CN117688826A - 一种海射火箭子级回收方法、设备及存储介质 - Google Patents
一种海射火箭子级回收方法、设备及存储介质 Download PDFInfo
- Publication number
- CN117688826A CN117688826A CN202310857606.6A CN202310857606A CN117688826A CN 117688826 A CN117688826 A CN 117688826A CN 202310857606 A CN202310857606 A CN 202310857606A CN 117688826 A CN117688826 A CN 117688826A
- Authority
- CN
- China
- Prior art keywords
- recovery
- sea
- rocket
- reinforcement learning
- sub
- 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.)
- Pending
Links
- 238000011084 recovery Methods 0.000 title claims abstract description 91
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 78
- 230000002068 genetic effect Effects 0.000 claims abstract description 40
- 230000009471 action Effects 0.000 claims abstract description 36
- 230000002787 reinforcement Effects 0.000 claims abstract description 36
- 238000012549 training Methods 0.000 claims abstract description 20
- 238000005457 optimization Methods 0.000 claims abstract description 18
- 230000006399 behavior Effects 0.000 claims abstract description 8
- 230000006870 function Effects 0.000 claims description 18
- 238000013528 artificial neural network Methods 0.000 claims description 13
- 238000012546 transfer Methods 0.000 claims description 13
- 238000013461 design Methods 0.000 claims description 12
- 230000003993 interaction Effects 0.000 claims description 11
- 230000035772 mutation Effects 0.000 claims description 11
- 230000008569 process Effects 0.000 claims description 10
- 230000007613 environmental effect Effects 0.000 claims description 9
- 239000000446 fuel Substances 0.000 claims description 6
- 230000007246 mechanism Effects 0.000 claims description 5
- 238000004064 recycling Methods 0.000 claims description 5
- 238000012544 monitoring process Methods 0.000 claims description 4
- 108090000623 proteins and genes Proteins 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 3
- 238000003062 neural network model Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 description 6
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000011217 control strategy Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 231100000310 mutation rate increase Toxicity 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
- 229940102903 take action Drugs 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Description
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310857606.6A CN117688826A (zh) | 2023-07-13 | 2023-07-13 | 一种海射火箭子级回收方法、设备及存储介质 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310857606.6A CN117688826A (zh) | 2023-07-13 | 2023-07-13 | 一种海射火箭子级回收方法、设备及存储介质 |
Publications (1)
Publication Number | Publication Date |
---|---|
CN117688826A true CN117688826A (zh) | 2024-03-12 |
Family
ID=90134029
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310857606.6A Pending CN117688826A (zh) | 2023-07-13 | 2023-07-13 | 一种海射火箭子级回收方法、设备及存储介质 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117688826A (zh) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20200105130A1 (en) * | 2017-05-31 | 2020-04-02 | Beijing Didi Infinity Technology And Development Co., Ltd. | Devices and methods for recognizing driving behavior based on movement data |
CN114935890A (zh) * | 2022-04-18 | 2022-08-23 | 西北工业大学 | 基于强化学习的大型柔性结构传感器作动器优化配置方法 |
CN115289917A (zh) * | 2022-08-12 | 2022-11-04 | 中山大学 | 基于深度学习的火箭子级着陆实时最优制导方法及系统 |
CN115524964A (zh) * | 2022-08-12 | 2022-12-27 | 中山大学 | 一种基于强化学习的火箭着陆实时鲁棒制导方法及系统 |
CN116068894A (zh) * | 2023-01-15 | 2023-05-05 | 北京航空航天大学 | 基于双层强化学习的火箭回收制导方法 |
-
2023
- 2023-07-13 CN CN202310857606.6A patent/CN117688826A/zh active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20200105130A1 (en) * | 2017-05-31 | 2020-04-02 | Beijing Didi Infinity Technology And Development Co., Ltd. | Devices and methods for recognizing driving behavior based on movement data |
CN114935890A (zh) * | 2022-04-18 | 2022-08-23 | 西北工业大学 | 基于强化学习的大型柔性结构传感器作动器优化配置方法 |
CN115289917A (zh) * | 2022-08-12 | 2022-11-04 | 中山大学 | 基于深度学习的火箭子级着陆实时最优制导方法及系统 |
CN115524964A (zh) * | 2022-08-12 | 2022-12-27 | 中山大学 | 一种基于强化学习的火箭着陆实时鲁棒制导方法及系统 |
CN116068894A (zh) * | 2023-01-15 | 2023-05-05 | 北京航空航天大学 | 基于双层强化学习的火箭回收制导方法 |
Non-Patent Citations (1)
Title |
---|
DIVA KARTIKA LARASATI等: ""Genetic Algorithms Optimization of a Reinforcement Learning-based Controller for Vertical Landing Rocket Case"", 《2022 IEEE INTERNATIONAL CONFERENCE ON AEROSPACE ELECTRONICS AND REMOTE SENSING TECHNOLOGY (ICARES)》, 31 December 2022 (2022-12-31), pages 1 - 5 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhang et al. | Deep interactive reinforcement learning for path following of autonomous underwater vehicle | |
CN110520868B (zh) | 用于分布式强化学习的方法、程序产品和存储介质 | |
Jeerige et al. | Comparison of deep reinforcement learning approaches for intelligent game playing | |
Han et al. | Reinforcement learning control of constrained dynamic systems with uniformly ultimate boundedness stability guarantee | |
US20230244936A1 (en) | Multi-agent reinforcement learning with matchmaking policies | |
Sledge et al. | Balancing exploration and exploitation in reinforcement learning using a value of information criterion | |
CN112001496B (zh) | 神经网络结构搜索方法及系统、电子设备及存储介质 | |
CN108983605B (zh) | 一种基于深度强化学习进行流体导向的刚体控制的方法 | |
CN115812180A (zh) | 使用奖励预测模型的机器人控制的离线学习 | |
CN116324818A (zh) | 使用增强时间差异学习训练强化学习智能体 | |
US20220410380A1 (en) | Learning robotic skills with imitation and reinforcement at scale | |
CN114290339B (zh) | 基于强化学习和残差建模的机器人现实迁移方法 | |
Pan et al. | A probabilistic deep reinforcement learning approach for optimal monitoring of a building adjacent to deep excavation | |
Peng et al. | Model-based actor-critic with chance constraint for stochastic system | |
CN116892866B (zh) | 一种火箭子级回收轨迹规划方法、设备及存储介质 | |
Sumiea et al. | Enhanced deep deterministic policy gradient algorithm using grey wolf optimizer for continuous control tasks | |
CN116933948A (zh) | 基于改进海鸥算法与反向传播神经网络的预测方法和系统 | |
CN115906673B (zh) | 作战实体行为模型一体化建模方法及系统 | |
CN117688826A (zh) | 一种海射火箭子级回收方法、设备及存储介质 | |
Liu et al. | Her-pdqn: A reinforcement learning approach for uav navigation with hybrid action spaces and sparse rewards | |
CN115289917B (zh) | 基于深度学习的火箭子级着陆实时最优制导方法及系统 | |
CN114861368B (zh) | 一种基于近端策略的铁路纵断面设计学习模型的构建方法 | |
Liu et al. | Forward-looking imaginative planning framework combined with prioritized-replay double DQN | |
CN113723012B (zh) | 一种基于多智能体生成对抗模仿安全学习的协作围捕方法 | |
CN114523990A (zh) | 基于分层强化学习的自动驾驶决策方法和装置 |
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 | ||
CB02 | Change of applicant information |
Country or region after: China Address after: 265118 No.1 Haixiang Middle Road, Fengcheng street, Haiyang City, Yantai City, Shandong Province Applicant after: Dongfang space technology (Shandong) Co.,Ltd. Applicant after: Dongfang Space (Jiangsu) Aerospace Power Co.,Ltd. Applicant after: Oriental space technology (Beijing) Co.,Ltd. Applicant after: Orient Space (Hainan) Technology Co.,Ltd. Address before: 265118 No.1 Haixiang Middle Road, Fengcheng street, Haiyang City, Yantai City, Shandong Province Applicant before: Dongfang space technology (Shandong) Co.,Ltd. Country or region before: China Applicant before: Oriental space technology (Beijing) Co.,Ltd. Applicant before: Dongfang Space (Jiangsu) Aerospace Power Co.,Ltd. Applicant before: Orient Space (Hainan) Technology Co.,Ltd. Country or region after: China Address after: 265118 No.1 Haixiang Middle Road, Fengcheng street, Haiyang City, Yantai City, Shandong Province Applicant after: Dongfang space technology (Shandong) Co.,Ltd. Applicant after: Oriental space technology (Beijing) Co.,Ltd. Applicant after: Dongfang Space (Jiangsu) Aerospace Power Co.,Ltd. Applicant after: Orient Space (Hainan) Technology Co.,Ltd. Address before: 265118 No.1 Haixiang Middle Road, Fengcheng street, Haiyang City, Yantai City, Shandong Province Applicant before: Dongfang space technology (Shandong) Co.,Ltd. Country or region before: China Applicant before: Oriental space technology (Beijing) Co.,Ltd. Applicant before: Oriental space (Xi'an) Aerospace Technology Co.,Ltd. Applicant before: Orient Space (Hainan) Technology Co.,Ltd. |
|
CB02 | Change of applicant information |