Co-Investigator(Kenkyū-buntansha) |
吉田 和夫 慶應義塾大学, 理工学部, 教授 (80101997)
TANI Junji TOHOKU UNIVERSITY,PROFESSOR, 流体科学研究所, 教授 (30006192)
NAGAMATSU Akio TOKYO INSTITUTE OF TECHNOLOGY,PROFESSOR, 工学部, 教授 (70016640)
岩井 善太 熊本大学, 工学部, 教授 (40026109)
KIMURA Hidenori UNIVERSITY OF TOKYO,PROFESSOR, 工学部, 教授 (10029514)
OHKAMI Yoshiaki TOKYO INSTITUTE OF TECHNOLOGY,PROFESSOR (50240750)
NONAMI Kenzo CHIBA UNIVERSITY,MECHANICAL ENGR., PROFESSOR (30143259)
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Research Abstract |
In order to maintain and enhance the capability, performance, and dwelling properties of a wide scope of engineering fields, the optimal design approach for realizing intelligent structures have recently become a key technology. For example, with industrial robots, lighter weight, energy saving, higher speed and higher accuracy are in increasing demand. One obstacle to achieving such properties is flexible arms, creating the need to obtain a practical method for controlling vibration. Although lighter weight bodies are needed to increase of energy saving in automobiles, it is also necessary to control the vibration of elastic automobile bodies with the lighter weight. Increasingly lighter and taller building have been constructed to meet demand for lower cost. Such buildings involve the problem of swaying caused by strong winds. For constructing the dynamic optimal design for intelligent structures, it is necessary to have the joint researches between both fields of the control engineer
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ing and structural dynamics and design engineering. During three years, the expert researches in these fields have done the joint research works and exchanged the most advanced ideas and information frequently regarding both fields. The activation of this research project has been shown through the published papers with up-to-date information over 160. The main results obtained by this project can be itemizes as follows : (1) Development of a method for dynamical optimizing structures. (2) Development of a modeling method for connecting the structural and control systems. (3) Provision of an optimal arrangement for sensors and actuators taking into consideration of the controllability based on vibration mode information. (4) Development of newly developed robust control theory for structural design. (5) Provision of an intelligent control method using newly developed cubic neural network. (6) Propose of the simultaneous optimization for structural and control subsystem. These results was applied usefully for realizing the intelligent structures in many fields of engineering such as mechanical, civil, artificial, space engineering, in addition to high performance mechanical devices like magnetic bearings. Less
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