| Project/Area Number |
12555061
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
Dynamics/Control
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| Research Institution | Tohoku University |
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Principal Investigator |
TANI Junji Institute of Fluid Science, Tohoku University, Professor, 流体科学研究所, 教授 (30006192)
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| Co-Investigator(Kenkyū-buntansha) |
MURAI Masanori Institute of Fluid Science, Tohoku University, Associate Professor, 流体科学研究所, 助手 (90292284)
QIU Jinhao Institute of Fluid Science, Tohoku University, Associate Professor, 流体科学研究所, 助教授 (60241585)
TAKAGI Toshiyuki Institute of Fluid Science, Tohoku University, Professor, 流体科学研究所, 教授 (20197065)
URUSHIYAMA Yuta Honda Research Institute, Chief Engineer, 栃木研究所, 主幹研究員(研究職)
HAYASHI Tadayoshi Honda Research Institute, Chief Engineer, 栃木研究所, 主幹研究員(研究職)
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| Project Period (FY) |
2000 – 2002
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| Project Status |
Completed (Fiscal Year 2002)
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| Budget Amount *help |
¥12,500,000 (Direct Cost: ¥12,500,000)
Fiscal Year 2002: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2001: ¥2,900,000 (Direct Cost: ¥2,900,000)
Fiscal Year 2000: ¥8,700,000 (Direct Cost: ¥8,700,000)
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| Keywords | Piezoelectric Actuator / Simultaneous Design / Piezoelectric Fiber / Wheel / Robot Arm / Smart Board |
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| Research Abstract |
In order to seamlessly integrate actuators, sensors and controls with material and structural components, a simultaneous optimal design of structural and control subsystems is necessary. This is because the parameters obtained by traditional methods may not be optimal for the whole system. In traditional design methods, the structural parameters are optimized first and then an optimal controller is designed. In simultaneous optimal design, the interaction of the structure and controller is considered and the parameters of structural and control subsystems are optimized simultaneously.
We proposed a new method of simultaneous optimization using unified H_2 /H_- objective functions, which possesses generality for problems involving the improvement of the dynamic characteristics of control led structures. This method was applied to the example of the design of a spring-supported beam, with the goal of suppressing of forced vibrations. The simultaneous optimization problem was solved by a sequence of minimization of the objective function over the structural parameters (holding the controller fixed) and over the controller gains (holding the structural parameters fixed). The sequential quadratic programming method and the linear matrix inequality method were used in the optimization of the structural and control subsystems, respectively.
Furthermore, this method was applied to the design of a steering wheel and a door panel of car. Smart boards were proposed as a structural component integrated with actuators and sensors.
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