基于自适应遗传算法弹簧刚度优化的可调频多维减振平台设计

Design of an adjustable-frequency multi-dimensional vibration isolation platform based on spring stiffness optimization with adaptive genetic algorithm

依据特定工况下的振动激励频率设计得到的多维减振平台,不能满足多场所、多工况下减振的要求。通过改变弹簧刚度值调节减振平台的固有频率可实现其不同工况下多维减振的目标。给出了基于空间对称3-PRC并联机构设计的多维减振平台模型;采用闭环矢量方法建立其运动学、动力学理论模型;采用自适应遗传算法对满足特定要求固有频率的弹簧刚度值进行优化,得到了满足误差要求的弹簧刚度值,实现了多维减振平台的调频目标。为设计工作于变激励工况下的多维减振平台提供了一种新的思路。

A multi-dimensional vibration isolation platform designed based on the specific vibration excitation frequency can , t meet the requirement of vibration isolation for multi-working place or multi-operational condition. Changing its spring stiffness to adjust the natural frequency of the vibration isolation platform can realize the goal of multi-dimensional vibration isolation under different operational conditions. Here, a multidimensional vibration isolation platform model based on a spatial symmetric 3-PRC parallel mechanism was built. Its kinematic and dynamic theoretical models were established with the closed-loop vector method. The adaptive genetic algorithm （ AGA） was adopted to optimize the spring stiffness value satisfying the requirement of the specific natural frequency, and obtain the spring stiffness value to satisfy the error requirement and realize the goal of adjusting the natural frequency of the platform. The results provided a new idea for designing a multi-dimensional vibration isolation platform under the varying excitation working condition.