JP2020064021A - ダンパの振動試験装置 - Google Patents
ダンパの振動試験装置 Download PDFInfo
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- JP2020064021A JP2020064021A JP2018197264A JP2018197264A JP2020064021A JP 2020064021 A JP2020064021 A JP 2020064021A JP 2018197264 A JP2018197264 A JP 2018197264A JP 2018197264 A JP2018197264 A JP 2018197264A JP 2020064021 A JP2020064021 A JP 2020064021A
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- 230000008602 contraction Effects 0.000 claims abstract description 74
- 238000012937 correction Methods 0.000 claims abstract description 32
- 230000001133 acceleration Effects 0.000 claims abstract description 26
- 238000006243 chemical reaction Methods 0.000 claims abstract description 23
- 238000006073 displacement reaction Methods 0.000 claims abstract description 23
- 238000003062 neural network model Methods 0.000 claims abstract description 8
- 238000012360 testing method Methods 0.000 claims description 21
- 230000010363 phase shift Effects 0.000 abstract 1
- 238000013016 damping Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 3
- 238000012546 transfer Methods 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- ORILYTVJVMAKLC-UHFFFAOYSA-N Adamantane Natural products C1C(C2)CC3CC1CC2C3 ORILYTVJVMAKLC-UHFFFAOYSA-N 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 239000010720 hydraulic oil Substances 0.000 description 1
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Abstract
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Claims (2)
- テレスコピック型のダンパに振動を与えるアクチュエータと、
前記ダンパの伸縮変位、伸縮速度および伸縮加速度の三つの情報のうち90度位相がずれた二つ情報を検知する検知器と、
目標指令を前記検知器で検知した情報の入力によってニューラルネットワークモデルを利用して前記ダンパの反力を打ち消す補正値を求める補正器を有し、前記補正値で前記目標指令を補正して得た補正指令を前記アクチュエータへ与えて前記アクチュエータを制御するコントローラとを備えた
ダンパの振動試験装置。 - 前記検知器は、前記伸縮変位、前記伸縮速度および前記伸縮加速度の三つの情報の全部を検知し、
前記補正器は、前記伸縮変位、前記伸縮速度および前記伸縮加速度の三つの情報を利用して前記目標指令を補正する前記補正値を得る
ことを特徴とする請求項1に記載のダンパの振動試験装置。
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JP2020064021A true JP2020064021A (ja) | 2020-04-23 |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112113755A (zh) * | 2020-09-02 | 2020-12-22 | 西安交通大学 | 一种基于深度卷积-峭度神经网络的机械故障智能诊断方法 |
CN117382909A (zh) * | 2023-12-07 | 2024-01-12 | 山西助我飞科技有限公司 | 一种飞机起落架疲劳特性测试组件 |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
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JPS63163254A (ja) * | 1986-12-26 | 1988-07-06 | Shimadzu Corp | 材料試験機の制御方法 |
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JPS63163254A (ja) * | 1986-12-26 | 1988-07-06 | Shimadzu Corp | 材料試験機の制御方法 |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112113755A (zh) * | 2020-09-02 | 2020-12-22 | 西安交通大学 | 一种基于深度卷积-峭度神经网络的机械故障智能诊断方法 |
CN117382909A (zh) * | 2023-12-07 | 2024-01-12 | 山西助我飞科技有限公司 | 一种飞机起落架疲劳特性测试组件 |
CN117382909B (zh) * | 2023-12-07 | 2024-02-09 | 山西助我飞科技有限公司 | 一种飞机起落架疲劳特性测试组件 |
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