FullText URL IFAC_49_8_7.pdf
Author Imai, Jun| Noso, Katsuyuki| Takahashi, Akiko| Funabiki, Shigeyuki|
Keywords Distributed parameter systems Method of weighted residuals Boundary conditions Reduced-order models
Note This is an Accepted Manuscript of an article published by Elsevier|
Published Date 2016-08-09
Publication Title IFAC-Papers OnLine
Volume volume49
Issue issue8
Publisher Elsevier
Start Page 7
End Page 12
ISSN 2405-8963
Content Type Journal Article
language 日本語
OAI-PMH Set 岡山大学
Copyright Holders https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja
File Version author
DOI 10.1016/j.ifacol.2016.07.410
Web of Science KeyUT 000381505200003
Related Url https://doi.org/10.1016/j.ifacol.2016.07.410
JaLCDOI 10.18926/47023
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 英語
File Version publisher
NAID 80015471209
JaLCDOI 10.18926/46967
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 英語
File Version publisher
NAID 120003457322
Author Imai, Jun| Ando, Yasuaki| Konishi, Masami|
Published Date 2003-12
Publication Title Decision and Control
Content Type Journal Article
JaLCDOI 10.18926/14146
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 英語
File Version publisher
NAID 120002308342
JaLCDOI 10.18926/14148
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 英語
File Version publisher
NAID 120002308270
JaLCDOI 10.18926/46947
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 英語
File Version publisher
NAID 80016785933
JaLCDOI 10.18926/14065
FullText URL Mem_Fac_Eng_OU_42_91.pdf
Author Ryohei, Hamana| Konishi, Masami| Imai, Jun|
Abstract Various kind of productions are made in semiconductor fabrications, where it employs the production system with multiprocesses 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, transportation routing and sequence planning of material handling system, and algorithm for simultaneous optimization of plannings by using solution space reduction and simulated annealing method. In this paper, all production system is decomposed to the production scheduling problem, transportation routing problem by AGVs and sequence planning of material handling system with managing stockers and buffers. Production scheduling problem and transportation routing problem are solved by the optimization algorithm using the decomposition routing problem. Sequence planning of material handling robot problem is solved by the algorithm using simulated annealing method.
Publication Title Memoirs of the Faculty of Engineering, Okayama University
Published Date 2008-01
Volume volume42
Issue issue1
Start Page 91
End Page 103
ISSN 0475-0071
language 日本語
File Version publisher
NAID 120002308279
JaLCDOI 10.18926/14083
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 英語
File Version publisher
NAID 120002308128
JaLCDOI 10.18926/15269
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 英語
File Version publisher
NAID 120002307181
JaLCDOI 10.18926/46948
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 英語
File Version publisher
NAID 80016785934
JaLCDOI 10.18926/46978
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 英語
File Version publisher
NAID 80016037880
JaLCDOI 10.18926/17844
FullText URL Mem_Fac_Eng_OU_43_75.pdf
Author Ohe, Keita| Konishi, Masami| Imai, Jun|
Abstract As is well known, an advanced knowledge and know-how are needed in the design and the diagnosis work. Further, human experts can cope with the recent trend of customers needs. Therefore, the design and the diagnosis work have been privately performed in the past, and its information cannot be shared. In addition, the number of experts is decreasing. It is a very important problem to maintain and to extend experts technologies having been built up. For the purpose, methods and systems for technical inheritance of the advanced techniques of the skilled engineers are needed to train the unskilled operators and also can assist skilled operators. In this research, attention is focused on the design of analog filter circuit. To attain the target, the circuit structural classifier system to support design work is developed. Furthermore, simulation technology for hot strip rolling mills based on distributed agents is presented aimed to develop tools for the diagnosis of hot strip rolling mills operation.
Publication Title Memoirs of the Faculty of Engineering, Okayama University
Published Date 2009-01
Volume volume43
Start Page 75
End Page 92
ISSN 1349-6115
language 英語
File Version publisher
NAID 120002308900
JaLCDOI 10.18926/14081
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 英語
File Version publisher
NAID 120002308626
Author Imai, Jun|
Published Date 2002-12
Publication Title Decision and Control
Content Type Journal Article
JaLCDOI 10.18926/46998
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 英語
File Version publisher
NAID 80012887118
Author Imai, Jun|
Published Date 2002-8
Publication Title SICE 2002. Proceedings of the 41st SICE Annual Conference
Volume volume3
Content Type Journal Article
FullText URL fulltext.pdf
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 英語
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 10.18926/44495
FullText URL mfe_045_001_014.pdf
Author Akiyoshi, Tatsuro| Imai, Jun| Konishi, Masami|
Abstract This paper presents a method of the controller design for the handling machine by using dsPIC(Digital Signal Processor + Peripheral Interface Controller). Recently, many manufacturing robots are operated in manufacturing facilities, with the aim of labor, cost saving, and improvement of the productivity. Such robots need to have positioning performance of high precision and simultaneously to save cost. In this paper, a digital optimal servo controller is designed, and it is implemented into our barebones controller which involves dsPIC. We have designed and manufactured the controller which is added suitable peripherals to improve the consistency between the mechanical machine operating in continuous time and controller in discrete time. The significance of this research is that digital implementation of the embedded system which has performance-limitation has ensured a comparable result, against the one with PC which has broad utility. When it is used as a controller, it is possible to restrain product prices greatly equivalent PC precision. We demonstrate potential that good control can be achieved even with low cost. Our research has lead to the viability of lower cost and higher performance system for the production process at factories.
Publication Title Memoirs of the Faculty of Engineering, Okayama University
Published Date 2011-01
Volume volume45
Start Page 1
End Page 14
ISSN 1349-6115
language 英語
Copyright Holders Copyright © by the authors
File Version publisher
NAID 120002905951
JaLCDOI 10.18926/14063
FullText URL Mem_Fac_Eng_OU_42_71.pdf
Author Kawase, Koichi| Konishi, Masami| Imai, Jun|
Abstract In this research, Fuzzy control theory is applied to the inventory control of the supply chain between multiple companies. The proposed control method deals with the amount of inventories expressing supply chain between multiple companies. Referring past demand and tardiness, inventory amounts of raw materials are determined by Fuzzy inference. The method that an appropriate inventory control becomes possible optimizing fuzzy control gain by using SA method for Fuzzy control. The variation of uncertain demand is given to the proposal method. Furthermore, the method of forecasting demand and the effectiveness of fuzzy control method are confirmed by numerical experiments. As the results, the proposal method suppressed increase in an unnecessary cost when demand varies.
Publication Title Memoirs of the Faculty of Engineering, Okayama University
Published Date 2008-01
Volume volume42
Issue issue1
Start Page 71
End Page 78
ISSN 0475-0071
language 英語
File Version publisher
NAID 120002308296