基于MOSA算法的压电堆执行器多目标优化仿真研究

Simulation Research of the Multilayer Piezoelectric Stack Actuator Based on the MOSA Algorithm

建立了高压共轨压电堆执行器有限元模型,并通过Matlab与Python语言的混合编程实现压电堆执行器多目标优化仿真,采用多目标模拟退火算法MOSA(Multi Objective Simulated Annealing),以压电堆执行器内部拉应力和延迟时间为目标函数建立多目标优化模型,进行多目标优化设计。结果表明:压电堆执行器内部拉应力降低20.1%,达到10.7MPa;延迟时间降低20.4%,达到39.4μs。

The FEM model of piezoelectric actuator of common rail fuel injector was built.By using Matlab and Python language to perform the mixed-language programming,the FEM model could be built and calculated,also the MOO（multi objective optimization）.This paper uses MOSA（Multi Objective Simulated Annealing）method to optimize the parameters of the actuator.The aim function is the delay of the opening of the actuator and the tension stress in the actuator.The results show that the tension stress is 10.7 mPa that reduces by 20.1%;while the delay of the opening is 39.4 μs,which is reduced by 20.4%.