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システム/制御/情報 Vol. 17 (2004), 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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システム/制御/情報 Vol. 17 (2004), No. 8

制約を有するシステムに対する周期目標値の生成

杉江 俊治, 鈴木 宙見

pp. 313-320

抄録

This paper is concerned with off-line reference shaping for closed loop systems with input and state constraints. First, we propose a method to generate reference signals which achieve better tracking property for given periodic trajectories subject to the system constraints. The method consists of an initial transition part and a steady-state periodic part. This switching technique separates a tracking problem for an infinite period into two finite ones. Second, its effectiveness is demonstrated by simulations and experiments.

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制約を有するシステムに対する周期目標値の生成

状態方程式に基づく多入出力系の適応内部モデル制御

村松 鋭一, 渡部 慶二

pp. 321-329

抄録

This paper considers an internal model control scheme for multi-input multi-output systems which contain unknown parameters in the coefficient matrices of the state equations. The internal model is adaptively constructed from input and output signals of the plant. We first propose a linear parametric representation for the unknown multi-input multi-output systems. Then, we present an adaptation method such that the output of the internal model is asymptotically identical to that of the plant, guaranteeing stability of the closed-loop system.

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状態方程式に基づく多入出力系の適応内部モデル制御

単一の計測ヘッドで足の全体形状計測を行う三次元足型自動計測機

藤田 日出人, 福本 晋平, 吉田 博明, 若杉 友美, 蚊野 浩

pp. 330-337

抄録

A 3D foot scanning system with a sensor head guided around the foot and a mirror settled below the bottom of foot has been developed. This system measures all of the foot parts below the ankle in 13 seconds. A 3-dimensional path for the sensor head is achieved by using a stereo camera above the sensor head in an off-line process. The shape of the foot obtained from the sensor head and the 3D path of the sensor head are merged, and the entire shape of the foot is re-constructed in an on-line process. These processes make it possible to freely design the path of the sensor head and the optimized path for the foot shape. The accuracy of the foot scanning system is ±1.0 mm for the foot length and ±1.5 mm for the foot perimeter.

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単一の計測ヘッドで足の全体形状計測を行う三次元足型自動計測機

ガス化溶融炉におけるモデル予測制御システムの開発

友近 信行, 新谷 裕和, 西田 吉晴, 中山 万希志, 二階堂 宏央, 下梨 孝

pp. 338-348

抄録

This paper proposes an automatic operation system for pyrolytic gasification and melting furnaces (PGMF), which is composed of a multivariable model predictive control (MMPC) system and a control function for a daily amount of incinerated waste. MMPC is able to stabilize boiler drum pressure, steam generation rate, fluidized bed temperature and the other condition in the furnaces by manipulating waste feeder speed, a steam control valve and primary air flow. Application results at the first fluidized bed type municipal PGMF in Japan show the usefulness of the proposed method, for example stabilizing pyrolytic gasification process, melting process, energy recovery process and a daily amount of incinerated waste.

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ガス化溶融炉におけるモデル予測制御システムの開発

イノベーション過程に基づいた柔軟片持ち梁の衝突発生のオンライン検知

澤田 祐一

pp. 349-357

抄録

In this paper an effective on-line method is proposed for detecting a collision of flexible cantilevered beams such as manipulator with some unlooked-for obstacles. The mathematical model of the flexible cantilevered beam with the collision phenomena is described by an Euler-Bernoulli type partial differential equation with the model of the collision that is described by the time-space function. A scalar function (collision detection function) consisting of the innovation process of the Kalman filter for the finite-dimensional system corresponding to the mathematical model of the flexible beam is introduced for making a decision when a collision occurs. The numerical simulation and the experiment results show that the proposed on-line method obviously detects when the collision occurs.

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イノベーション過程に基づいた柔軟片持ち梁の衝突発生のオンライン検知

強化学習によるコンテナ移動距離に基づくマーシャリング計画

武多 一浩, 平嶋 洋一, 井上 昭, 〓 明聡

pp. 358-360

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強化学習によるコンテナ移動距離に基づくマーシャリング計画

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