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システム/制御/情報 Vol. 30 (2017), No. 8

ISIJ International
belloff
オンライン版ISSN: 2185-811X
冊子版ISSN: 1342-5668
発行機関: THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)

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  8. Vol. 30 (2017)

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  27. Vol. 11 (1998)

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  28. Vol. 10 (1997)

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  29. Vol. 9 (1996)

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  30. Vol. 8 (1995)

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  31. Vol. 7 (1994)

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  32. Vol. 6 (1993)

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  33. Vol. 5 (1992)

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  34. Vol. 4 (1991)

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  35. Vol. 3 (1990)

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  36. Vol. 2 (1989)

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  37. Vol. 1 (1988)

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    5. No.3
    6. No.2
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キーワードランキング

03 Dec. (Last 30 Days)

システム/制御/情報 Vol. 30 (2017), No. 8

サイクル解析に基づいた海洋温度差発電ポテンシャルモデルの構築

松田 吉隆, 浦吉 大輝, 杉 剛直, 後藤 聡, 森﨑 敬史, 安永 健, 池上 康之

pp. 297-304

DOI:

10.5687/iscie.30.297

抄録

In ocean thermal energy conversion (OTEC) plant, electricity is generated by heat energy came from temperature difference between warm seawater at surface and cold seawater in depth. OTEC power potential has been calculated to introduce OTEC plant by considering the seawater condition. In this paper, an OTEC potential model is constructed by taking into account the cycle analysis. First, state quantities and evaluation indexes of an OTEC plant using Rankine cycle are calculated. Secondly, parameters about power potential, purchase cost and environmental burden are calculated. Finally, simulation results are shown to verify the behavior of the constructed model.

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サイクル解析に基づいた海洋温度差発電ポテンシャルモデルの構築

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SVM-based Multi-point Prediction System of Solar Irradiance using DTW-based Cluster Analysis

Tanaka Yukiya, Takahashi Masaki

pp. 305-313

DOI:

10.5687/iscie.30.305

抄録

Unexpected short-term fluctuation of solar irradiance may negatively affect an electric power system; hence, predicting the solar irradiance is necessary. Considering that large quantities of solar power will be introduced across wide areas in the future, this paper addresses multi-point predictions of solar irradiance. Support vector machines (SVMs) perform well for predicting solar irradiance,but involve relatively high computational complexity. In addition, SVMs have to be repeatedly computed at multiple points because prediction models need to be updated regularly to adapt to the season. Here, we introduce a multi-point prediction system that considerably reduces the amount of calculation. Instead of constructing prediction models at all grid points, this system establishes clusters based on similarities of time series data by executing the dynamic time warping algorithm, and then constructs a small number of models representing each cluster. Further, it automatically tunes the number of clusters by inspecting prediction accuracy. Simulation results reveal that the system saves a considerable amount of calculation while maintaining high prediction accuracy.

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ユーザ評価マップに基づく電動アシスト車いすの外乱路面走行制御法

関 弘和

pp. 314-322

DOI:

10.5687/iscie.30.314

抄録

The “power-assisted wheelchair” that assists the driving force by electric motors is expected to be widely used as a mobility support system for elderly people and disabled people; however, there are lots of large disturbance roads such as uphill roads and rough roads and operators need to push handrims with larger power load to obtain enough driving distance and velocity. Therefore this paper proposes a driving control scheme of power-assisted wheelchairs for the comfortable and safety driving on large disturbance roads. This study constructs the individual user evaluation maps with optimal driving parameters in advance in order to realize the comfortable and safety driving which depends on users and disturbance roads. The proposed control system estimates the driving disturbance level and determines some driving parameters based on user evaluation maps. The optimal assistance ratio and target driving distance are designed according to the disturbance level and user preference. Some experiment results are provided to show the effectiveness of the proposed driving control system.

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ユーザ評価マップに基づく電動アシスト車いすの外乱路面走行制御法

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Ris

入出力誤差の分散と共分散の推定を用いた一入力一出力システムに対するパラメータ同定法

小松 信雄

pp. 323-329

DOI:

10.5687/iscie.30.323

抄録

A new algorithm is proposed to estimate parameters of SISO (Single-Input Single-Output) system. The algorithm is an expansion of the previously proposed algorithms by the author with iterative estimation of the variances of noises. The previously proposed algorithms are based on the assumption that input and output noises have no correlation. Whereas, the method proposed in this paper is available even if input and output noises have correlation. This algorithm uses an iterative calculation and it consists of two parts. One part is the estimation of the system parameters by use of the variance and covariance matrix of input and output noises. The estimation of the system parameters is one of the least squares identification algorithms using eigenvector. The other part is the estimation of the variances and covariances of input and output noises using the system parameters. The variances and covariance of noises are estimated by solving linear simultaneous equations derived from the system parameters of transfer functions. The simulation results show the effectiveness of the proposed method.

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入出力誤差の分散と共分散の推定を用いた一入力一出力システムに対するパラメータ同定法

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2入力冗長プラントを対象とした入力冗長性を利用した耐故障適応制御と故障検知

川口 夏樹, 荒木 望, 佐藤 孝雄, 小西 康夫

pp. 330-337

DOI:

10.5687/iscie.30.330

抄録

In this paper, we propose an active fault detection scheme with input redundancy of the plant. The proposed active fault detection scheme aims at quickly detecting of the occurrence of actuator sticking under steady state. In addition, a new fault tolerant control (FTC) design is developed to implement the active fault detection scheme for input redundant 2-input 1-output plant. Finally, the effectiveness of the proposed FTC and the applicability of the proposed active fault detection scheme are verified through several experiments.

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2入力冗長プラントを対象とした入力冗長性を利用した耐故障適応制御と故障検知

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