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Optimization of actuator/sensor position of multi-body system with quick startup and brake
作者姓名:唐华平  唐春喜  殷陈锋
作者单位:School of Mechanical and Electrical Engineering Central South University,School of Mechanical and Electrical Engineering Central South University,School of Mechanical and Electrical Engineering Central South University,Changsha 410083 China,Changsha 410083 China,Changsha 410083 China
摘    要:A new method was put forward to optimize the position of actuator/sensor of multi-body system with quick startup and brake. Dynamical equation was established for the system with intelligent structure of piezoelectric actuators. According to the property of the modes varying with time, the performance index function was developed based on the optimal configuration principle of energy maximal dissipation, and the relevant optimal model was obtained. According to its characteristic, a float-encoding genetic algorithm, which is efficient, simple and excellent for solving the global-optimal solution of this problem, was adopted. Taking the plane manipulator as an example, the result of numerical calculation shows that, after the actuator/sensor position being optimized, the vibration amplitude of the multi-body system is reduced by 35% compared with that without optimization.

关 键 词:传感器  多本体系统  活跃控制  优化  遗传算法
收稿时间:8 March 2007
修稿时间:2007-03-08

Optimization of actuator/sensor position of multi-body system with quick startup and brake
Tang Hua-ping , Tang Chun-xi and Yin Chen-feng.Optimization of actuator/sensor position of multi-body system with quick startup and brake[J].Journal of Central South University of Technology,2007,14(6):803-807.
Authors:Tang Hua-ping  Tang Chun-xi and Yin Chen-feng
Affiliation:School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China
Abstract:A new method was put forward to optimize the position of actuator/sensor of multi-body system with quick startup and brake. Dynamical equation was established for the system with intelligent structure of piezoelectric actuators. According to the property of the modes varying with time, the performance index function was developed based on the optimal configuration principle of energy maximal dissipation, and the relevant optimal model was obtained. According to its characteristic, a float-encoding genetic algorithm, which is efficient, simple and excellent for solving the global-optimal solution of this problem, was adopted. Taking the plane manipulator as an example, the result of numerical calculation shows that, after the actuator/sensor position being optimized, the vibration amplitude of the multi-body system is reduced by 35% compared with that without optimization.
Keywords:actuator/sensor  multi-body system  active control  optimization  genetic algorithm
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