Optimization of actuator/sensor position of multi-body system with quick startup and brake  

作　　者：唐华平 唐春喜 殷陈锋 

机构地区：[1]School of Mechanical and Electrical Engineering, Central South University

出　　处：《Journal of Central South University of Technology》2007年第6期803-807,共5页中南工业大学学报（英文版）

基　　金：Project(50390063) supported by the National Natural Science Foundation of 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.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 3 5% compared with that without optimization.

关 键 词：actuator/sensor multi-body system active control OPTIMIZATION genetic algorithm 

分 类 号：TB114.1[理学—运筹学与控制论]