CN116088349A - 基于lstm的火箭半实物仿真数据异常评估方法及决策装置 - Google Patents
基于lstm的火箭半实物仿真数据异常评估方法及决策装置 Download PDFInfo
- Publication number
- CN116088349A CN116088349A CN202310208706.6A CN202310208706A CN116088349A CN 116088349 A CN116088349 A CN 116088349A CN 202310208706 A CN202310208706 A CN 202310208706A CN 116088349 A CN116088349 A CN 116088349A
- Authority
- CN
- China
- Prior art keywords
- data
- semi
- value
- lstm
- physical simulation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004088 simulation Methods 0.000 title claims abstract description 99
- 238000011156 evaluation Methods 0.000 title claims abstract description 23
- 239000013307 optical fiber Substances 0.000 claims abstract description 56
- 238000000034 method Methods 0.000 claims abstract description 25
- 230000008569 process Effects 0.000 claims abstract description 14
- 238000013528 artificial neural network Methods 0.000 claims abstract description 13
- 230000002159 abnormal effect Effects 0.000 claims description 26
- 238000012549 training Methods 0.000 claims description 22
- 238000004364 calculation method Methods 0.000 claims description 21
- RZVHIXYEVGDQDX-UHFFFAOYSA-N 9,10-anthraquinone Chemical compound C1=CC=C2C(=O)C3=CC=CC=C3C(=O)C2=C1 RZVHIXYEVGDQDX-UHFFFAOYSA-N 0.000 claims description 19
- 238000004891 communication Methods 0.000 claims description 16
- 238000006243 chemical reaction Methods 0.000 claims description 15
- 230000005856 abnormality Effects 0.000 claims description 8
- 238000005259 measurement Methods 0.000 claims description 8
- 238000007781 pre-processing Methods 0.000 claims description 5
- 238000007689 inspection Methods 0.000 claims description 4
- 238000012821 model calculation Methods 0.000 claims description 3
- 238000010998 test method Methods 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 2
- 230000002547 anomalous effect Effects 0.000 claims 2
- 238000004422 calculation algorithm Methods 0.000 abstract description 3
- 238000011157 data evaluation Methods 0.000 abstract description 3
- 230000005540 biological transmission Effects 0.000 abstract 1
- 238000003062 neural network model Methods 0.000 abstract 1
- 238000012545 processing Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 239000011159 matrix material Substances 0.000 description 4
- 238000001914 filtration Methods 0.000 description 3
- 239000007921 spray Substances 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 210000002569 neuron Anatomy 0.000 description 2
- 238000005096 rolling process Methods 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 230000004913 activation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 125000004122 cyclic group Chemical group 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000000306 recurrent effect Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Automation & Control Theory (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Description
Claims (9)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310208706.6A CN116088349B (zh) | 2023-03-07 | 2023-03-07 | 基于lstm的火箭半实物仿真数据异常评估方法及决策装置 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310208706.6A CN116088349B (zh) | 2023-03-07 | 2023-03-07 | 基于lstm的火箭半实物仿真数据异常评估方法及决策装置 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN116088349A true CN116088349A (zh) | 2023-05-09 |
CN116088349B CN116088349B (zh) | 2023-06-27 |
Family
ID=86204607
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310208706.6A Active CN116088349B (zh) | 2023-03-07 | 2023-03-07 | 基于lstm的火箭半实物仿真数据异常评估方法及决策装置 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116088349B (zh) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116627157A (zh) * | 2023-07-26 | 2023-08-22 | 东方空间技术(山东)有限公司 | 一种运载火箭的运行控制方法、装置及设备 |
CN116975577A (zh) * | 2023-09-25 | 2023-10-31 | 东方空间技术(山东)有限公司 | 一种火箭半实物仿真数据的处理方法、系统及设备 |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101950157A (zh) * | 2010-07-30 | 2011-01-19 | 北京航空航天大学 | 一种具有高实时性的飞行仿真系统 |
CN104156615A (zh) * | 2014-08-25 | 2014-11-19 | 哈尔滨工业大学 | 基于ls-svm的传感器检测数据点异常检测方法 |
CN106707791A (zh) * | 2016-08-31 | 2017-05-24 | 上海航天控制技术研究所 | 运载火箭控制系统半实物仿真同步评价系统和方法 |
CN108960303A (zh) * | 2018-06-20 | 2018-12-07 | 哈尔滨工业大学 | 一种基于lstm的无人机飞行数据异常检测方法 |
CN110262282A (zh) * | 2019-05-27 | 2019-09-20 | 南京理工大学 | 火箭子级落区控制三轴转台半实物仿真系统及方法 |
WO2021173961A1 (en) * | 2020-02-28 | 2021-09-02 | Nanotronics Imaging, Inc. | Method, systems and apparatus for intelligently emulating factory control systems and simulating response data |
CN113887125A (zh) * | 2021-08-31 | 2022-01-04 | 哈尔滨工业大学 | 一种复杂仿真系统运行有效性评估方法 |
CN113901720A (zh) * | 2021-10-11 | 2022-01-07 | 南京恒星自动化设备有限公司 | 基于深度学习lstm的铁路供电设备状态异常报警的实现方法 |
CN115659508A (zh) * | 2022-10-27 | 2023-01-31 | 航天科工火箭技术有限公司 | 一种推力调节的仿真试验方法、系统及电子设备 |
-
2023
- 2023-03-07 CN CN202310208706.6A patent/CN116088349B/zh active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101950157A (zh) * | 2010-07-30 | 2011-01-19 | 北京航空航天大学 | 一种具有高实时性的飞行仿真系统 |
CN104156615A (zh) * | 2014-08-25 | 2014-11-19 | 哈尔滨工业大学 | 基于ls-svm的传感器检测数据点异常检测方法 |
CN106707791A (zh) * | 2016-08-31 | 2017-05-24 | 上海航天控制技术研究所 | 运载火箭控制系统半实物仿真同步评价系统和方法 |
CN108960303A (zh) * | 2018-06-20 | 2018-12-07 | 哈尔滨工业大学 | 一种基于lstm的无人机飞行数据异常检测方法 |
CN110262282A (zh) * | 2019-05-27 | 2019-09-20 | 南京理工大学 | 火箭子级落区控制三轴转台半实物仿真系统及方法 |
WO2021173961A1 (en) * | 2020-02-28 | 2021-09-02 | Nanotronics Imaging, Inc. | Method, systems and apparatus for intelligently emulating factory control systems and simulating response data |
CN113887125A (zh) * | 2021-08-31 | 2022-01-04 | 哈尔滨工业大学 | 一种复杂仿真系统运行有效性评估方法 |
CN113901720A (zh) * | 2021-10-11 | 2022-01-07 | 南京恒星自动化设备有限公司 | 基于深度学习lstm的铁路供电设备状态异常报警的实现方法 |
CN115659508A (zh) * | 2022-10-27 | 2023-01-31 | 航天科工火箭技术有限公司 | 一种推力调节的仿真试验方法、系统及电子设备 |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116627157A (zh) * | 2023-07-26 | 2023-08-22 | 东方空间技术(山东)有限公司 | 一种运载火箭的运行控制方法、装置及设备 |
CN116627157B (zh) * | 2023-07-26 | 2023-09-29 | 东方空间技术(山东)有限公司 | 一种运载火箭的运行控制方法、装置及设备 |
CN116975577A (zh) * | 2023-09-25 | 2023-10-31 | 东方空间技术(山东)有限公司 | 一种火箭半实物仿真数据的处理方法、系统及设备 |
CN116975577B (zh) * | 2023-09-25 | 2023-12-22 | 东方空间技术(山东)有限公司 | 一种火箭半实物仿真数据的处理方法、系统及设备 |
Also Published As
Publication number | Publication date |
---|---|
CN116088349B (zh) | 2023-06-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN116088349B (zh) | 基于lstm的火箭半实物仿真数据异常评估方法及决策装置 | |
CN112100917B (zh) | 一种基于专家对抗系统的智能船舶避碰仿真测试系统与方法 | |
CN110018687A (zh) | 基于强化学习方法的无人水面船最优轨迹跟踪控制方法 | |
CN107272667B (zh) | 一种基于平行的偏最小二乘法的工业过程故障检测方法 | |
CN108540311B (zh) | 卫星执行机构的故障检测深度学习网络处理方法及装置 | |
Zhang et al. | Learning and near-optimal control of underactuated surface vessels with periodic disturbances | |
US20230367934A1 (en) | Method and apparatus for constructing vehicle dynamics model and method and apparatus for predicting vehicle state information | |
Kang et al. | Tracking of uncertain robotic manipulators using event-triggered model predictive control with learning terminal cost | |
WO2022121932A1 (zh) | 基于自适应深度学习的复杂工业系统智能预报方法、装置、设备及存储介质 | |
CN103399488B (zh) | 基于自学习的多模型控制方法 | |
Xu et al. | Fuzzy adaptive finite time fault-tolerant control for multi-input and multi-output nonlinear systems with actuator faults | |
Xia et al. | Virtual comissioning of manufacturing system intelligent control | |
CN108768750A (zh) | 通信网络故障定位方法及装置 | |
Luzar et al. | Actuators and sensors fault diagnosis with dynamic, state-space neural networks | |
Sun et al. | Composite adaptive locally weighted learning control for multi-constraint nonlinear systems | |
Wang et al. | Data-driven model identification and predictive control for path-following of underactuated ships with unknown dynamics | |
Liu et al. | ${\rm H} _ {\infty} $ Output Tracking Control of Discrete-Time Nonlinear Systems via Standard Neural Network Models | |
CN112859601B (zh) | 机器人控制器设计方法、装置、设备及可读存储介质 | |
Chen et al. | Approximate Optimal Adaptive Prescribed Performance Control for Uncertain Nonlinear Systems With Feature Information | |
Yaseen et al. | A model-free approach to networked control system with time-varying communication delay | |
Song et al. | Guest editorial special issue on new developments in neural network structures for signal processing, autonomous decision, and adaptive control | |
Su et al. | Fault Prediction for Nonlinear System Using Sliding ARMA Combined with Online LS‐SVR | |
Yin et al. | Disturbance observer‐based dynamic optimal setting control | |
CN111310964B (zh) | 一种负荷预测方法及装置 | |
Li et al. | Active Event-Triggered Fault-Tolerant Control Design for Switched Pure-Feedback Nonlinear Systems. |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CP03 | Change of name, title or address |
Address after: 264000 No.1, Haixiang Middle Road, Fengcheng Street, Haiyang City, Yantai City, Shandong Province Patentee after: Dongfang space technology (Shandong) Co.,Ltd. Country or region after: China Patentee after: Dongfang Space (Jiangsu) Aerospace Power Co.,Ltd. Patentee after: Oriental space technology (Beijing) Co.,Ltd. Patentee after: Orient Space (Hainan) Technology Co.,Ltd. Address before: No. 1, Haixiang Middle Road, Fengcheng Street, Haiyang City, Yantai City, Shandong Province, 265100 Patentee before: Dongfang space technology (Shandong) Co.,Ltd. Country or region before: China Patentee before: Oriental space technology (Beijing) Co.,Ltd. Patentee before: Dongfang Space (Jiangsu) Aerospace Power Co.,Ltd. Patentee before: Orient Space (Hainan) Technology Co.,Ltd. Address after: No. 1, Haixiang Middle Road, Fengcheng Street, Haiyang City, Yantai City, Shandong Province, 265100 Patentee after: Dongfang space technology (Shandong) Co.,Ltd. Country or region after: China Patentee after: Oriental space technology (Beijing) Co.,Ltd. Patentee after: Dongfang Space (Jiangsu) Aerospace Power Co.,Ltd. Patentee after: Orient Space (Hainan) Technology Co.,Ltd. Address before: No. 1, Haixiang Middle Road, Fengcheng Street, Haiyang City, Yantai City, Shandong Province, 265100 Patentee before: Dongfang space technology (Shandong) Co.,Ltd. Country or region before: China Patentee before: Oriental space technology (Beijing) Co.,Ltd. Patentee before: Oriental space (Xi'an) Aerospace Technology Co.,Ltd. Patentee before: Orient Space (Hainan) Technology Co.,Ltd. |