著者
鈴木 真二
出版者
公益財団法人 日本学術協力財団
雑誌
学術の動向 (ISSN:13423363)
巻号頁・発行日
vol.25, no.5, pp.5_30-5_32, 2020-05-01 (Released:2020-09-25)
参考文献数
4
著者
小松 雄高 鈴木 真二 増位 和也
出版者
一般社団法人日本機械学会
雑誌
交通・物流部門大会講演論文集
巻号頁・発行日
vol.2003, no.12, pp.207-210, 2003-12-08

The algorithm for on-line flight path optimization for emergency landing of aircraft and its flight experiment are discussed in this paper. On-line optimal flight path generation problem is transformed into the state-space search problem and the Tabu Search method with Random Moves is combined to optimize each segment of the state-space search in real-time. We checked the effectiveness of the proposed algorithm in flight simulation, then the plan for the flight experiment scheduled in this October is illustrated. The generated flight path is shown to a pilot in "Tunnel-in-the-Sky" Display, and indicates guidance for emergency landing to the pilot.
著者
鈴木 真二 土屋 武司 柄沢 研治
出版者
東京大学
雑誌
萌芽研究
巻号頁・発行日
2003

事故や故障が発生した場合の航空機の安全な自立的誘導制御技術を研究するとともに、飛行試験を模型航空機で実験する方法の研究を推進するのが本研究の目的である。事故や故障が発生した場合に、機体の姿勢を自動的に安定化する方法に関しては、本年度はニューラルネットワークによるフィードバック誤差学習法を研究し、シミュレーションならびに実機飛行試験によってその有効性を確認した。その結果は、飛行機シンポジウム(日本航空宇宙学会)、交通・物流部門大会(機械学会)において発表し、H18年8月開催予定の誘導制御シンポジウム(米国航空宇宙学会)で講演する。模型飛行機実験に関しては、ラジコン機の製造・飛行を実施し、指定したウェイポイントを自動で飛行する自律飛行試験に成功した。また、携帯電話回線を利用したデータ通信による飛行制御にも成功した。その成果は新聞、TVでも紹介された。模型飛行機の製作と実験に関しては、教育的効果も高いので、他の研究室、専攻も参加する研究科内の研究会プロジェクトを立ち上げ、活動を開始し、本年度は第1回全日本学生室内飛行ロボットコンテストを日本航空宇宙学会の主催により開催した。
著者
上村 常治 鈴木 真二 柄沢 研治
出版者
一般社団法人 日本航空宇宙学会
雑誌
航空宇宙技術
巻号頁・発行日
vol.12, pp.107-109, 2013

The aircraft descent profile has many factors, such as selected airspeed, flight weight, wind, initial altitude, and outside temperature even if fixed idle thrust was assumed. This article tries to prove a rule of thumb that "Even if the wind changes at lower altitude during descent, the flight path will converge at a lower altitude". This may be useful information for flight operation, if it is correct. In addition idle thrust descents are a useful method for fuel economy operation. This paper tries to support this rule of thumb by numerical simulations of flight paths with different wind conditions.
著者
徳永 大知 増位 和也 鈴木 真二
出版者
一般社団法人日本機械学会
雑誌
交通・物流部門大会講演論文集
巻号頁・発行日
vol.2014, no.23, pp.139-142, 2014-11-28

A flight controller based on Simple Adaptive Control (SAC) method was implemented to Multi-Purpose Aviation Laboratory MuPAL-α developed by JAXA (Japan Aerospace Exploration Agency) to demonstrate the effectiveness of SAC flight controller in the serious fault case where the longitudinal stability was suddenly reduced in the air. A parallel feed-forward compensator was added to make the whole system meet the ASPR (Almost Strictly Positive Real) condition that is necessary for the plant to be stabilized by the SAC controller. In order to represent the fault case in a real flight test, a "pseudo-fault term" was added to the original controller equipped with MuPAL-α. Through numerical simulations, hardware in the loop tests and flight experiments, it was revealed that the SAC could stabilize the aircraft with such a fatal fault while a conventional PID control system could not stabilize the plane.
著者
森 亮太 成岡 優 土屋 武司 鈴木 真二
出版者
一般社団法人日本機械学会
雑誌
年次大会講演論文集 : JSME annual meeting
巻号頁・発行日
vol.2006, no.5, pp.469-470, 2006-09-15

A neural network modeling approach has been developed to analyze human pilots' control by utilizing the recorded time history of visual cues and pilot control inputs. An experimental method is developed to record the time histories of visual cues and pilot control inputs by analyzing recorded video data at a real flight. The developed method makes it possible to obtain neural network model of a pilot at a real landing case. In this research, the reliability of this method is confirmed by comparing the video data with GPS/INS data. The obtained results of the contribution ratios and sensitivities reveal the characteristics of the pilot's control.
著者
松浦 晃子 鈴木 真二
出版者
一般社団法人日本機械学会
雑誌
交通・物流部門大会講演論文集
巻号頁・発行日
vol.2006, no.15, pp.245-248, 2006-12-13

This paper presents an on-line navigation and adaptive flight control for waypoint tracking and course tracking of an Unmanned Aerial Vehicle (UAV) using neural network (NN). The UAV learns to fly above the designated points and course. This system consists of a navigation guidance part for making rolling angle command from the relative position of the aircraft and the target or the course, and the Feedback Error Learning (FEL) part for rolling angle control. For waypoint tracking, the rotation rate of the line of sight is needed, and for course tracking, the relative position of the aircraft is needed. FEL is a learning scheme of NN proposed by Kawato et al. The NN controller is included in a conventional feedback (CFB) controller. By minimizing CFB signals through a learning process in FEL, the NN obtains inverse feedforward dynamics of a nonlinear plant, in this case the aileron-rolling angle system. A numerical simulation using this method is performed to show the effectiveness of the method. It is considered that this system is appropriate for small UAVs whose computer resources and measurement hardware are restricted.
著者
森 亮太 鈴木 真二
出版者
一般社団法人日本機械学会
雑誌
交通・物流部門大会講演論文集
巻号頁・発行日
vol.2006, no.15, pp.273-276, 2006-12-13

A neural network modeling approach has been developed to analyze human pilots' landing control at visual approach by utilizing the recorded time history of visual cues and pilot control. In real flight analysis, we develop the new method to obtain the necessary data by analyzing recorded video data. In this research, the accuracy of the obtained data is confirmed by comparing the video data with GPS/INS data. Moreover, several real flight experiments with various flight conditions are carried out and the characteristic of each pilot control method for each flight condition is revealed by contribution ratios analysis and sensitivity analysis.