The Optimization Design Research on the Seismic Control of Large-Span Spatial Structure

2011 ◽  
Vol 233-235 ◽  
pp. 2773-2777
Author(s):  
Xiang Zhao ◽  
She Liang Wang ◽  
Jian Bo Dai ◽  
Xi Cheng Zhao ◽  
Xi Yu Zhu
Keyword(s):  
Numerical Simulation ◽  
Spatial Structure ◽  
Optimization Design ◽  
Design Research ◽  
Active Vibration Control ◽  
Large Span ◽  
Seismic Control ◽  
Giant Magnetostrictive Material ◽  
Active Vibration ◽  
Main Component

Focuses on the dynamical collapse of large-span spatial structure, this paper uses giant magnetostrictive material as the main component to design a kind of new GMM actuator, which could used in active vibration control of large-span spatial structure. The genetic algorithm has been used to optimize the position of actuators in large-span spatial structure, and the optimization of the results has been analyzed by numerical simulation. The research shows that the GMM actuator has fine actuator effectiv.

Fuzzy Control on Large-Span Spatial Structure Dynamical Response

2011 ◽  
Vol 368-373 ◽  
pp. 1023-1029
Author(s):  
Xiang Zhao ◽  
She Liang Wang ◽  
Xi Cheng Zhao ◽  
Jian Bo Dai
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Spatial Structure ◽  
Optimization Design ◽  
Fuzzy Logic Controller ◽  
Simulation Analysis ◽  
Active Vibration Control ◽  
Dynamical Response ◽  
Large Span ◽  
Long Span

Focused on the dynamical collapse of large-span spatial structure, this paper uses giant magnetostrictive material to design a kind of new GMM actuator, which could be used in active vibration control of large-span spatial structure. The genetic algorithm has been used to optimize the position of actuators in large-span spatial structure and the structure of fuzzy control system is introduced. A standard fuzzy logic controller is designed. Fuzzy control routine established by the matlab software is used to carry on the active control simulation analysis on the long-span spatial structures. The research shows that the GMM actuator has fine actuating effectiveness, and can improve the computational efficiency of optimization design at the same time. The genetic algorithm also achieves the overall optimization of the structure and the effect to the fuzzy control is obvious.

Analytical and Experimental Investigation on Vibration Control of Piezoelectric Structures

1991 ◽  
Author(s):  
M. J. Tzeng ◽  
W. Z. Wu
Keyword(s):  
Numerical Simulation ◽  
Experimental Investigation ◽  
Vibration Control ◽  
Satisfactory Agreement ◽  
Vibration Suppression ◽  
Experimental Testing ◽  
Active Vibration Control ◽  
Piezoelectric Actuators ◽  
Active Vibration ◽  
Piezoelectric Structures

Abstract Active vibration control of smart structural materials (beam and plate) has been achieved by using distributed piezoelectric actuators. Numerical simulation and experimental testing have been conducted to investigate vibration suppression of the advanced structures. Results from simulation and testing are in satisfactory agreement.

De Algorithm Optimization Design Research and Numerical Simulation of a New Optical Fiber F-P Sensing System

2013 ◽  
Vol 710 ◽  
pp. 484-487
Author(s):  
Ning Shan ◽  
Tuan Jie Liu
Keyword(s):  
Numerical Simulation ◽  
Mathematical Model ◽  
Optical Fiber ◽  
Optimization Design ◽  
Design Research ◽  
Algorithm Optimization ◽  
Signal Attenuation ◽  
Practical Applications ◽  
Sensing System ◽  
De Algorithm

Optical fiber F-P sensor has several advantages, such as strong anti-interference ability, quick speed and high precision. It is widely applied in detecting fields. But optical fiber F-P sensor deviates from working point easily in practical applications, it leads to output signal attenuation and the decreasing of signal noise ratio. The double wavelength optical fiber F-P sensing system is designed to solve the problem. DE algorithm mathematical model of sensing system is established, meanwhile, a higher orthogonal precision sensing system is optimization designed. The orthogonal error of sensing system is studied. The results show that DE algorithm is correct and reliable. Its run time is shorter and the error is less than 10-3. The optimization objective decreases sharply. When the length of F-P cavity changes 0~2500nm, the orthogonal error of sensing system is less than 5%. It has higher stability and anti-interference ability. These results show that the DE algorithm can be used for the structural optimization design of optical fiber F-P sensor.

Magnetic Circuit Optimization Design and Simulation Analysis of Electromagnetic Inertial Actuator

2014 ◽  
Vol 940 ◽  
pp. 356-361
Author(s):  
Hai Long Cao ◽  
Zheng Tao Yan ◽  
Jing Jun Lou
Keyword(s):  
Optimization Design ◽  
Magnetic Circuit ◽  
Simulation Analysis ◽  
Active Vibration Control ◽  
Optimal Solution ◽  
Structure Design ◽  
Circuit Optimization ◽  
New Type ◽  
Active Vibration ◽  
Working Principle

This paper introduces basic working principle of electromagnetic inertial actuators and establishes the mechanical model of actuator. With the method of three-level series permanent magnet, the actuator structure design was completed. According to the structure of the actuator, the magnetic circuit model of actuator was determined, and the design of magnetic circuit was completed. Through the comparison and analysis, the type of both ends of the cage was determined. The simulation analysis of actuators’ magnetic field was studied by using ANSYS, and then the parameters were optimized. The parameters of the optimal solution are concluded, and a way to the actuator parameters is found. This provides a theoretical basis for the production, development of the actuator, and provides a train of thought for the design of the new type of actuators in active vibration control.

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