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New Crowdin translations - ko (#24565)
Co-authored-by: Crowdin Bot <support+bot@crowdin.com>
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docs/ko/config/_autotune.md

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@@ -98,9 +98,17 @@ The test steps are:
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4. The drone will first start to perform quick roll motions followed by pitch and yaw motions.
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The progress is shown in the progress bar, next to the _Autotune_ button.
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5. <div style="display: inline;" v-if="$frontmatter.frame === 'Multicopter'">Manually land and disarm to apply the new tuning parameters.
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Takeoff carefully and manually test that the vehicle is stable.</div><div v-else-if="$frontmatter.frame === 'Plane'">The tuning will be immediately/automatically be applied and tested in flight (by default).
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PX4 will then run a 4 second test and revert the new tuning if a problem is detected.</div>
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<div style="display: inline;" v-if="$frontmatter.frame === 'Multicopter'">
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5. Manually land and disarm to apply the new tuning parameters.
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Takeoff carefully and manually test that the vehicle is stable.
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</div><div v-else-if="$frontmatter.frame === 'Plane'">
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5. The tuning will be immediately/automatically be applied and tested in flight (by default).
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PX4 will then run a 4 second test and revert the new tuning if a problem is detected.
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</div>
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:::warning
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If any strong oscillations occur, land immediately and follow the instructions in the [Troubleshooting](#troubleshooting) section below.
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<div v-else-if="$frontmatter.frame === 'Plane'">
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- Autotuning can also be run in [Altitude mode](../flight_modes_fw/altitude.md) or [Position mode](../flight_modes_fw/position.md).
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그러나 직선으로 비행하면서 테스트를 실행하면 더 큰 튜닝 안전 영역이 필요하며, 더 좋은 튜닝 결과를 보장하지 않습니다.
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However running the test while flying straight requires a larger safe area for tuning, and does not give a significantly better tuning result.
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</div>
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</div>
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### 자동 튜닝 실패
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### The auto-tuning sequence fails
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If the drone was not moving enough during auto-tuning, the system identification algorithm might have issues to find the correct coefficients.
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Increase the <div style="display: inline;" v-if="$frontmatter.frame === 'Multicopter'">[MC_AT_SYSID_AMP](../advanced_config/parameter_reference.md#MC_AT_SYSID_AMP)</div><div style="display: inline;" v-else-if="$frontmatter.frame === 'Plane'">[FW_AT_SYSID_AMP](../advanced_config/parameter_reference.md#FW_AT_SYSID_AMP)</div> parameter by steps of 1 and trigger the auto-tune again.
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### 드론이 자동 튜닝 후 진동합니다.
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### The drone oscillates after auto-tuning
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Due to effects not included in the mathematical model such as delays, saturation, slew-rate, airframe flexibility, the loop gain can be too high.
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To fix this, follow the same steps described [when the drone oscillates in the pre-tuning test](#drone-oscillates-when-performing-the-pre-tuning-test).
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### 여전히 정상 작동하지 않는 경우:
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### I still can't get it to work
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Attempt manual tuning using the guides listed in [See also](#see-also) below.
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</div>
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- `0`: the gains are not applied.
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자동 튜닝의 결과를 직접적으로 사용하지 않은 체로 검사하는 경우에 사용합니다.
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This is used for testing purposes if the user wants to inspect results of the auto-tuning algorithm without using them directly.
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- `1`: apply the gains after disarm (default for multirotors).
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이후, 조종자는 주의하여 이륙하면서 튜닝 결과를 테스트할 수 있습니다.
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The operator can then test the new tuning while taking-off carefully.
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- `2`: apply immediately (default for fixed-wings).
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새로운 튜닝이 적용되고, 교란이 컨트롤러로 전송된 후, 다음 4초 동안 안정성이 모니터링됩니다.
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제어 루프가 불안정한 경우, 제어 게인을 즉시 이전 값으로 복원합니다.
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테스트를 통과하면, 조종자는 새로운 튜닝 결과를 사용할 수 있습니다.
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The new tuning is applied, disturbances are sent to the controller and the stability is monitored during the next 4 seconds.
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If the control loop is unstable, the control gains are immediately reverted back to their previous value.
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If the test passes, the pilot can then use the new tuning.
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<div v-if="$frontmatter.frame === 'Plane'">
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</div>
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## 개발자 SDK
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## Developers/SDKs
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Autotuning is started using [MAV_CMD_DO_AUTOTUNE_ENABLE](https://mavlink.io/en/messages/common.html#MAV_CMD_DO_AUTOTUNE_ENABLE) MAVLink command.
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The feature is not yet supported by MAVSDK.
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## 배경 및 세부 사항
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## Background/Detail
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PX4 uses [PID controllers](../flight_stack/controller_diagrams.md) (rate, attitude, velocity, and position) to calculate the outputs required to move a vehicle from its current estimated state to match a desired setpoint.
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The controllers must be well tuned in order to get the best performance out of a vehicle.
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### 자주 묻는 질문
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#### 어떤 기체 유형이 지원됩니까?
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#### What frames types are supported?
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Autotuning is enabled for multicopter, fixed-wing, and hybrid VTOL fixed-wing vehicles.
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While it is not yet enabled for other frame types, in theory it an be used with any frame that uses a rate controller.
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#### 지원되는 모든 기체에 대해 자동 튜닝이 작동됩니까?
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#### Does autotuning work for all supported airframes?
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The mathematical model used by autotuning to estimate the dynamics of the drone assumes this it is a linear system with no coupling between the axes (SISO), and with a limited complexity (2 poles and 2 zeros).
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If the real drone is too far from those conditions, the model will not be able to represent the real dynamics of the drone.
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In practise, autotuning generally works well for fixed-wing and multicopter, provided the frame is not too flexible.
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#### 자동 튜닝은 얼마나 걸립니까?
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#### How long does autotuning take?
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Tuning takes 5s-20s per axis (aborted if tuning could not be established in 20s) + 2s pause between each axis + 4s of testing if the new gains are applied in air.
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