Browsing by Author "Nakane, Masakatsu"
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Item Automatic Determination of Multiple Malfunction Repair Order on Complex Life Support System(46th International Conference on Environmental Systems, 2016-07-10) Nakane, Masakatsu; Ishikawa, Yoshio; Miyajima, HiroyukiThe purpose of Advanced Life Support System (ALSS) is to achieve life support in the ultimate environment by regenerating and circulating materials in the system. Because of their complexity of material circulation in ALSS, it is difficult to control whole-system material circulations and to handle on abnormal states in the system. Because of this, it is recommended that the material circulation in the system is controlled automatically, and if unpredictable events occur, it is preferable that the system adapts autonomously. We had proposed new autonomous control method based on a hierarchical control, automatic scheduling, and Multi-Agent Reinforcement Learning (MARL) method, and had applied to a simple ALSS model Last year, we stated to discuss about system shrinking situations, and discuss about automatic fallback operation. In this year, we considered if a number of equipment have a trouble at the same time, how to be reacted autonomously by control system. Especially, using mental model, we constructed the mechanism to determine what order should the problem be handled by control system automatically.Item Automatic Determination of Repair Order of Various Device Failures for Material Circulation Control in ALSS by Hierarchical Approach(50th International Conference on Environmental Systems, 7/12/2021) Nakane, Masakatsu; Miyajima, HiroyukiAn Advanced Life Support System (ALSS) achieves life support in the ultimate environment by regenerating materials in the system. Because of their complexity of material circulations in ALSS, it is difficult to control whole-system material circulations and to handle on abnormal situations. Because of this, we suggested that the material circulation in the system is controlled automatically, and if unpredictable events occur, it is preferable that the system adapts autonomously. We had proposed hierarchical and autonomous control method based on automatic scheduling and Multi-Agent Learning Control method. We also considered if a number of equipment have a trouble at the same time, how to be reacted autonomously by control system. We constructed the mechanism to determine the repair order automatically, using hierarchical model that is same as material circulation control system last year. In this year, we calculated material circulation with various failure situations to check our mechanism dealt with it.Item Automatic Identification of Importance of Equipment on Complex Life Support System(2017-07-16) Nakane, Masakatsu; Miyajima, HiroyukiThe purpose of Advanced Life Support System (ALSS) is to achieve life support in the ultimate environment by regenerating and circulating materials in the system. Because of their complexity of material circulation in ALSS, it is difficult to control whole-system material circulations and to handle on abnormal states in the system. Because of this, it is recommended that the material circulation in the system is controlled automatically, and if unpredictable events occur, it is preferable that the system adapts autonomously. We had proposed new autonomous control method based on a hierarchical control, automatic scheduling, and Multi-Agent Reinforcement Learning method, and had applied to a simple ALSS model. Last year, we considered if a number of equipment have a trouble at the same time, how to be reacted autonomously by control system. Especially, using mental model, we constructed the mechanism to determine what order should the problem be handled by control system automatically. In this year, we started how to construct the mental model automatically. Specifically, we considered how to the equipment learned its own importance in the system.Item Automatic Repair Order Determination for Severe Device Failures in Material Circulation Control System using Hierarchical Approach(2020 International Conference on Environmental Systems, 2020-07-31) Nakane, Masakatsu; Miyajima, HiroyukiAn Advanced Life Support System (ALSS) achieves life support in the ultimate environment by regenerating materials in the system. Because of their complexity of material circulation in ALSS, it is difficult to control whole-system material circulations and to handle on abnormal situations. Because of this, it is recommended that the material circulation in the system is controlled automatically, and if unpredictable events occur, it is preferable that the system adapts autonomously. We had proposed new autonomous control method based on a hierarchical control, automatic scheduling, and Multi-Agent Learning Control method. We also considered if a number of equipment have a trouble at the same time, how to be reacted autonomously by control system. We constructed the mechanism to determine the repair order automatically, using hierarchical model that is same as material circulation control system last year. In this year, we calculated material circulation with more severe failure situation to check our mechanism dealt with it.Item Dealing Order Determination for Various Simultaneous Device Failures for Material Circulation Control in ALSS by Hierarchical Approach.(51st International Conference on Environmental Systems, 7/10/2022) Nakane, Masakatsu; Miyajima, HiroyukiAn Advanced Life Support System (ALSS) achieves life support in the ultimate environment by regenerating materials in the system. Because of their complexity of material circulations in ALSS, it is difficult to control whole-system material circulations and to handle on abnormal situations. Because of this, we had proposed hierarchical and autonomous control method based on automatic scheduling and Multi-Agent Learning Control method, and had constructed automatic order determination system to deal with failure machines. We discovered the how much failure equipment can be handled by our procedure last year, but this was only Oxygen circulation system in the lower layer. In this year, we calculated material circulation with various failure situations using the O2 and CO2 gas circulation model in the lower layer to check how much broken equipment our mechanism could deal with it.Item Dynamic Transition to Fallback Operation of Material Circulation Control in Advanced Life Support System using Hierarchical Autonomous Control Method(45th International Conference on Environmental Systems, 2015-07-12) Nakane, Masakatsu; Ishikawa, Yoshio; Miyajima, HiroyukiAdvanced life support systems (ALSs) are designed to recycle and circulates materials within a living environment, and are expected to eventually make it possible to sustain life in outer space. This study addresses a subsystem that recycles the elements of carbon, hydrogen, and oxygen, with planned functions that include waste recycling and food production. We have previously proposed a procedure for such a system that combines automatic scheduling generation and multi-agent learning control and is based on a hierarchical control method. In this study, this procedure is used to simulate material circulation subsequent to the malfunction of a processor in the ALS that renders the processor inoperable. Specifically, a six-day simulation was carried out during which a waste processor stopped operating during the fourth day and remained inoperative. The results indicated that while the upper control layer did not have to carry out rescheduling, there was a time lag on the lower control layer. However, the lower control layer responded to the new environment in time to restore proper control.Item Hierarchical Determination of Repair Order for Complex Material Circulation Control on Life Support System(49th International Conference on Environmental Systems, 2019-07-07) Nakane, Masakatsu; Miyajima, HiroyukiAn Advanced Life Support System (ALSS) achieves life support in the ultimate environment by regenerating and circulating materials in the system. Because of their complexity of material circulation in ALSS, it is difficult to control whole-system material circulations and to handle on abnormal states in the system. Because of this, it is recommended that the material circulation in the system is controlled automatically, and if unpredictable events occur, it is preferable that the system adapts autonomously. We had proposed new autonomous control method based on a hierarchical control, automatic scheduling, and Multi-Agent Learning Control method, and had applied to a simple ALSS model. We also considered if a number of equipment have a trouble at the same time, how to be reacted autonomously by control system. We constructed the mechanism to determine what order should the problem be handled by control system automatically. In this year, we blush up our mechanism of automatic repair order determination. Especially, by applying to hierarchical determination to decision of repair order also, we applied to our mechanism to more complex circulation control system while suppressing the explosive increase in the amount of calculation.Item Long Term Material Circulation Control and Handling Repair Order in ALSS by Hierarchical Approach(2023 International Conference on Environmental Systems, 2023-07-16) Nakane, Masakatsu; Miyajima, HiroyukiAn Advanced Life Support System (ALSS) achieve life support in the ultimate environment by regenerating materials in the system. Because of their complexity of material circulations in ALSS, it is difficult to control whole-system material circulations and to handle on abnormal situations. Because of this, we had proposed hierarchical and autonomous circulation control methodology and had constructed automatic order determination system to deal with failure machines. In this paper, we calculated material circulation for 360 days with several machine failure events. As results, is was confirmed that our hierarchical procedure was useful.Item Material Circulation Control with Modules Addition in Advanced Life Support System using Hierarchical Autonomous Control Method(44th International Conference on Environmental Systems, 2014-07-13) Nakane, Masakatsu; Ishikawa, YoshioAn advanced life support system (ALS) recycles and circulates materials within a system, and will eventually make possible sustained life in outer space. This study addresses a subsystem that recycles the elements of carbon, hydrogen and oxygen, with planned functions that include waste recycling and food production. We have previously proposed a procedure for such a system that combines automatic generation of scheduling and multi- agent reinforcement learning (MARL), based on a hierarchical control method. This procedure is again used in this paper to simulate material circulation during modifications to the ALS. Specifically, one module was added to both the existing human habitation module and the plantation module while the scheduling calculations were in progress. The results indicated that both the upper and the lower control layers successfully adapted to the new environment and performed control. Also, it was demonstrated to be possible to guarantee effective overall control of the ALS, with a flexible response to system modifications, which had been difficult under a decentralized autonomous control scheme alone.Item New ECLSS Simulation Software and Its Demonstration by Manned Mars Missions(45th International Conference on Environmental Systems, 2015-07-12) Moriyama, Eriko; Moroshima, Reiji; Ohura, Satoshi; Hirosaki, Tomofumi; Yamashita, Teruhiro; Iino, Shota; Miyajima, Hiroyuki; Ishikawa, Yoshio; Nakane, Masakatsu; Terao, TakumaThe role of the Environmental Control and Life Support System (ECLSS) is to create a sustainable environment for humans by utilizing plants and physicochemical systems. For future human space missions, more research and practical experiments are desired. Our team has been developing an ECLSS simulator, called SImulator for Closed Life and Ecology (SICLE), for use as a tool in satisfying a wide range of research in ecology and resource recycling. The most significant feature of this simulator is that it can construct environment models by simple operations, applied to both closed and open systems. We ran three simulations on two situations to investigate the behavior of the simulator and to obtain numerical data. The first two models were derived from our Mars exploration operations research at Mars Desert Research Station (MDRS) in the Utah desert. The MDRS model refers to water consumption in a two-week habitation by 6 crew members of Crew 137, Team NIPPON, in a habitat module of MDRS with open air and water systems. SICLE simulation results for the MDRS model show that water flow corresponds to actual measurement values, as well as indicating complete substance exchanges among factors such as air, water and human activities for a hypothetical closed-system model of MDRS. The other model was Inspiration Mars Mission, a partially closed ECLSS with 2 crew members for 501 days, designed by Team Kanau, winner of International Inspiration Mars Student Design Competition. The designed ECLSS model consisted of recycling systems and supplemental storage which compensated for recycling loss as the mission progressed. In the simulation, the tank size was effectively defined by reading possible maximum substance amounts in each tank, and failure event behavior was investigated. We believe that improving SICLE, as it can be applied to a variety of resource recycling and circulation models, contributes to accelerate research in this field.Item Reduction of Calculation Amount of Mental-model Creation for Complex Material Circulation Control on Life Support System(48th International Conference on Environmental Systems, 2018-07-08) Nakane, Masakatsu; Miyajima, HiroyukiAn Advanced Life Support System (ALSS) achieves life support in the ultimate environment by regenerating and circulating materials in the system. Because of their complexity of material circulation in ALSS, it is difficult to control whole-system material circulations and to handle on abnormal states in the system. Because of this, it is recommended that the material circulation in the system is controlled automatically, and if unpredictable events occur, it is preferable that the system adapts autonomously. We had proposed new autonomous control method based on a hierarchical control, automatic scheduling, and Multi-Agent Reinforcement Learning method, and had applied to a simple ALSS model. We also considered if a number of equipment have a trouble at the same time, how to be reacted autonomously by control system. Especially, using mental model, we constructed the mechanism to determine what order should the problem be handled by control system automatically. Last year, we started to consider how to build mental model automatically, because the model is simple however, there are a lot of challenges. In this year, we blush up the way to construct the mental model automatically. Especially, we focus on how to reduce the calculation amount of mental model creation in more complex circulation model.