A data acquisition and processing method for a rotary balance

Abstract

The present invention discloses a data acquisition and processing method for a rotary balance, including: preprocessing work for data acquisition and processing of the rotary balance, the preprocessing work including: determining the rotation direction, determining the load coordinate axis system of the rotary balance, and calibrating the rotary balance and calculating the initial azimuth of the rotary balance; collecting data from the rotary balance, collecting the output voltage value of the rotary balance, and obtaining six components of the load on the rotor according to the calibration result, the initial azimuth, and the coordinate conversion relationship in step 1; step 3, performing data processing on the collected output voltage value of the rotary balance. The technical solution provided by the present invention solves the problem that the existing method of using a frame balance to measure the force of the rotor needs to use a diaphragm coupling to connect the rotor shaft, which causes the diaphragm coupling to bring errors to the measurement results of the frame balance.

Description

Technical Field

[0001] The invention relates to the field of, but not limited to, helicopter rotor test technology, and in particular to a data acquisition and processing method for a rotating balance. Background Art

[0002] In the development of helicopters, rotor performance has always been the focus of rotor research. The main equipment to measure rotor performance is the rotor test bench. The rotor test bench mainly uses a rotating balance to measure rotor force, thereby judging the performance of the rotor.

[0003] Currently, the force measuring balance mainly used to measure the rotor force is a fixed frame balance, which not only has the problems of large size and complex structure, but also when using the frame balance to measure the rotor force of the rotor in a rotating state, the rotor shaft needs to be connected with a diaphragm coupling, which will bring errors to the measurement results of the frame balance. Summary of the invention

[0004] The purpose of the present invention is: an embodiment of the present invention provides a data acquisition and processing method for a rotating balance to solve the problem that the existing method of using a frame balance to measure the force of the rotor needs to use a diaphragm coupling to connect the rotor shaft, which leads to errors in the measurement results of the frame balance due to the diaphragm coupling.

[0005] The technical solution of the present invention is:

[0006] An embodiment of the present invention provides a data collection and processing method for a rotary balance, comprising:

[0007] The bearing seat, the photoelectric encoder and the rotary balance are sleeved on the rotor shaft in sequence, the top of the moving ring of the collector ring is connected to the lower end of the rotor shaft, the stationary ring is fixedly connected to the bearing seat, and the rotor hub is sleeved on the top of the rotor shaft. The method includes:

[0008] Step 1, preprocessing work for data collection and processing of the rotating balance, the preprocessing work includes: determining the rotation direction, determining the load coordinate axis system of the rotating balance, and calibrating the rotating balance and calculating the initial azimuth angle of the rotating balance

[0009] Step 2: collect data from the rotating balance, collect the output voltage value of the rotating balance, and calculate the value according to the calibration result in step 1 and the initial azimuth angle. Coordinate transformation relationship, the six components of the load on the rotor are obtained;

[0010] Step 3, performing data processing on the collected output voltage value of the rotary balance.

[0011] Optionally, in the data acquisition and processing method of the rotation balance as described above, step 1 comprises:

[0012] Step 11, determining the rotation direction of the rotating balance as the rotation direction of the rotor shaft;

[0013] Step 12, based on the earth axis system XOZ, determine that the load coordinate axis system of the rotating balance is the balance axis system X'OZ';

[0014] Step 13, calibrating the rotary balance to obtain the relationship between each component of the input load and the output voltage value of the rotary balance;

[0015] Step 14, calculate the initial azimuth of the rotating balance

[0016] Optionally, in the data acquisition and processing method for the rotary balance as described above, the calibration method in step 13 is:

[0017] A standard load is applied to the rotating balance so that each channel of the rotating balance outputs a corresponding voltage. The relationship between each component of the input load and the output voltage value of the rotating balance is determined by the input standard load and the output voltage value.

[0018] Optionally, in the data acquisition and processing method for the rotary balance as described above, the calibration result of step 13 is expressed as:

[0019] F i =K i1 N i +K i2 N i 2 ;

[0020] Among them, N i =ΔN i -Σ(K ji1 ·F j +K ji2 ·F j 2 )-ΣK mni ·F m ·F n ;

[0021] F i is the magnitude of the i-th component of the input load;

[0022] N i is the output voltage value after the output voltage values ​​of each channel corresponding to the i-th component are combined;

[0023] ΔNi is the final reading minus the initial reading of the voltage value after the voltage values ​​of each channel output corresponding to the i-th component are combined. For example, for the i-th component, when the applied load is 0, the voltage value output after the voltage combination is N0. After applying a load of any size, the voltage value output after the voltage combination is N1. ΔNi=N1-N0;

[0024] K i1 and K i2 , are the principal coefficient and square coefficient of the i-th component of the input load respectively;

[0025] K ji1 and K ji2 , are the linear interference coefficient and square interference coefficient of component j on component i respectively;

[0026] K mni is the cross-interference coefficient of m component and n component on i component;

[0027] i={X, Y, Z, Mx, My, Mz},

[0028] j={X, Y, Z, Mx, My, Mz}, and j≠i;

[0029] m={X, Y, Z, Mx, My, Mz},

[0030] n={X, Y, Z, Mx, My, Mz}, and m≠n.

[0031] Optionally, in the data acquisition and processing method of the rotation balance as described above, step 14 comprises:

[0032] By aligning the 0-azimuth hole of the photoelectric encoder with the X-axis of the earth axis system, the initial azimuth of the rotating balance is calculated based on the earth axis system and the balance axis system.

[0033] Optionally, in the data acquisition and processing method of the rotary balance as described above, step 2 comprises:

[0034] Step 21, adjust the balance axis system of the rotating balance to be consistent with the earth axis system, and power on to collect the initial output voltage value S0 of the rotating balance;

[0035] Step 22, when the 0-position hole of the photoelectric encoder rotates to the sensing position of the photoelectric sensor so that the photoelectric sensor outputs a pulse signal, data S1 of the first point is collected;

[0036] Step 23, the rotor shaft drives the photoelectric encoder to rotate synchronously, and when the second point of the equal azimuth hole in the photoelectric encoder passes through the photoelectric sensor, the photoelectric sensor outputs a pulse signal, thereby collecting data S2 of the second point; the rotor shaft drives the photoelectric encoder to rotate the first circle, and the data corresponding to the equal azimuth holes of the first circle of the photoelectric encoder are collected as data of points S1 to S64;

[0037] Step 24, according to the data collection method of the first circle of equal azimuth holes of the photoelectric encoder, the photoelectric encoder is driven by the rotor shaft to rotate the second circle, and the data corresponding to the second circle of equal azimuth holes of the photoelectric encoder are collected. The data corresponding to the equal azimuth holes of the photoelectric encoder are continuously collected when the photoelectric encoder rotates 80 circles, and the data of each point in each circle collected is saved.

[0038] Optionally, in the data acquisition and processing method of the rotary balance as described above, step 3 comprises:

[0039] Step 31, storing the output voltage value of the rotary balance obtained by rotating the photoelectric encoder disk 80 times according to a preset method;

[0040] Step 32, performing average processing on the output voltage value of the rotary balance obtained by continuously rotating the photoelectric encoder disk for 10 turns, averaging the output voltage values ​​corresponding to 10 turns as the output voltage value of 1 turn and storing it;

[0041] Step 33, according to the rotary balance calibration formula, calculate the six components of the rotary balance load corresponding to the initial output voltage value S0, and the output voltage value of each data point after the 10 consecutive circles of average processing in step 32, and calculate the six components of the rotary balance load corresponding to each output voltage value;

[0042] Step 34, according to the rotary balance solution formula, solve the rotor aerodynamic load under the earth axis system of the output voltage value of the rotary balance corresponding to each orientation hole of the photoelectric code disk;

[0043] Step 35, calculating six components of the average load on the rotor according to the rotor aerodynamic loads corresponding to the various orientation holes of the photoelectric encoder;

[0044] Step 36, perform Fourier transform on the rotor aerodynamic load of the rotating balance in the earth axis system corresponding to each orientation of the photoelectric encoder, and calculate the output load corresponding to the rotational speed base frequency.

[0045] Optionally, in the data collection and processing method for the rotating balance as described above, the rotating balance solution formula used in step 34 includes: solution formulas corresponding to the six components of the rotating balance load, specifically including:

[0046]

[0047] Optionally, in the data acquisition and processing method of the rotation balance as described above, step 35 comprises:

[0048] Fourier transform is applied to 512 values ​​of the six components of the average load on the rotor to calculate the corresponding output load at the fundamental frequency of the speed.

[0049] The beneficial effects of the present invention are:

[0050] The embodiment of the present invention proposes a data acquisition and processing method for a rotating balance. The key point is to first use a photoelectric code disk to collect data in an equiazimuth manner, and use the coordinate conversion between the balance axis system (i.e., the rotating coordinate axis system) and the earth axis system (non-rotating coordinate axis system) to achieve the purpose of using the rotating balance to measure the aerodynamic load of the rotor; specifically, the rotating balance rotates with the rotor axis, and during the rotation of the rotating balance, the measured force in the rotating coordinate system output by the rotating balance is converted into the rotor force in the non-rotating coordinate system (specifically the earth axis system), thereby realizing the measurement of the rotor performance. The data acquisition and processing method of the rotating balance provided by the embodiment of the present invention solves the problem of measuring the rotor load on the coaxial rigid twin rotors, and obtains accurate and reliable performance data of the coaxial rotors; in addition, by introducing a rotating balance to measure the force of the coaxial rotors, the windward area of ​​the test bench is greatly reduced, and the test system is made simple and reliable. While introducing the rotating balance measurement, a 5-degree-of-freedom mechanism is introduced to simplify the force of the control system into internal force for measurement, thereby ensuring the accuracy of the measurement. The rotating balance data acquisition and data processing method is applied to obtain accurate and reliable performance data of the coaxial rotors.

[0051] Furthermore, the effectiveness of the method was verified by comparing the results measured by a rotating balance and a frame balance in the same state; the same state refers to the same rotation speed and collective pitch of the rotor. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The accompanying drawings are used to provide a further understanding of the technical solution of the present invention and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the technical solution of the present invention and do not constitute a limitation on the technical solution of the present invention.

[0053] Figure 1 A flow chart of a data collection and processing method for a rotary balance provided by an embodiment of the present invention;

[0054] Figure 2 It is a structural schematic diagram of a rotary balance verification device in an embodiment of the present invention;

[0055] Figure 3 Schematic diagram of the relationship between the earth axis system XOZ and the balance axis system X'OZ' in the embodiment of the present invention;

[0056] Figure 4Schematic diagram of the 0-azimuth hole and the equal-azimuth hole of the photoelectric encoder in an embodiment of the present invention. DETAILED DESCRIPTION

[0057] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those skilled in the art, without departing from the concept of the present invention, several variations and improvements may be made. These all belong to the protection scope of the present invention.

[0058] As described in the above background technology, the existing method of measuring the force of the rotor using a frame balance has the problem of large size and complex structure. On the other hand, when the frame balance is used to measure the rotor force of the rotor in a rotating state, the rotor shaft needs to be connected with a diaphragm coupling, which causes the diaphragm coupling to bring errors to the measurement results of the frame balance.

[0059] In response to the various problems encountered in measuring rotor force using a frame balance as mentioned above, an embodiment of the present invention provides a data acquisition and processing method for a rotating balance. The data acquisition and processing method for a rotating balance addresses the difficulties in existing rotor force measurement and implements data acquisition and data processing for a rotating balance, thereby achieving the purpose of evaluating rotor performance and realizing ground verification of installed rotors.

[0060] The present invention provides the following specific embodiments which can be combined with each other. The same or similar concepts or processes may not be described in detail in some embodiments.

[0061] Figure 1 Flow chart of a data collection and processing method for a rotating balance provided in an embodiment of the present invention. The data collection and processing method for a rotating balance provided in an embodiment of the present invention can be executed by using a rotating balance verification device, such as Figure 2 FIG. 1 is a schematic diagram of the structure of a rotating balance verification device according to an embodiment of the present invention. In the device, a bearing seat, a photoelectric encoder and a rotating balance are sequentially sleeved on the rotor shaft, the top of the moving ring of the collector ring is connected to the lower end of the rotor shaft, the stationary ring is fixedly connected to the bearing seat, the rotor hub is sleeved on the top of the rotor shaft, and the photoelectric encoder is used in conjunction with the photoelectric sensor. The following steps may be included:

[0062] Step 1: Preprocessing of the data collection and processing of the rotating balance. The preprocessing work may include: determining the rotation direction, determining the load coordinate axis system of the rotating balance, calibrating the rotating balance, and calculating the initial azimuth angle of the rotating balance.

[0063] Step 2: collect data from the rotating balance, collect the output voltage value of the rotating balance, and calculate the value according to the calibration result in step 1 and the initial azimuth angle. Coordinate transformation relationship, the six components of the load on the rotor are obtained;

[0064] Step 3, performing data processing on the collected output voltage value of the rotary balance.

[0065] In the embodiment of the present invention, the specific implementation process of the above step 1 may include:

[0066] Step 11, determining the rotation direction of the rotating balance as the rotation direction of the rotor shaft;

[0067] Step 12: Based on the earth axis system XOZ, determine that the load coordinate axis system of the rotating balance is the balance axis system X'OZ'; Figure 3 , which is a schematic diagram of the relationship between the earth axis system XOZ and the balance axis system X'OZ' in an embodiment of the present invention.

[0068] Step 13, calibrating the rotary balance to obtain the relationship between each component of the input load and the output voltage value of the rotary balance;

[0069] Step 14, calculate the initial azimuth of the rotating balance

[0070] In this step, the initial azimuth angle of the rotating balance can be calculated by aligning the 0 azimuth hole of the photoelectric encoder with the X axis of the earth axis system and based on the relationship between the earth axis system and the balance axis system.

[0071] In one implementation of the embodiment of the present invention, the calibration method in the above step 13 is:

[0072] A standard load is applied to the rotating balance (the application method is to apply six components of the standard load in sequence) so that each channel of the rotating balance outputs a corresponding voltage. The relationship between each component of the input load and the output voltage value of the rotating balance is determined by the input standard load and the output voltage value.

[0073] In this implementation, the calibration result of step 13 may be represented as:

[0074] F i =K i1 N i +K i2 N i 2 ;

[0075] Among them, N i =ΔN i -Σ(K ji1 ·F j +K ji2 ·F j 2 )-ΣKmni ·F m ·F n ;

[0076] F i is the magnitude of the i-th component of the input load;

[0077] N i is the output voltage value after the output voltage values ​​of each channel corresponding to the i-th component are combined;

[0078] ΔNi is the final reading minus the initial reading of the voltage value after the voltage values ​​of each channel output corresponding to the i-th component are combined. For example, for the i-th component, when the applied load is 0, the voltage value output after the voltage combination is N0. After applying a load of any size, the voltage value output after the voltage combination is N1. ΔNi=N1-N0;

[0079] K i1 and K i2 , are the principal coefficient and square coefficient of the i-th component of the input load respectively;

[0080] K ji1 and K ji2 , are the linear interference coefficient and square interference coefficient of component j on component i respectively;

[0081] K mni is the cross-interference coefficient of m component and n component on i component;

[0082] i={X, Y, Z, Mx, My, Mz},

[0083] j={X, Y, Z, Mx, My, Mz}, and j≠i;

[0084] m={X, Y, Z, Mx, My, Mz},

[0085] n={X, Y, Z, Mx, My, Mz}, and m≠n.

[0086] In the embodiment of the present invention, the specific implementation process of the above step 2 may include:

[0087] Step 21, adjust the balance axis system of the rotating balance to be consistent with the earth axis system, and power on to collect the initial output voltage value S0 of the rotating balance;

[0088] Step 22, when the 0-position hole of the photoelectric encoder rotates to the sensing position of the photoelectric sensor so that the photoelectric sensor outputs a pulse signal, the data S1 of the first point is collected, and the data S1 is the collected output voltage value of the rotating balance;

[0089] Step 23, the rotor shaft drives the photoelectric encoder to rotate synchronously, and when the second point of the equal azimuth hole in the photoelectric encoder passes through the photoelectric sensor, the photoelectric sensor outputs a pulse signal, thereby collecting data S2 of the second point; the rotor shaft drives the photoelectric encoder to rotate the first circle, and the data corresponding to the equal azimuth holes of the first circle of the photoelectric encoder are collected as data of points S1 to S64;

[0090] like Figure 4 , which is a schematic diagram of the 0-azimuth hole and the equal-azimuth hole of the photoelectric encoder disk in an embodiment of the present invention. Figure 4 The zero pulse hole in the image is the 0-position hole.

[0091] Step 24, according to the data collection method of the first circle of equal azimuth holes of the photoelectric encoder, the photoelectric encoder is driven by the rotor shaft to rotate the second circle, and the data corresponding to the second circle of equal azimuth holes of the photoelectric encoder are collected. The data corresponding to the equal azimuth holes of the photoelectric encoder are continuously collected when the photoelectric encoder rotates 80 circles, and the data of each point in each circle collected is saved.

[0092] In the embodiment of the present invention, the specific implementation process of the above step 3 may include:

[0093] Step 31, storing the output voltage value of the rotary balance obtained by rotating the photoelectric encoder disk 80 times according to a preset method;

[0094] Step 32, performing average processing on the output voltage value of the rotary balance obtained by continuously rotating the photoelectric encoder disk for 10 turns, averaging the output voltage values ​​corresponding to 10 turns as the output voltage value of 1 turn and storing it;

[0095] Step 33, according to the rotary balance calibration formula, calculate the six components of the rotary balance load corresponding to the initial output voltage value S0, and the output voltage value of each data point after the 10 consecutive circles of average processing in step 32, and calculate the six components of the rotary balance load corresponding to each output voltage value;

[0096] Step 34, according to the rotary balance solution formula, solve the rotor aerodynamic load under the earth axis system of the output voltage value of the rotary balance corresponding to each orientation hole of the photoelectric code disk;

[0097] Step 35, calculating six components of the average load on the rotor according to the rotor aerodynamic loads corresponding to the various orientation holes of the photoelectric encoder;

[0098] Step 36, perform Fourier transform on the rotor aerodynamic load of the rotating balance in the earth axis system corresponding to each orientation of the photoelectric encoder, and calculate the output load corresponding to the rotational speed base frequency.

[0099] In a specific implementation of the embodiment of the present invention, the rotation balance solution formula used in the above step 34 includes: solution formulas corresponding to the six components of the rotation balance load, as shown in the following table.

[0100]

[0101] In a specific implementation of the embodiment of the present invention, the specific implementation method of the above step 35 can be: apply Fourier transform to 512 values ​​of the six components of the average load on the rotor to calculate the output load corresponding to the rotational speed base frequency.

[0102] The key point of the data acquisition and processing method of the rotating balance provided in the embodiment of the present invention is to first use a photoelectric code disk to collect data in an equiazimuth manner, and use the coordinate conversion between the balance axis system (i.e., the rotating coordinate axis system) and the earth axis system (non-rotating coordinate axis system) to achieve the purpose of using the rotating balance to measure the aerodynamic load of the rotor; specifically, the rotating balance rotates with the rotor shaft, and during the rotation of the rotating balance, the measured force in the rotating coordinate system output by the rotating balance is converted to the rotor force in the non-rotating coordinate system (specifically the earth axis system), thereby realizing the measurement of the rotor performance. The data acquisition and processing method of the rotating balance provided by the embodiment of the present invention solves the problem of measuring the rotor load on the coaxial rigid twin rotors, and obtains accurate and reliable performance data of the coaxial rotors; in addition, by introducing a rotating balance to measure the force of the coaxial rotors, the windward area of ​​the test bench is greatly reduced, and the test system is made simple and reliable. While introducing the rotating balance measurement, a 5-degree-of-freedom mechanism is introduced to simplify the force of the control system into internal force for measurement, thereby ensuring the accuracy of the measurement. The rotating balance data acquisition and data processing method is applied to obtain accurate and reliable performance data of the coaxial rotors.

[0103] Furthermore, the effectiveness of the method was verified by comparing the results measured by a rotating balance and a frame balance in the same state; the same state refers to the same rotation speed and collective pitch of the rotor.

[0104] The data collection and processing method for a rotary balance provided in an embodiment of the present invention is schematically described below through a specific embodiment.

[0105] The data collection and processing method of the rotary balance provided in this specific embodiment needs to be carried out as follows Figure 2 The data collection and processing method can be implemented by using the rotating balance verification device shown in the figure. The data collection and processing method can include the following specific implementation steps:

[0106] The first step is the preparation for data collection and processing of the rotation balance, including the following specific implementations:

[0107] (1) Determine the rotation direction of the rotating balance, which is the rotation direction of the rotor shaft;

[0108] (2) Define the load coordinate axis system of the rotating balance according to Figure x, where XOZ is the earth axis system, i.e. XOZ is a non-rotating coordinate system, and X'OZ' is the balance axis system, i.e. X'OZ' is a rotating coordinate system;

[0109] (3) Calibrate the rotary balance. Calibration is a pre-completed task that is performed before the rotary balance is installed.

[0110] The calibration method of this step is: apply a standard load to the rotation (the application method can be: apply six components of the standard load in sequence), so that each channel of the rotation balance outputs a corresponding voltage, and through the input standard load and the output voltage value, determine the relationship between each component of the input load and the output voltage value of the rotation balance; the calibration result can be obtained by the following rotation balance calibration formula:

[0111] F i =K i1 N i +K i2 N i 2

[0112] Among them, N i =ΔN i -Σ(K ji1 ·F j +K ji2 ·F j 2 )-ΣK mni ·F m ·F n ;

[0113] F i is the magnitude of the i-th component of the input load;

[0114] N i is the output voltage value after the output voltage values ​​of each channel corresponding to the i-th component are combined;

[0115] ΔNi is the final reading minus the initial reading of the voltage value after the voltage values ​​of each channel output corresponding to the i-th component are combined. For example, for the i-th component, when the applied load is 0, the voltage value output after the voltage combination is N0. After applying a load of any size, the voltage value output after the voltage combination is N1. ΔNi=N1-N0;

[0116] K i1 and K i2 , are the principal coefficient and square coefficient of the i-th component of the input load respectively;

[0117] K ji1 and K ji2 , are the linear interference coefficient and square interference coefficient of component j on component i respectively;

[0118] K mni is the cross-interference coefficient of m component and n component on i component;

[0119] i={X, Y, Z, Mx, My, Mz},

[0120] j={X, Y, Z, Mx, My, Mz}, j≠i

[0121] m={X, Y, Z, Mx, My, Mz},

[0122] n={X, Y, Z, Mx, My, Mz}, m≠n

[0123] (4) Align the 0-azimuth hole of the photoelectric encoder with the X-axis of the earth axis system, and calculate the initial azimuth angle of the rotating balance based on the earth axis system and the balance axis system.

[0124] The second step is to collect data from the rotating balance; collect the output voltage value of the rotating balance, and according to the calibration result in step 1 and the initial azimuth The coordinate transformation relationship is used to obtain the six components of the load on the rotor; this step includes the following specific implementation steps:

[0125] (5) Run the data acquisition system;

[0126] (6) The axis system of the rotating balance is adjusted to be consistent with the earth axis system (i.e., X'OZ' is made to coincide with XOZ by modulation), and the initial output voltage value S0 of the rotating balance is collected by powering on;

[0127] (7) The rotor runs to a specified speed;

[0128] (8) When the 0-position hole of the photoelectric encoder rotates to the sensing position of the photoelectric sensor, the photoelectric sensor outputs a pulse signal to the data acquisition system, and starts to collect the data S1 of the first point, that is, to collect the output voltage value of the rotating balance;

[0129] (9) As the rotor shaft drives the photoelectric encoder to rotate, when the second point of the middle azimuth hole of the photoelectric encoder passes through the photoelectric sensor, the photoelectric sensor outputs a pulse signal to the data acquisition system, and the data acquisition system collects data S2 of the second point;

[0130] (10) Install the above acquisition method, collect the data corresponding to the first circle of equal azimuth holes of the photoelectric encoder as the data of points S1 to S64, among which the data of the last point S64 is collected;

[0131] (11) In the second circle, according to the data collection method of the first circle of the photoelectric encoder, the photoelectric encoder is driven by the rotor shaft to rotate the second circle, and the data corresponding to the second circle of the photoelectric encoder is collected, that is, the data of points S65 to S128 are collected;

[0132] (12) Continuously collect data corresponding to the azimuth holes of the photoelectric encoder after rotating 80 circles;

[0133] (13) The data acquisition system completes the acquisition;

[0134] (14) Save the data of each point in each circle collected above.

[0135] The third step is to process the collected output voltage value of the rotary balance. The data processing specifically includes the following steps:

[0136] (15) The output voltage value of the rotating balance is stored according to the format in Table 1 below. For example, the rotating balance has 8 channels, N1 to N8; S0 includes: the output voltage value of the data point in each channel, namely N10 to N80.

[0137] Table 1 Output voltage value of the rotary balance when the photoelectric encoder rotates one circle

[0138]

[0139]

[0140] (16) In order to reduce signal interference, the data is averaged every 10 circles, that is:

[0141] Average algorithm from 1st to 10th rounds

[0142] (N11+N1 (1*64+1) +N1 (2*64+1) +……+N1 (9*64+1) ) / 10=N1 PJ1

[0143] (N21+N2 (1*64+1) +N2 (2*64+1) +……+N2 (9*64+1) ) / 10=N2 PJ1

[0144] …

[0145] (N81+N8 (1*64+1) +N8 (2*64+1) +……+N8 (9*64+1) ) / 10=N8 PJ1

[0146] Average algorithm from 11th to 20th rounds

[0147] (N1 (10*64+1) +N1 (11*64+1) +N1 (12*64+1) +……+N1 (19*64+1) ) / 10=N1 PJ1

[0148] (N2 (10*64+1) +N2 (11*64+1) +N2 (12*64+1) +……+N2 (19*64+1) ) / 10=N2 PJ1

[0149] …

[0150] (N8 (10*64+1) +N8 (11*64+1) +N8 (12*64+1) +……+N8 (19*64+1) ) / 10=N2 PJ1 Similarly, the output voltage value after averaging every 10 turns is stored in the format of Table 2 below.

[0151] Table 2 Output voltage value of the rotary balance obtained by averaging the photoelectric encoder disk after 10 revolutions

[0152] N1 N2 N3 N4 N5 N6 N7 N8 S0 <![CDATA[N10]]> <![CDATA[N20]]> <![CDATA[N30]]> <![CDATA[N40]]> <![CDATA[N50]]> <![CDATA[N60]]> <![CDATA[N70]]> <![CDATA[N80]]> <![CDATA[S1 PJ ]]> <![CDATA[N1 PJ1 ]]> <![CDATA[N2 PJ1 ]]> <![CDATA[N3 PJ1 ]]> <![CDATA[N4 PJ1 ]]> <![CDATA[N5 PJ1 ]]> <![CDATA[N6 PJ1 ]]> <![CDATA[N7 PJ1 ]]> <![CDATA[N8 PJ1 ]]> <![CDATA[S2 PJ ]]> <![CDATA[N1 PJ2 ]]> <![CDATA[N2 PJ2 ]]> <![CDATA[N3 PJ2 ]]> <![CDATA[N4 PJ2 ]]> <![CDATA[N5 PJ2 ]]> <![CDATA[N6 PJ2 ]]> <![CDATA[N7 PJ2 ]]> <![CDATA[N8 PJ2 ]]> …… …… …… …… …… …… …… …… …… <![CDATA[S63 PJ ]]> <![CDATA[N1 PJ63 ]]> <![CDATA[N2 PJ63 ]]> <![CDATA[N3 PJ63 ]]> <![CDATA[N4 PJ63 ]]> <![CDATA[N5 PJ63 ]]> <![CDATA[N6 PJ63 ]]> <![CDATA[N7 PJ63 ]]> <![CDATA[N8 PJ63 ]]> <![CDATA[S64 PJ ]]> <![CDATA[N1 PJ64 ]]> <![CDATA[N2 PJ64 ]]> <![CDATA[N3 PJ64 ]]> <![CDATA[N4 J64 ]]> <![CDATA[N5 PJ64 ]]> <![CDATA[N6 J64 ]]> <![CDATA[N7 PJ64 ]]> <![CDATA[N8 PJ64 ]]> …… …… …… …… …… …… …… …… …… <![CDATA[S512 PJ ]]> <![CDATA[N1 PJ512 ]]> <![CDATA[N2 PJ512 ]]> <![CDATA[N3 PJ512 ]]> <![CDATA[N4 PJ512 ]]> <![CDATA[N5 PJ512 ]]> <![CDATA[N6 PJ512 ]]> <![CDATA[N7 PJ512 ]]> <![CDATA[N8 PJ512 ]]>

[0153] (17) According to the rotary balance calibration formula (3), the six components of the rotary balance load corresponding to the initial output voltage value S0 are calculated as X0, Y0, Z0. Mx0, My0, Mz0

[0154] (18) According to the balance calibration formula (3), the six components of the rotating balance load corresponding to the output voltage value Sa signal are obtained as Xa, Ya, Za, Mxa, Mya, Mza (a = 1 PJ , 2 PJ , ..., S512 PJ ); that is, the six components of the rotating balance load corresponding to the output voltage value of each data point in each circle after 10-circle mean processing are obtained, as described in the following Table 3.

[0155] Table 3

[0156] X Y Z Mx My Mz S0 <![CDATA[X0]]> <![CDATA[Y0]]> <![CDATA[Z0]]> <![CDATA[Mx0]]> <![CDATA[My0]]> <![CDATA[Mz0]]> <![CDATA[S1 PJ ]]> <![CDATA[X1]]> <![CDATA[Y1]]> <![CDATA[Z1]]> <![CDATA[Mx1]]> <![CDATA[My1]]> <![CDATA[Mz1]]> <![CDATA[S2 PJ ]]> <![CDATA[X2]]> <![CDATA[Y2]]> <![CDATA[Z2]]> <![CDATA[Mx2]]> <![CDATA[My2]]> <![CDATA[Mz2]]> …… …… …… …… …… …… …… <![CDATA[S63 PJ ]]> <![CDATA[X 63 ]]> <![CDATA[Y 63 ]]> <![CDATA[Z 63 ]]> <![CDATA[Mx 63 ]]> <![CDATA[My 63 ]]> <![CDATA[Mz 63 ]]> <![CDATA[S64 PJ ]]> <![CDATA[X 64 ]]> <![CDATA[Y 64 ]]> <![CDATA[Z 64 ]]> <![CDATA[Mx 64 ]]> <![CDATA[My 64 ]]> <![CDATA[Mz 64 ]]> …… …… …… …… …… …… …… <![CDATA[S512 PJ ]]> <![CDATA[X 512 ]]> <![CDATA[Y 512 ]]> <![CDATA[Z 512 ]]> <![CDATA[Mx 512 ]]> <![CDATA[My 512 ]]> <![CDATA[Mz 512 ]]>

[0157] (19) Using the rotation balance solution formula in Table 4 below, calculate the rotor aerodynamic load under the earth axis system for the output voltage value of the rotation balance corresponding to each orientation hole of the photoelectric encoder.

[0158] Table 4

[0159]

[0160] (20) The output voltage value of each data point of the rotating balance is solved to obtain the rotor aerodynamic load under the earth axis system as shown in Table 5. Since the output of the rotating balance includes multiple data points, that is, the output voltage values ​​of multiple azimuth holes.

[0161] Table 5

[0162]

[0163]

[0164] (21) According to the rotor aerodynamic loads corresponding to the various orientation holes of the photoelectric encoder, the six components of the average load on the rotor are calculated as:

[0165] X=(Xd1+Xd2+……+Xd 512 ) / 512-X0

[0166] Y=(Yd1+Yd2+……+Yd 512 ) / 512-Y0

[0167] Z=(Zd1+Zd2+……+Zd 512 ) / 512-Z0

[0168] Mx=(Mxd1+Mxd2+……+Mxd 512 ) / 512-Mx0

[0169] My=(Myd1+Myd2+……+Myd 512 ) / 512-My0

[0170] Mz=(Mzd1+Mzd2+……+Mzd 512 ) / 512-Mz0

[0171] (22) The aerodynamic load of the rotor under the earth axis system corresponding to each orientation of the rotating balance is Fourier transformed (fft) to obtain the output load corresponding to the base frequency of the speed. The specific calculation method is as follows: Fourier transform (fft) is applied to 512 values ​​of the six components (Xd, Yd, Zd, Mxd, Myd, Mzd) of the average load on the rotor to calculate the output force corresponding to the base frequency of the speed.

[0172] Although the embodiments disclosed in the present invention are as above, the contents described are only embodiments adopted to facilitate understanding of the present invention and are not intended to limit the present invention. Any technician in the field to which the present invention belongs can make any modifications and changes in the form and details of implementation without departing from the spirit and scope disclosed in the present invention, but the patent protection scope of the present invention shall still be subject to the scope defined in the attached claims.

Claims

1. A data collection and processing method for a rotating balance, characterized in that: The bearing seat, the photoelectric encoder and the rotary balance are sleeved on the rotor shaft in sequence, the top of the moving ring of the collector ring is connected to the lower end of the rotor shaft, the stationary ring is fixedly connected to the bearing seat, and the rotor hub is sleeved on the top of the rotor shaft. The method includes: Step 1, preprocessing work for data collection and processing of the rotating balance, the preprocessing work includes: determining the rotation direction, determining the load coordinate axis system of the rotating balance, and calibrating the rotating balance and calculating the initial azimuth angle of the rotating balance Step 2: collect data from the rotating balance, collect the output voltage value of the rotating balance, and calculate the value according to the calibration result in step 1 and the initial azimuth angle. Coordinate transformation relationship, the six components of the load on the rotor are obtained; Step 3, performing data processing on the collected output voltage value of the rotary balance; Wherein, the step 1 comprises: Step 11, determining the rotation direction of the rotating balance as the rotation direction of the rotor shaft; Step 12, based on the earth axis system XOZ, determine that the load coordinate axis system of the rotating balance is the balance axis system X'OZ'; Step 13, calibrating the rotary balance to obtain the relationship between each component of the input load and the output voltage value of the rotary balance; Step 14, calculate the initial azimuth of the rotating balance The step 14 comprises: By aligning the 0-azimuth hole of the photoelectric encoder with the X-axis of the earth axis system, the initial azimuth of the rotating balance is calculated based on the earth axis system and the balance axis system. The step 2 comprises: Step 21, adjust the balance axis system of the rotating balance to be consistent with the earth axis system, and power on to collect the initial output voltage value S0 of the rotating balance; Step 22, when the 0-position hole of the photoelectric encoder rotates to the sensing position of the photoelectric sensor so that the photoelectric sensor outputs a pulse signal, data S1 of the first point is collected; Step 23, the rotor shaft drives the photoelectric encoder to rotate synchronously, and when the second point of the equal azimuth hole in the photoelectric encoder passes through the photoelectric sensor, the photoelectric sensor outputs a pulse signal, thereby collecting data S2 of the second point; the rotor shaft drives the photoelectric encoder to rotate the first circle, and the data corresponding to the equal azimuth holes of the first circle of the photoelectric encoder are collected as data of points S1 to S64; Step 24, according to the data collection method of the first circle of equal azimuth holes of the photoelectric encoder, the photoelectric encoder is driven by the rotor shaft to rotate the second circle, and the data corresponding to the second circle of equal azimuth holes of the photoelectric encoder are collected. The data corresponding to the equal azimuth holes of the photoelectric encoder are continuously collected when the photoelectric encoder rotates 80 circles, and the data of each point in each circle collected is saved.

2. The data acquisition and processing method of a rotary balance according to claim 1, characterized in that: The calibration method in step 13 is: A standard load is applied to the rotating balance so that each channel of the rotating balance outputs a corresponding voltage. The relationship between each component of the input load and the output voltage value of the rotating balance is determined by the input standard load and the output voltage value.

3. The data acquisition and processing method of a rotary balance according to claim 2, characterized in that: The calibration result of step 13 is expressed as: F i =K i1 N i +K i2 N i 2 ; Among them, N i =ΔN i -Σ(K ji1 ·F j +K ji2 ·F j 2 )-ΣK mni ·F m ·F n ; F i is the magnitude of the i-th component of the input load; N i is the output voltage value after the output voltage values ​​of each channel corresponding to the i-th component are combined; ΔNi is the final reading minus the initial reading of the voltage value after the output voltage values ​​of each channel corresponding to the i-th component are combined. For the i-th component, when the applied load is 0, the voltage value output after the voltage combination is N0. After applying a load of any size, the voltage value output after the voltage combination is N1. ΔNi=N1-N0; K i1 and K i2 , are the principal coefficient and square coefficient of the i-th component of the input load respectively; K ji1 and K ji2 , are the linear interference coefficient and square interference coefficient of component j on component i respectively; K mni is the cross-interference coefficient of m component and n component on i component; i={X, Y, Z, Mx, My, Mz}, j={X, Y, Z, Mx, My, Mz}, and j≠i; m={X, Y, Z, Mx, My, Mz}, n={X, Y, Z, Mx, My, Mz}, and m≠n.

4. The data collection and processing method for a rotation balance according to any one of claims 1 to 3, characterized in that: The step 3 comprises: Step 31, storing the output voltage value of the rotary balance obtained by rotating the photoelectric encoder disk 80 times according to a preset method; Step 32, performing average processing on the output voltage value of the rotary balance obtained by continuously rotating the photoelectric encoder disk for 10 turns, averaging the output voltage values ​​corresponding to 10 turns as the output voltage value of 1 turn and storing it; Step 33, according to the rotary balance calibration formula, calculate the six components of the rotary balance load corresponding to the initial output voltage value S0, and the output voltage value of each data point after the 10 consecutive circles of average processing in step 32, and calculate the six components of the rotary balance load corresponding to each output voltage value; Step 34, according to the rotary balance solution formula, solve the rotor aerodynamic load under the earth axis system of the output voltage value of the rotary balance corresponding to each orientation hole of the photoelectric code disk; Step 35, calculating six components of the average load on the rotor according to the rotor aerodynamic loads corresponding to the various orientation holes of the photoelectric encoder; Step 36, perform Fourier transform on the rotor aerodynamic load of the rotating balance in the earth axis system corresponding to each orientation of the photoelectric encoder, and calculate the output load corresponding to the rotational speed base frequency.

5. The data collection and processing method of a rotary balance according to claim 4, characterized in that: The rotation balance solution formula used in step 34 includes: the solution formulas of the six components of the rotation balance load from the balance axis system to the earth axis system are respectively: Y = Y; My=My; 6. The data collection and processing method of a rotary balance according to claim 5, characterized in that: The step 35 comprises: Fourier transform is applied to 512 values ​​of the six components of the average load on the rotor to calculate the corresponding output load at the fundamental frequency of the speed.

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