FullText URL | fulltext.pdf |
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Author | Imai, Jun| Wada, Kiyoshi| |
Keywords | error analysis flexible structures frequency-domain analysis linear programming modelling parameter estimation uncertain systems |
Note | Print ISBN: 0-7803-6638-7| |
Published Date | 2000-12 |
Publication Title | Proceedings of the 39th IEEE Conference on Decision and Control |
Volume | volume4 |
Publisher | IEEE |
Start Page | 3780 |
End Page | 3784 |
ISSN | 0191-2216 |
NCID | BA51644536 |
Content Type | Journal Article |
language | English |
OAI-PMH Set | 岡山大学 |
Copyright Holders | © 2000 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
File Version | publisher |
DOI | 10.1109/CDC.2000.912298 |
Web of Science KeyUT | 000172029000684 |
JaLCDOI | 10.18926/15269 |
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FullText URL | Mem_Fac_Eng_OU_35_47.pdf |
Author | Doumae, Yukihiro| Konishi, Masami| Imai, Jun| Asada, Hideki| Kitamura, Akira| |
Abstract | In this paper, an identification method of motor parameters for the diagnosis of rotor bar defects in the squirrel cage induction motor is proposed. It is difficult to distinguish the degree of deterioration by a conventional diagnostic method such as Fourier analysis. To overcome the difficulty, a motor simulator is used to identify the degree of deterioration of rotors in the squirrel cage induction motor. Using this method, the deterioration of rotor bars in the motor can be estimated quantitatively. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2001-03-27 |
Volume | volume35 |
Issue | issue1-2 |
Start Page | 47 |
End Page | 51 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 120002307181 |
JaLCDOI | 10.18926/46998 |
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FullText URL | mfe_36_1_029_039.pdf |
Author | Imai, Jun| Wada, Kiyoshi| |
Abstract | A procedure for control-oriented modeling is proposed for large flexible structures with unknown modal parameters. Techniques on quantification of errors in modal truncated nominal models are developed for the case where a finite number of upper and lower bounds of the unknown modal parameters are given. A feasible set of systems matching the conditions is introduced, and then error bounds covering the feasible set are established in the frequency domain. The bounds are easily checked using linear programming for any user-specified frequency. The feasibility of the proposed scheme is illustrated by numerical study on an ideal flexible beam example. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2001-12 |
Volume | volume36 |
Issue | issue1 |
Start Page | 29 |
End Page | 39 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 80012887118 |
JaLCDOI | 10.18926/47023 |
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FullText URL | mfe_36_2_015_042.pdf |
Author | Ohtani, Ryuji| Konishi, Masami| Imai, Jun| Nishi, Tatsushi| |
Abstract | In this paper, we studied a planning and scheduling of production system considering demand changes. In the proposed system, planning part determines lot-size and amount of jobs in production. On the other hand, scheduling part determines the production sequence of jobs. In order to treat with the demand changes, both planning and scheduling should work well simultaneously. In the proposed system, preset and real time production control system is newly constructed from the view point of adaptive control. In the system, production planning is modified when the difference between production amount and demand becomes large. Moreover, production schedule is regenerated when the determined schedule is deviated from the prospected one. The scheduling system is characterized as the autonomous decentralized optimization system where each job works as agent and agent searches its appropriate starting time of processing. The effectiveness of the proposed system is confirmed by numerical examples. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2002-03 |
Volume | volume36 |
Issue | issue2 |
Start Page | 15 |
End Page | 42 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 80015471209 |
JaLCDOI | 10.18926/46967 |
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FullText URL | mfe_37_1_001_010.pdf |
Author | Sotobayashi, Ken| Konishi, Masami| Nishi, Tatsushi| Imai, Jun| |
Abstract | Auto Guided Vehicles (AGVs) are widely used in a semi-conductor fabricating factory and contribute to the stable production of a high quality semi-conductor products. In the near future, further expansion of the transportation system is expected accompanied with the rapid growth of semi-conductor industries. In such situation, the necessity of performing quick planning of transportation route and transportation control will be elevated. In this paper, practicable planning of the transportation route and transportation control are studied based on the decentralized agent method. Especially, the geometrical sizes of AGVs are considered in the determination of transportation routes and control strategy avoiding the occurrence of mutual collisions or deadlock of AGVs. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2002-11 |
Volume | volume37 |
Issue | issue1 |
Start Page | 1 |
End Page | 10 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 120003457322 |
Author | Imai, Jun| |
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Published Date | 2002-12 |
Publication Title | Decision and Control |
Content Type | Journal Article |
FullText URL | fulltext.pdf |
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Author | Imai, Jun| |
Keywords | feasible sets Kelvin-Voigt damping dc gain |
Note | Published with permission from the copyright holder. This is the institute's copy, as published in SICE 2002. Proceedings of the 41st SICE Annual Conference, 5-7 Aug. 2002, Volume 3, Pages 1588-1591. Publisher URL:http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=1196547 Copyright © 2002 IEEE. All rights reserved.| |
Published Date | 2002-8 |
Publication Title | SICE 2002. Proceedings of the 41st SICE Annual Conference |
Volume | volume3 |
Start Page | 1588 |
End Page | 1591 |
Content Type | Journal Article |
language | English |
OAI-PMH Set | 岡山大学 |
DOI | 10.1109/sice.2002.1196547 |
JaLCDOI | 10.18926/46978 |
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FullText URL | mfe_37_2_029_044.pdf |
Author | Imajo, Shuya| Konishi, Masami| Imai, Jun| Nishi, Tatsushi| |
Abstract | In hot strip rolling mills, the looper control system is automated. However, the looper's behavior tends to be unstable in threading. Therefore, human expert always intervenes and stabilizes the looper's behavior by tuning PID gains and interposing manipulation variable of looper control system. In this paper, we propose a method based on the recurrent neural network to express PID gains tuning action by human. Furthermore, we propose two methods to update the model by learning. To check the effectiveness of the proposed learning methods, numerical simulation applied to the looper height control is carried out. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2003-03 |
Volume | volume37 |
Issue | issue2 |
Start Page | 29 |
End Page | 44 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 80016037880 |
JaLCDOI | 10.18926/46977 |
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FullText URL | mfe_37_2_013_027.pdf |
Author | Shibuta, Taizo| Konishi, Masami| Imai, Jun| Nishi, Tatsushi| |
Abstract | Nowadays, various kind of reactor furnaces are widely used for the production in industry. The raw materials charged into the furnace generate reaction heat produced by blowing gas. Generally speaking, the reaction heat generated in the furnace is remarkably high. Therefore the occurrence of an inappropriate temperature distribution in the furnace may make damege or serious accident of the furnace. This is the motivation of furnace control. The author is considering the application of studied results to the furnace control of Blast Furnace in steel industry. To the propose, the approximated and simplified Macro Model of the Blast Furnace is constructed which has the function of representation of qualitative characteristics of the furnace in dynamical sense. The furnace temperature, distribution greatly effects both on the producting and the product quality of the furnace. Needless to say, stable furnace operation is indispensable for the economical prosperity of the industry. In this paper, macro simulation of the furnace is developed to support the analysis and design of the furnace control. Using the simulator, the stability and the control characteristics for inner furnace temperature distribtion are analised quantitatively. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2003-03 |
Volume | volume37 |
Issue | issue2 |
Start Page | 13 |
End Page | 27 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 80015999991 |
Author | Imai, Jun| Ando, Yasuaki| Konishi, Masami| |
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Published Date | 2003-12 |
Publication Title | Decision and Control |
Content Type | Journal Article |
JaLCDOI | 10.18926/46948 |
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FullText URL | mfe_38_1-2_015_027.pdf |
Author | Torigoe, Takashi| Konishi, Masami| Imai, Jun| Nishi, Tatsushi| |
Abstract | In these days, mechanical systems are becoming more complex and highly automated. So, there exist wide variety of demands for reliable diagnostic technology. A reliable data analysis and quantitative diagnosis method of mechanical system is necessary for the purpose. In this paper a quantitative diagnosis method for looper height control system has been developed based on neural network technologies. The wavelet transformation is used for pre-processing to analyze characteristics of looper height control system. And, self organizing map neural network is used for the purpose of classification based on the pre-processed data. After that, the classified results are used for quantitative diagnosis in hierarchical neural network. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2004-03 |
Volume | volume38 |
Issue | issue1-2 |
Start Page | 15 |
End Page | 27 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 80016785934 |
JaLCDOI | 10.18926/46947 |
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FullText URL | mfe_38_1-2_005_014.pdf |
Author | Ishimaru, Kazuhito| Konishi, Masami| Imai, Jun| Nishi, Tatsushi| |
Abstract | Temperature distribution in the reactor furnace is mainly operated by gas blowing from multiple tuyeres and material charge distribution. The objective of our research is obtain the optimal profile of gas flow to control temperature distribution in the reactor furnace in the shortest possible time. We formulated the optimization problem to reduce deviation of temperature distribution from its desired one in the reactor furnace. Based on the formulation, gas blow conditions are optimized by a sequential quadratic programming method to realize the desired temperature distribution. The validity of the method was checked through numerical experiments. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2004-03 |
Volume | volume38 |
Issue | issue1-2 |
Start Page | 5 |
End Page | 14 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 80016785933 |
JaLCDOI | 10.18926/14146 |
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FullText URL | Mem_Fac_Eng_39_1_21.pdf |
Author | Torigoe, Takashi| Konishi, Masami| Imai, Jun| Nishi, Tatsushi| |
Abstract | In this paper, neuro based intelligent diagnosis methods for electro-mechanical control system are proposed. A self organizing map neural network (SOM) is used to classify measured data of the target system as a qualitative diagnostic method. Besides of the above procedure, it is expected to attain more efficient maintenance by a quantitative estimation of failure. For the purpose, new method is proposed using a hierarchical neural network (HNN). In the method, classified results by SOM are processed for the quantitative diagnosis. Hierarchical neural network can identify inner structure of the relations between failure causes and its results that enables a quantitative diagnosis. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2005-01 |
Volume | volume39 |
Issue | issue1 |
Start Page | 21 |
End Page | 27 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 120002308342 |
JaLCDOI | 10.18926/14148 |
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FullText URL | Mem_Fac_Eng_39_1_28.pdf |
Author | Ishimaru, Kazuhito| Konishi, Masami| Imai, Jun| Nishi, Tatsushi| |
Abstract | In reactor furnace, due to high temperature and high pressure, data can be measured only near the furnace wall. In this paper, the way to estimate temperature distribution in a reactor furnace using measured data near the furnace walls and to control temperature distribution to the desired temperature distribution was studied. In the estimation, SQP method is employed using measured data near the furnace walls. As the result, the whole temperature distribution in a furnace could be obtained from such limited data. Furthermore, to control the temperature distribution in a reactor furnace, gas flow from multiple tuyeres and supplying material for controlling temperature distribution in a reactor furnace were determined by the SQP method. It was shown that temperature distribution in a furnace was regulated to achieve various desired distribution. Thus, it was verified that complicated temperature distribution in a reactor furnace could be controlled by combining furnace simulation and SQP method. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2005-01 |
Volume | volume39 |
Issue | issue1 |
Start Page | 28 |
End Page | 39 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 120002308270 |
JaLCDOI | 10.18926/14097 |
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FullText URL | Mem_Fac_Eng_OU_40_1_9.pdf |
Author | Nukina, Takashi| Konishi, Masami| Nishi, Tatsushi| Imai, Jun| |
Abstract | Controls of the temperature, pressure and flowing quantity are important for the stable operation of the product quality in the distillation tower. The usual measuring way of product quality estimation is made by the off-line analysis. In this paper, online estimation method of product quality is studied for improving the product quality. The estimation method based on stochastic analysis was developed for online estimation. In this paper, the data of temperature, pressure and flow volum in the distillation tower are treated. As the estimation models, RNN (Recurrent Neural Net Work) and PLS (Partial Least Square Regression Method) were adopted. The actual plant data were used in the analysis. Both PLS and RNN models could compensate each other to improve the accuracy in estimation. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2006-01 |
Volume | volume40 |
Issue | issue1 |
Start Page | 9 |
End Page | 15 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 120002308095 |
JaLCDOI | 10.18926/14099 |
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FullText URL | Mem_Fac_Eng_OU_40_1_23.pdf |
Author | Kikuchi, Junji| Konishi, Masami| Nishi, Tatsushi| Imai, Jun| |
Abstract | In steel works, iron ores are stored in ore yard and sent to various plants of down stream accoding to transfer requests. To attain stable operation, it is neccesary to keep a certain allowable stock level in ore tanks of all plants. To this purpose, ore transfer routing method has been developed based on decentralized agent method. In case of disaster such as a big earthquake or a big fire, damages in the facilities of industrial complex may be unavoidable. In this paper, decentralized optimization method is tested to cope with such emergencies. Decentralized agents corresponding to kind of ore make their own transfer route plan exchanging information with others. As the application of the proposed method, transfer scheduling in ore yard in steel works are made in case of destruction of transfer facilities. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2006-01 |
Volume | volume40 |
Issue | issue1 |
Start Page | 23 |
End Page | 30 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 120002308160 |
JaLCDOI | 10.18926/14098 |
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FullText URL | Mem_Fac_Eng_OU_40_1_16.pdf |
Author | Abe, Yoshihiro| Konishi, Masami| Nishi, Tatsushi| Imai, Jun| |
Abstract | In this study, auto tuning of PID control gains in hot strip looper controller is made based on RNN model. Neuro emulator is employed to model the characteristics of looper dynamics. Combining neuro emulator and RNN model, auto tuning system of PID control gains is constructed. As the inputs to RNN, plural evaluation functions which reflect individual preference of human experts. Further, Self learning mechamism is embeded to RNN model which enables adaptation to the change in rolling chracteristics. Through numerical experiments, the effect of the proposed method is ascertained. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2006-01 |
Volume | volume40 |
Issue | issue1 |
Start Page | 16 |
End Page | 22 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 120002308615 |
JaLCDOI | 10.18926/14082 |
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FullText URL | Mem_Fac_Eng_OU_41_1_31.pdf |
Author | Hamana, Ryohei| Konishi, Masami| Imai, Jun| |
Abstract | Various kind of productions are made in semiconductor factories, where it employs the production system with multiprocess and multiple Automated Guided Vehicles(AGVs) for transportation. It is difficult to optimize planning of production and transportation simultaneously because of the complicated flow of semifinished products. This paper describes the formulations of production scheduling and transportation routing, and algorithm for simultaneous optimization of plannings by using logic cuts. The entire problem is decomposed to the master problem and the sub problem. If it derives the infeasible solutions, new constraints are added to the master problem to eliminate the solution area including infeasible solutions. The results of about optimality and computation time by using CPLEX solver are shown compared with conventional decomposition method to check up effectivity of proposed method in small size problem, and about optimality and computaion time for large scale problem. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2007-01 |
Volume | volume41 |
Issue | issue1 |
Start Page | 31 |
End Page | 43 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 120002308108 |
JaLCDOI | 10.18926/14081 |
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FullText URL | Mem_Fac_Eng_OU_41_1_20.pdf |
Author | Imamura, Takuji| Konishi, Masami| Imai, Jun| |
Abstract | In this paper, we propose a simultaneous optimization method for inventory control and production planning problem for a chemical batch plant. The plant consists of blending process, intermediate storage tanks and filling process. In the proposed method, the original problem is decomposed into production planning sub-problem and inventory control sub-problem. Then the decision variables are optimized by alternately solving each sub-problem. The solution of the proposed method is compared with that of centralized optimization method. The effectiveness of the proposed method is investigated from numerical computational results. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2007-01 |
Volume | volume41 |
Issue | issue1 |
Start Page | 20 |
End Page | 30 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 120002308626 |
JaLCDOI | 10.18926/14083 |
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FullText URL | Mem_Fac_Eng_OU_41_1_44.pdf |
Author | Maeno, Ryota| Konishi, Masami| Imai, Jun| |
Abstract | Petri net model is a frequently-used versatile tool which can represent a widely discrete event system. However, when the scale of the system becomes large, the calculation time for solving optimal problem (optimal firing sequence problem) is markedly increased. In this paper, we propose an approximation method that achieves the efficiency improvement of the solution by decomposing the Petri net for solving the optimal firing sequence problem. A timed Petri Net is decomposed into several subnets in which the optimal firing sequence for each subnet is solved by Dijkstra’s algorithm in polynomial computational complexity. The effectivity of the proposed method is verified by numerical experiments for the flowshop schedule problem. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 2007-01 |
Volume | volume41 |
Issue | issue1 |
Start Page | 44 |
End Page | 51 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 120002308128 |