measurement section to 60 meters. Measure the two nearest reference points in each section. Overlap and measure more than 7 common measuring points of the slide rail at the junction of adjacent measuring stations. Subsequently, perform smooth lap processing on the common measuring points of adjacent measuring sections; 2) Complete coordinate transformation in the Spatial Analysis data processing software supporting the laser tracker The spatial coordinates of the slide rail measured by the laser tracker are three-dimensional coordinates based on the instrument measuring station center coordinate system. This coordinate system is a spatial rectangular coordinate system with the instrument center as the origin and the horizontal plane passing through the origin as the X - O - Y plane. In the Spatial Analysis software, the conversion calculation of the measurement data from the measuring station center coordinate system to the track coordinate system can be completed. The coordinate results after conversion are output in a txt document. The document stores the three-dimensional coordinates in the format of "fastening point name, X, Y, Z". The offset between the inner side of the track and the designed track center line is the X coordinate, the height difference between the upper surface of the track and the designed track plane is the Z coordinate, and the mileage of the measuring point from the coordinate origin is the Y coordinate; 3) Batch input the track measurement data.txt file and perform lap calculation on the coordinates of all common points to obtain the whole-track measurement data After setting the number of common points between adjacent measurement sections, the tolerance values of the horizontal and elevation direction deviations of adjacent fastening points in the software interface, read the input.txt coordinate document after conversion. The software automatically realizes the weighted lap calculation using the cosine function. The lap methods of the horizontal and elevation direction coordinates of the common measuring points between adjacent measuring stations are the same. After lap calculation, the data of all 60-meter sections are integrated and calculated into a complete whole-track flatness detection data; 4) Analyze and calculate the positions of the track that need to be adjusted and the corresponding adjustment amounts 5) The track coordinate measurements of adjacent clipping points are as follows: Clipping Point 1 Deduct 2 points The elevation deviation is: The horizontal deviation is: The specified limit value is If the absolute value of the deviation is greater than the limit value, that is... Then adjust point 2, when At that time, the elevation and horizontal adjustment amounts for point 2 are as follows: , ,when At that time, the elevation and horizontal adjustment amounts for point 2 are as follows: , If the adjustment value is positive, the adjustment direction is the positive direction of the coordinate axis; if it is negative, the adjustment direction is the negative direction of the coordinate axis. After adjusting point 2, the result is... If the absolute value of the deviation is not greater than the limit value, then the coordinate values ​​of deduction point 1 and deduction point 2 remain unchanged. This method is then used to calculate the coordinates of deduction points spaced 1 meter apart along the entire track. The principle for calculating track adjustment is to ensure that, with the minimum number of adjustment points, the horizontal and vertical deviations of adjacent deduction point tracks after the entire adjustment do not exceed the limit value. .

2. The method for optimizing the shortwave smoothness of a rocket sled track according to claim 1, characterized in that: After the measurement and calculation are completed, the software outputs a Word file of the track flatness detection measurement coordinate report as a detection measurement record; automatically extract and output the fastening points that need to be calibrated and the corresponding adjustment amounts from the calculation results, and output them in the form of an Excel report; the lap calculation accuracy of the common points in the whole measurement area is displayed in real time in the software.

3. The method for optimizing the shortwave smoothness of a rocket sled track according to claim 2, characterized in that: on-site... Personnel perform track calibration operations based on the Excel report of the adjustment fastening points and calibration amounts, and perform fastening point adjustment using the specified calibration process flow to achieve the optimization calibration of the short-wave smoothness of the long-track.