摘要
为了优化模态测试悬挂系统中气悬浮无摩擦气缸的结构参数,建立了活塞和缸壁间隙内的气体压力分布、气体泄漏流量和活塞径向承载能力的数学模型,提出一种基于非支配排序遗传算法(NSGA-II)的气缸-活塞优化设计方法。以气缸结构参数作为优化变量,以降低泄漏流量和提高径向承载能力为设计目标,等价转化目标函数,并将气体流动的复杂非线性方程组转化为约束条件进行处理。该方法能够获得目标空间内分布均匀的Pareto最优参数集,全面掌握活塞结构参数的最优取值。试验结果表明,优化后的气缸能有效地降低摩擦力,减小气体泄漏流量,从而验证了该方法在工程应用中的有效性。
The mathematical models of gas pressure distribution in the clearance, gas leakage and radial load capacity were established using a compressible fluid model, and an optimization design method using nondominated sorting genetic algorithm--II（NSGA--II） was put forward to optimize the structural parameters of air--suspending frictionless cylinders which were used in the suspension system for modal test. Structural parameters were set as optimization variables;gas leakage and radial load capacity were optimization objections; and complicated nonlinear equations of gas flow were transferred to constraints. The method using NSGA--II can achieve a uniform Pareto optimal set in objective space,and decision maker can master and select the optimal values of the piston＇s structural parameters. The results show that the optimized cylinder can reduce friction and gas leakage effectively which verifies the validity of the proposed method.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2008年第14期1681-1686,共6页
China Mechanical Engineering
关键词
气悬浮
无摩擦气缸
NAGA—II
多目标优化
气体泄漏量
air- suspending
frictionless cylinder
nondominated sorting genetic algorithm II （NSGA-- II）
multi-- objective optimization
gas leakage
