摘要
对升降台液压缸铰点位置进行了分析。为了改善升降台升降不平稳、活塞推力较大的现象,提出了升降台活塞推力和升降速度的多目标优化问题。对剪叉式液压升降台的运动学和动力学进行研究,建立了以液压活塞推力及起升速度为目标的数学模型,并选取几组不同的液压缸铰点位置。仿真分析了升降台在升降过程中活塞推力、升降速度的变化规律,确定升降台在最低点以活塞推力与起升速度为目标。采用粒子群算法对液压缸位置进行优化,运用MATLAB进行编程和仿真,算法效率高,能够快速准确地获得最优位置参数,实现升降台系统整体结构优化。
The lift platform cylinder hinge point location is analyzed. In order to improve the not so smooth lifting by the lift platform and to enlarge the piston thrust,the multi-objective optimization of the lift platform' s piston thrust and lifting speed are carried out. Based on the kinematics and dynamics of the double-scissor hydraulic elevator,the mathematical models which set hydraulic piston thrust and hoisting speed as objectives are built. A few sets of different hydraulic cylinder hinge points are chosen to simulate and analyze the variation of piston thrust and lifting speed during lifting. Then the piston thrust and lifting speed as the objective are determined when the lift platform is at its lowest point. The particle swarm optimization algorithm was performed to optimize the hydraulic cylinder hinge point location,and MATLAB is used for programming and simulation. The algorithm is effective and can quickly and accurately obtain the optimal location parameters to achieve the whole elevator optimization.
出处
《机械科学与技术》
CSCD
北大核心
2015年第8期1229-1234,共6页
Mechanical Science and Technology for Aerospace Engineering
基金
江苏省科技支撑计划项目(BE2012080)
江苏省产学研前瞻性联合研究项目(BY2012179)资助
关键词
运动学
动力学
升降平台
多目标优化
粒子群算法
algorithms
angular velocity
computer simulation
constrained optimization
dynamics
efficiency
flowcharting
kinematics
lift platform
mathematical models
MATLAB
multiobjective optimization
optimization
particle swarm optimization(PSO)
