JP2021135365A - Mirror surface compensation value learning device, mirror surface compensation value determining device and mirror surface compensating device - Google Patents

Abstract

To provide a mirror surface compensation value learning device for learning a compensation value of strain of a mirror surface including expansion or shrinkage of a mirror, from affection in the surrounding environment of the mirror other than self weight strain, a mirror surface compensation value determining device and a mirror surface compensating device.SOLUTION: A mirror surface compensation value learning device comprises: a reference compensation value input part 3 to which a compensation value for compensating self weight strain in which a mirror surface warps due to self weight of the mirror, for each posture of the mirror surface, is input, as a reference compensation value; an environment affection compensation value input part 4 to which a compensation value for compensating environmental strain in which the mirror surface warps, including expansion or shrinkage of the mirror, from affection of the surrounding environment of the mirror other than the self weight strain, is input, as an environment affection compensation value, for every environment information being information of the surrounding environment of the mirror; and a learning part 5 for learning a corrected compensation value obtained by correcting the reference compensation value for every environment information, using the environment affection compensation value.SELECTED DRAWING: Figure 2

Description

The present disclosure discloses a mirror surface compensation value learning device that learns a compensation value of a compensator that compensates for distortion of the mirror surface of a mirror in order to maintain the mirror surface accuracy of the mirror at a predetermined accuracy, a mirror surface compensation value determining device using the compensation value, and a mirror surface compensation value determining device using the compensation value. It relates to a mirror surface compensation device.

Conventionally, large antenna devices and large telescope devices are subject to deformation and thermal deformation due to their own weight caused by the gravity tilt of the main reflector support structure that constitutes the main reflector and the secondary reflector support structure that supports the secondary reflector. There is compensation (see, for example, Patent Document 1, Patent Document 2, and Patent Document 3). In Patent Document 3, as a compensator, an actuator that directly applies a force to a structure such as a large antenna device or a large telescope device to compensate for distortion, and an actuator that cools the structure to compensate for distortion due to thermal expansion of the structure. It is disclosed that there is a cooler to be used.

On the other hand, there is a technique for calculating distortion due to thermal deformation of a structure such as a large antenna device or a large telescope device (see, for example, Patent Document 3). Patent Document 3 describes environment-to-temperature information associating environmental data and the temperature of a structure that have an effect of raising or lowering the temperature, and a temperature pair associating the temperature of the structure and the strain of the structure at that temperature. It is disclosed that the strain is calculated based on the strain information.

Further, some telescope devices use a learning model by machine learning using AI (Artificial Intelligence) or the like to correct the focus shift caused by the difference in diopter of the user (see, for example, Patent Document 4). Patent Document 4 discloses a learning function in which a control means for controlling the operation of a reduction optical system drive mechanism for moving a reduction optical system learns a correction amount in a correction operation performed in the past and reflects it in a future correction operation. Has been done.

Japanese Unexamined Patent Publication No. 2005-208227 Japanese Unexamined Patent Publication No. 2011-008083 WO2018 / 139313 Japanese Unexamined Patent Publication No. 2005-141007

However, in the conventional large-sized antenna device and large-sized telescope device, a compensator is used to compensate for the distortion of the mirror surface of the mirror in order to keep the mirror surface accuracy of the mirror at a predetermined accuracy. There is a problem that adjustment is difficult. Therefore, in order to obtain a compensation value that does not require fine adjustment, it is expected that a learning model by machine learning using AI or the like will be utilized, but the correction disclosed in Patent Document 4 has a difference in diopter of the user. There is a problem that it cannot be applied due to the out-of-focus caused by.

The present disclosure has been made to solve the above-mentioned problems, and compensates for the distortion of the mirror surface, including the expansion or contraction of the mirror due to the influence of the surrounding environment of the mirror other than the self-weight distortion. It is an object of the present invention to obtain a mirror surface compensation value learning device to be learned, a mirror surface compensation value determining device using the mirror surface compensation value learning device, and a mirror surface compensation device.

The mirror surface compensation value learning device according to the present disclosure is a mirror surface compensation value learning device that learns the compensation value of the compensator that compensates for the distortion of the mirror surface of the mirror in order to maintain the mirror surface accuracy of the mirror at a predetermined accuracy. The compensation value for compensating for the self-weight distortion that the mirror surface is distorted by the self-weight of the mirror is input as a reference compensation value for each posture of the mirror surface. The compensation value for compensating for the environmental distortion that the mirror surface is distorted, including the expansion or contraction of the mirror due to the influence of the environment, is input as the environmental impact compensation value for each environmental information that is information on the surrounding environment of the mirror. It is characterized by including an environmental impact compensation value input unit and a learning unit that learns a corrected compensation value obtained by correcting the reference compensation value for each environmental information using the environmental impact compensation value. be.

The mirror surface compensation value determining device according to the present disclosure is a mirror surface compensation value learning device that learns the compensation value of the compensator that compensates for the distortion of the mirror surface of the mirror in order to maintain the mirror surface accuracy of the mirror at a predetermined accuracy. The compensation value for compensating for the self-weight distortion that the mirror surface is distorted by the self-weight of the mirror is input as a reference compensation value for each posture of the mirror surface. The compensation value for compensating for the environmental distortion that the mirror surface is distorted, including the expansion or contraction of the mirror due to the influence of the environment, is input as the environmental impact compensation value for each environmental information that is information on the surrounding environment of the mirror. The mirror surface compensation is provided with an environmental impact compensation value input unit and a learning unit that learns the corrected compensation value obtained by correcting the reference compensation value for each environmental information using the environmental impact compensation value. It is a mirror surface compensation device using the learning result of the value learning device, and is input to the environment information input unit based on the learning result learned by the learning unit and the environment information input unit into which the environment information is input. It is characterized by including a corrected compensation value determining unit that determines the corrected compensation value for each posture of the mirror surface from the environmental information.

The mirror surface compensation device according to the present disclosure is the mirror surface compensation value learning device for learning the compensation value of the compensator that compensates for the distortion of the mirror surface of the mirror in order to maintain the mirror surface accuracy of the mirror at a predetermined accuracy. The compensation value for compensating for the self-weight distortion that the mirror surface is distorted by its own weight is input as a reference compensation value for each posture of the mirror surface. From the influence, the compensation value for compensating for the environmental distortion that the mirror surface is distorted, including the expansion or contraction of the mirror, is input as the environmental impact compensation value for each environmental information that is information on the surrounding environment of the mirror. Mirror surface compensation value learning characterized by including an environmental impact compensation value input unit and a learning unit that learns the corrected compensation value obtained by correcting the reference compensation value for each environmental information using the environmental impact compensation value. A mirror surface compensation device using the learning result of the device, the environment information input unit into which the environment information is input, and the environment input to the environment information input unit based on the learning result learned by the learning unit. A mirror surface compensation device including a mirror surface compensation value determining device including a corrected compensation value determining unit that determines the corrected compensation value for each posture of the mirror surface based on the information. It is characterized by including a plurality of the compensators that support it, and a compensator control unit that compensates for distortion of the mirror surface by the compensator using the corrected compensation value determined by the post-correction compensation value determining unit. Is to be.

According to the present disclosure, a mirror surface compensation value learning device capable of learning a corrected compensation value obtained by correcting a reference compensation value for each environmental information by using an environmental impact compensation value for each environmental information which is information on the surrounding environment of the mirror. , A mirror surface compensation value determining device and a mirror surface compensation device using this can be obtained.

FIG. 5 is a conceptual diagram of a telescope device in which a compensator is controlled by the mirror surface compensator according to the first embodiment. It is a functional block diagram of the mirror surface compensation value learning apparatus which concerns on Embodiment 1. FIG. It is a flowchart explaining operation (mirror surface compensation value learning method) of the mirror surface compensation value learning apparatus which concerns on Embodiment 1. FIG. FIG. 5 is a functional block diagram of a mirror surface compensation value learning device and a mirror surface compensation value determining device according to the first embodiment. It is a flowchart explaining operation (mirror surface compensation value determination method) of the mirror surface compensation value determination apparatus which concerns on Embodiment 1. FIG. FIG. 5 is a functional block diagram of a mirror surface compensation value learning device, a mirror surface compensation value determining device, and a mirror surface compensation device according to the first embodiment. FIG. 5 is a functional block diagram of a mirror surface compensation value learning device, a mirror surface compensation value determining device, and a mirror surface compensation device according to the first embodiment.

Embodiment 1.
Hereinafter, the mirror surface compensation value learning device according to the first embodiment, the mirror surface compensation value determining device using the mirror surface compensation value learning device, and the mirror surface compensation device will be described with reference to FIGS. 1 to 7. FIG. 1 is a conceptual diagram of a telescope device in which a compensator is controlled by a mirror surface compensator, which is a preferable example of using a mirror surface compensation value learning device. The telescope device may be an optical telescope or a radio telescope. Further, the target for which the compensator is controlled by the mirror surface compensator is not limited to the telescope device, but may be an antenna device having a reflecting mirror. That is, any structure may be provided with a compensator for compensating the mirror surface. The compensator compensates for distortion of the mirror surface of the mirror (reflector) in order to maintain the mirror surface accuracy of the mirror (reflector) at a predetermined accuracy. The predetermined accuracy is the accuracy of the mirror surface that is required when actually operating the telescope device or the antenna device (structure). In the figure, the same reference numerals indicate the same or corresponding parts, and detailed description thereof will be omitted.

2 and 4 are explanatory views of a mirror surface compensation value learning device (mirror surface compensation value learning method). FIG. 3 is a flowchart illustrating the operation of the mirror surface compensation value learning device (mirror surface compensation value learning method). FIG. 4 is also an explanatory diagram of a mirror surface compensation value determining device (mirror surface compensation value determining method). FIG. 4A is a block diagram of a mirror surface compensation value learning device and a mirror surface compensation value determining device that obtains new environmental information from the outside. FIG. 4B is a block diagram of a mirror surface compensation value learning device and a mirror surface compensation value determining device having an environmental sensor. FIG. 5 is a flowchart illustrating the operation of the mirror surface compensation value determining device (mirror surface compensation value determining method). FIG. 6 is a block diagram of a mirror surface compensation value learning device, a mirror surface compensation value determining device for obtaining new environmental information from the outside, and a mirror surface compensation device. FIG. 7 is a block diagram of a mirror surface compensation value learning device, a mirror surface compensation value determining device having an environmental sensor, and a mirror surface compensation device. In the figure, the same reference numerals indicate the same or corresponding parts, and detailed description thereof will be omitted.

In FIG. 1, the telescope device 1 (antenna device 1, structure 1) has a primary mirror 1A, a support portion 1B for supporting the primary mirror 1A, a secondary mirror 1C, and a stay 1D for supporting the secondary mirror 1C. One end of the stay 1D is connected to a member on the secondary mirror 1C side, and the other end is connected to the support portion 1B. In FIG. 1, since the stay 1D has the primary mirror 1A between the member on the secondary mirror 1C side and the support portion 1B, the primary mirror 1A needs an opening to avoid interference. Therefore, the illustration of the opening of the primary mirror 1A is omitted. Of course, the stay 1D may be arranged so as not to form an opening in the primary mirror 1A and to avoid interference with the primary mirror 1A. More specifically, a compensator 6 is provided between the primary mirror 1A and the support portion 1B. Although details will be described later, the compensator 6 compensates for distortion of the mirror surface of the mirror (primary mirror 1A) in order to maintain the mirror surface accuracy of the mirror (primary mirror 1A) at a predetermined accuracy. Of course, the compensator 6 may be provided between the secondary mirror 1 and the member on the secondary mirror 1C side. That is, the compensator 6 may compensate for the distortion of the mirror surface of the mirror (secondary mirror 1C) in order to maintain the mirror surface accuracy of the mirror (secondary mirror 1C) at a predetermined accuracy.

In FIGS. 2 and 4, the mirror surface compensation value learning device (mirror surface compensation value learning device 2) according to the first embodiment has a reference compensation value input unit 3, an environmental impact compensation value input unit 4, and a learning unit 5. There is. The mirror surface compensation value learning device 2 obtains the compensation value of the compensator 6 that compensates for the distortion of the mirror surface of the mirror in order to maintain the mirror surface accuracy of the mirror (reflecting mirror such as the primary mirror 1A or the secondary mirror 1C) at a predetermined accuracy. It is something to learn. The reference compensation value input unit 3 inputs a compensation value for compensating for the self-weight distortion in which the mirror surface is distorted by the self-weight of the mirror as a reference compensation value for each posture of the mirror surface. The environmental impact compensation value input unit 4 provides a compensation value for compensating for environmental distortion that distorts the mirror surface, including expansion or contraction of the mirror due to the influence of the surrounding environment of the mirror other than the self-weight distortion of the mirror. It is input as an environmental impact compensation value for each environmental information that is the information of.

The reference compensation value input unit 3 and the environmental impact compensation value input unit 4 may input values set for each model of the telescope device 1 (antenna device 1). Similarly, the reference compensation value input unit 3 and the environmental impact compensation value input unit 4 may input values set for each model of the compensator 6. Of course, the set value may be input to the reference compensation value input unit 3 or the environmental impact compensation value input unit 4 for each combination of the model of the telescope device 1 (antenna device 1) and the model of the compensator 6.

Preferably, the reference compensation value input unit 3 uses a compensation value for compensating for the weight distortion of the mirror surface due to the weight of the mirror as the reference compensation value for each elevation angle (angle on the horizontal axis) of the mirror surface for each posture of the mirror surface. Just enter it. When the telescope device 1 (antenna device 1) is driven not only on the vertical axis and the horizontal axis but also on the orthogonal horizontal axis, the reference compensation value input unit 3 is the elevation angle (angle on the horizontal axis) of the mirror surface and the mirror surface. For each combination with the angle on the orthogonal horizontal axis, a compensation value for compensating for the self-weight distortion in which the mirror surface is distorted by the self-weight of the mirror may be input as a reference compensation value. Similarly, preferably, the environmental impact compensation value input unit 4 inputs an environmental impact compensation value for each environmental information such as wind speed, wind direction, amount of solar radiation, temperature, humidity, and weather.

In FIGS. 2 and 4, the learning unit 5 learns the corrected compensation value obtained by correcting the reference compensation value for each environmental information using the environmental impact compensation value. Preferably, the learning unit 5 learns that the environmental impact compensation value is zero if the mirror surface accuracy after the compensator 6 compensates for the distortion of the mirror surface using the reference compensation value and the predetermined accuracy are the same. It is a thing. Alternatively, the learning unit 5 determines the environmental impact compensation value if the difference between the mirror surface accuracy after the compensator compensates for the distortion of the mirror surface using the reference compensation value and the predetermined accuracy is within a predetermined range. Learns as zero.

In FIGS. 2 and 4, the compensator 6 is a plurality of actuators 6 (exemplified in FIG. 1 and the like) that support the mirror (mirror surface), or a temperature adjusting unit 6 that cools or heats the mirror (mirror surface). At least one is sufficient. When the compensator 6 is a plurality of actuators 6, the compensation value is the driving amount of the plurality of actuators 6. When the compensator 6 is the temperature adjusting unit 6, the compensation value is the temperature adjusting amount of the temperature adjusting unit 6.

Preferably, the learning unit 5 adds the necessary additional accuracy to obtain a predetermined accuracy from the mirror surface accuracy and the predetermined accuracy after the compensator 6 compensates for the distortion of the mirror surface using the reference compensation value. The compensation amount of the compensator 6 may be learned for each environmental information and output to the environmental impact compensation value input unit 4 as the environmental impact compensation value. This function may be formed separately from the learning unit 5 as the first learning unit. In this case, the learning unit 5 can be said to be the second learning unit 5.

Preferably, the environmental impact compensation value input unit 4 inputs the environmental impact compensation value associated with the environmental information when the compensator 6 compensates for the distortion of the mirror surface using the reference compensation value. At this time, the environmental impact compensation value obtains a predetermined accuracy when the mirror surface accuracy after the compensator 6 compensates for the distortion of the mirror surface using the reference compensation value deviates from the predetermined accuracy. This is the compensation amount of the additional compensator 6 required for this purpose.

Next, the operation of the mirror surface compensation value learning device according to the first embodiment (the mirror surface compensation value learning method according to the first embodiment) will be described with reference to FIG. In FIG. 3, step 1 is a processing step in which a compensation value for compensating for the self-weight distortion in which the mirror surface is distorted by the self-weight of the mirror is input to the reference compensation value input unit 3 as a reference compensation value for each posture of the mirror surface. In step 2, the environmental impact compensation value input unit 4 is provided with a compensation value for compensating for environmental distortion that distorts the mirror surface, including expansion or contraction of the mirror due to the influence of the surrounding environment of the mirror other than the self-weight distortion of the mirror. This is a processing step that is input as an environmental impact compensation value for each environmental information that is information on the surrounding environment of the mirror. In step 1 and step 2, the order of processing does not matter. It may be at the same time.

In FIG. 4, step 3 tells the learning unit 5 the environmental impact based on the reference compensation value input to the reference compensation value input unit 3 and the environmental impact compensation value input to the environmental impact compensation value input unit 4. This is a processing step of learning the corrected compensation value obtained by correcting the reference compensation value for each environmental information using the compensation value. As described above, machine learning such as AI may be applied to the learning unit 5 (mirror surface compensation value learning device 2). The learning unit 5 (mirror surface compensation value learning device 2) constructs and accumulates a learning model. The other operations of the learning unit 5 are the same as those described in the mirror surface compensation value learning device (mirror surface compensation value learning device 2) according to the first embodiment.

In FIGS. 4 (A) and 4 (B), the mirror surface compensation value determining device (mirror surface compensation value determining device 7) according to the first embodiment is the learning result of the mirror surface compensation value learning device 2 shown in FIGS. 2 and 4. (Learning model) is used. The mirror surface compensation value determining device 7 has an environmental information input unit 8 (input unit 8) and a corrected compensation value determining unit 9. The environmental information input unit 8 is for inputting new environmental information. The new environmental information means that the mirror expands or contracts on the mirror surface of the telescope device 1 (antenna device 1, structure 1) to be compensated for due to the influence of the surrounding environment of the mirror other than the mirror's own weight distortion. This is information on the environment that causes environmental distortion in which the mirror surface is distorted. The corrected compensation value determination unit 9 determines the corrected compensation value for each posture of the mirror surface from the new environmental information input to the environmental information input unit 8 based on the learning result learned by the learning unit 5. be.

The mirror surface compensation value determining device (mirror surface compensation value determining device 7) according to the first embodiment is a posture information input unit 8 (in FIG. 4, the input unit 8 is integrally shown with the environment information input unit 8) or It may further have at least one of the environmental sensors 10 shown in FIG. 4 (B). FIG. 4A is a mirror surface compensation value determining device 7 without the environment sensor 10. FIG. 4B is a mirror surface compensation value determining device 7 having the environment sensor 10. Of course, the new environmental information input to the mirror surface compensation value determining device 7 (environmental information input unit 8) shown in FIG. 4A is obtained from the environmental sensor 10 provided outside the mirror surface compensation value determining device 7. May be good. Also in FIGS. 6 and 7 described later, the posture information input unit 8 is shown integrally with the environment information input unit 8 as the input unit 8.

The posture information input unit 8 inputs posture information, which is information on the posture of the mirror surface. The corrected compensation value determination unit 9 determines the corrected compensation value from the posture information input to the posture information input unit 8. As the attitude information, the elevation angle (angle on the horizontal axis) information of the mirror surface for each attitude of the mirror surface of the telescope device 1 (antenna device 1) can be considered. Further, when the telescope device 1 (antenna device 1) is driven not only on the vertical axis and the horizontal axis but also on the orthogonal horizontal axis, the attitude information is the elevation angle (angle on the horizontal axis) of the mirror surface and the orthogonal horizontal of the mirror surface. It is a combination with the angle on the axis. Of course, in any case, the attitude information may be combined with the angle on the vertical axis of the mirror surface.

The environmental sensor 10 measures new environmental information. The environmental information input unit 8 inputs new environmental information measured by the environmental sensor 10. In this case, the posture information input unit 8 may input posture information that changes with the passage of time. By doing so, it is possible to perform compensation by the compensator 6 in accordance with the posture change of the structure 1 in which the mirror moves and is physically driven and scanned, as in the telescope device 1 and the antenna device 1. .. If the schedule for physically driving and scanning is predetermined, the information may be stored in the mirror surface compensation value determining device 7. For example, it may be held by the input unit 8.

The environmental sensor 10 may be any sensor that can acquire environmental information that is at least one of wind speed, wind direction, amount of solar radiation, temperature, humidity, and weather. If the environmental information is wind speed and direction, a rider device using light waves and a soda device using sound waves are suitable for the environmental sensor 10. If the environmental information is the amount of solar radiation, a pyranometer (pyranometer) is suitable for the environmental sensor 10. If the environmental information is temperature and humidity, a thermo-hygrometer is suitable for the environmental sensor 10. If the environmental information is the weather, a weather radar using radio waves is suitable for the environmental sensor 10. When the wind speed, wind direction, amount of solar radiation, temperature, humidity, and weather are obtained from the forecast, the information from the environmental sensor 10 is obtained via the network. If it is necessary to arrange the environmental sensor 10 in the vicinity of the structure 1 or to form the environmental sensor 10 in the structure 1 itself in order to obtain the environmental information, it is preferable to do so. There may be a plurality of environmental sensors 10 including different functions.

The operation of the mirror surface compensation value determining device according to the first embodiment (the mirror surface compensation value determining method according to the first embodiment) will be described with reference to FIG. In FIG. 5, step 11 is a processing step in which new environmental information is input to the environmental information input unit 8 (input unit 8). Step 12 is a processing step in which the corrected compensation value determining unit 9 uses the learning result (learning model) of the learning unit 5. In step 13, the corrected compensation value determining unit 9 calculates the corrected compensation value for each mirror posture from the new environmental information input to the environmental information input unit 8 based on the learning result learned by the learning unit 5. It is a processing step to decide. The operations of the other environmental information input unit 8 and the corrected compensation value determination unit 9 are the same as those described in the mirror surface compensation value learning device (mirror surface compensation value learning device 2) according to the first embodiment. The same applies when the posture information input unit 8 is added.

In FIGS. 6 and 7, the operation of the mirror surface compensation device according to the first embodiment (the mirror surface compensation method according to the first embodiment) is the learning result (learning model) of the mirror surface compensation value learning device 2 shown in FIGS. 2 and 4. ) And the mirror surface compensation device 11 using the corrected compensation value determined by the mirror surface compensation value determination device 7. FIG. 6 is a mirror surface compensation device using the mirror surface compensation value determining device 7 without the environment sensor 10. FIG. 4B is a mirror surface compensation device using the mirror surface compensation value determining device 7 having the environment sensor 10. Of course, new environmental information input to the mirror surface compensation value determining device 7 (environmental information input unit 8) shown in FIG. 6 may be obtained from an environmental sensor 10 provided outside the mirror surface compensation value determining device 7.

The mirror surface compensation device 11 is, in detail, a mirror surface compensation device 11 including a mirror surface compensation value determination device 7, wherein a plurality of compensators 6 for supporting the mirror surface and a corrected compensation value determination unit 9 have determined the post-correction compensation. It has a compensator control unit 13 that compensates for distortion of the mirror surface by the compensator 6 by using the value via the corrected compensation value input unit 12. The corrected compensation value determination unit 9 and the corrected compensation value input unit 12 may be separated to separate the functions of the mirror surface compensation value determination device 7 from the mirror surface compensation device 11. Further, at least the functional portion of the mirror surface compensation device 11 may be provided in the structure 1 (telescope device 1, antenna device 1).

As shown in FIG. 7, if the environment sensor 10 is arranged in the vicinity of the structure 1 (telescope device 1, antenna device 1), environmental information which is at least one of wind speed, wind direction, amount of solar radiation, temperature, humidity, and weather. Easy to get. When at least a part of the wind speed, the wind direction, the amount of solar radiation, the temperature, the humidity, and the weather is obtained from the forecast, the information from the environmental sensor 10 for the part is obtained via the network. That is, as described above, there may be a plurality of environmental sensors 10 including different functions.

In the mirror surface compensation device (mirror surface compensation device 11) according to the first embodiment, when the posture information input unit 8 inputs the posture information that changes with the passage of time, it is as follows. The compensator control unit 13 uses the corrected compensation value determined by the corrected compensation value determining unit 9 via the corrected compensation value input unit 12 and is changed by the compensator 6 over time. It is possible to compensate for the distortion of the mirror surface according to the change.

As described above, in the mirror surface compensation value learning device according to the first embodiment, the mirror surface compensation value determining device using the mirror surface compensation value learning device, and the mirror surface compensation device, the mirror expands or contracts due to the influence of the surrounding environment of the mirror other than the self-weight distortion of the mirror. By learning the compensation value for the distortion of the mirror surface, including the above, the need for fine-tuning the compensation value can be greatly reduced. If the learning of the learning unit 5 progresses, it becomes possible to obtain an appropriate compensation value (corrected compensation value) even if the posture (posture information) of the mirror surface without teacher data or the environmental information is used.

1 Telescope device (antenna device, structure), 1A primary mirror (mirror), 1B support,
1C secondary mirror (mirror), 1D stay, 2 mirror surface compensation value learning device, 3 reference compensation value input unit,
4 Environmental impact compensation value input unit, 5 Learning unit,
6 Compensator (actuator, temperature controller), 7 Mirror surface compensation value determination device,
8 Input unit (environmental information input unit, posture information input unit), 9 Corrected compensation value determination unit,
10 Environmental sensor, 11 Mirror surface compensation device, 12 Corrected compensation value input unit,
13 Compensator control unit.

Claims (13)

In a mirror surface compensation value learning device that learns the compensation value of the compensator that compensates for distortion of the mirror surface of the mirror in order to maintain the mirror surface accuracy of the mirror at a predetermined accuracy.
The compensation value for compensating for the self-weight distortion that the mirror surface is distorted by the self-weight of the mirror is input as a reference compensation value for each posture of the mirror surface. The compensation value for compensating for the environmental distortion that the mirror surface is distorted, including the expansion or contraction of the mirror due to the influence of the environment, is input as the environmental impact compensation value for each environmental information that is information on the surrounding environment of the mirror. The mirror surface compensation is provided with an environmental impact compensation value input unit and a learning unit that learns the corrected compensation value obtained by correcting the reference compensation value for each environmental information using the environmental impact compensation value. Value learning device. The environmental impact compensation value input unit is input with the environmental impact compensation value associated with the environmental information when the compensator compensates for the distortion of the mirror surface using the reference compensation value.
The environmental impact compensation value is the predetermined accuracy when the mirror surface accuracy after the compensator compensates for the distortion of the mirror surface using the reference compensation value deviates from the predetermined accuracy. The mirror surface compensation value learning device according to claim 1, wherein the compensation amount of the additional compensator is required to obtain the mirror surface compensation value. The learning unit is required to obtain the predetermined accuracy from the mirror surface accuracy and the predetermined accuracy after the compensator compensates for the distortion of the mirror surface using the reference compensation value. The mirror surface compensation value learning according to claim 2, wherein the compensation amount of the additional compensator is learned for each environmental information and output as the environmental impact compensation value to the environmental impact compensation value input unit. Device. If the mirror surface accuracy after the compensator compensates for the distortion of the mirror surface using the reference compensation value and the predetermined accuracy are the same, the learning unit sets the environmental impact compensation value to zero. The mirror surface compensation value learning device according to claim 3, wherein learning is performed. If the difference between the mirror surface accuracy and the predetermined accuracy after the compensator compensates for the distortion of the mirror surface using the reference compensation value is within a predetermined range, the learning unit may use the learning unit. The mirror surface compensation value learning device according to claim 3, wherein the environmental impact compensation value is learned to be zero. Claim 1 is characterized in that the environmental impact compensation value input unit inputs the environmental impact compensation value for each of the environmental information which is at least one of wind speed, wind direction, solar radiation amount, temperature, humidity, and weather. The mirror surface compensation value learning device according to any one of claims 5. The compensator is at least one of a plurality of actuators that support the mirror or a temperature control unit that cools or heats the mirror.
The mirror compensation value learning according to any one of claims 1 to 6, wherein the compensation value is at least one of the driving amount of the actuator and the temperature adjusting amount of the temperature adjusting unit. Device. A mirror surface compensation device using the learning result of the mirror surface compensation value learning device according to any one of claims 1 to 7.
From the environmental information input unit into which the new environmental information is input and the new environmental information input to the environmental information input unit based on the learning result learned by the learning unit, the above-mentioned for each posture of the mirror surface. A mirror surface compensation value determining device including a corrected compensation value determining unit for determining a corrected compensation value. A posture information input unit for inputting posture information which is information on the posture of the mirror surface is further provided, and the corrected compensation value determining unit obtains the corrected compensation value from the posture information input to the posture information input unit. The mirror surface compensation value determining device according to claim 8, wherein the mirror surface compensation value is determined. The mirror surface compensation according to claim 8 or 9, wherein a new environmental sensor for measuring the environmental information is further provided, and the environmental information input unit is input with the environmental information measured by the environmental sensor. Value determination device. The mirror surface compensation value determination according to claim 9, wherein the posture information input unit inputs the posture information that changes with the passage of time, or claim 10. Device. A mirror surface compensation device including the mirror surface compensation value determining device according to any one of claims 8 to 11, wherein the compensator for compensating the mirror surface and the corrected compensation value determining unit have been determined. A mirror surface compensation device including a compensator control unit that compensates for distortion of the mirror surface by the compensator using the corrected compensation value. A mirror surface compensation device including the mirror surface compensation value determining device according to claim 11, wherein the compensator for compensating the mirror surface and the corrected compensation value determined by the corrected compensation value determining unit are used. A mirror surface compensator including a compensator control unit that compensates for the distortion of the mirror surface that changes with the passage of time by the compensator.

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