轴对称推力矢量喷管驱动机构的多目标优化设计研究  

Multi-objective Optimization for the Driving Mechanism of an Axial-symmetric Vectoring Exhaust Nozzle

作　　者：王贝[1] 袁茹[1] 王三民[1] 黄鹏辉[1] 

机构地区：[1]西北工业大学机电学院,西安710072

出　　处：《机械科学与技术》2009年第9期1180-1184,共5页Mechanical Science and Technology for Aerospace Engineering

基　　金：国家自然科学基金项目(50875210)资助

摘　　要：实时高效的实现矢量喷管偏转方位和喷口面积是喷管驱动机构的设计准则。针对以Gough-Stewart并联机构为基础的某典型轴对称矢量喷管(AVEN)驱动机构,建立AVEN驱动机构的空间运动学方程,采用同伦法进行驱动机构的运动正解和反解分析,获得机构参数与推力矢量方位和A9面积的关系。以A9转向控制环转角和出口截面形状为优化目标函数,建立AVEN驱动机构主要几何参数的多目标优化数学模型,将变权系数法与改进的遗传算法结合,对AVEN驱动机构进行了多目标优化设计,获得了最佳的机构参数,通过优化前后的参数对比分析证实了优化设计结果的合理性。How to achieve the vector angle and exit area of a nozzle effectively and immediately is the design standard for the driving mechanism of nozzle. For one typical axial-symmetric vectoring exhaust nozzle（AVEN） driving mechanism based on the Gough-Stewart parallel mechanism, the space kinematic equations of it are built and in order to acquire the relation among the geometrical parameters of the driving mechanism and the exit area and vectored thrust, the homotopy method is used to analyze the forward kinematics and inverse kinematics. A multi-objective optimization mathematical model for the major geometrical parameter of the driving mechanism which is calculated by the weighting factor method and genetic algorithm is proposed using the driving speed and the exit shape as the optimization objective function. The rationality of the optimization result is demonstrated through contrast and analysis.

关 键 词：推力矢量喷管 STEWART机构 遗传算法 权系数 

分 类 号：TH113[机械工程—机械设计及理论]