基于改进PSO算法的嵌套环式微陀螺结构优化设计

Structural Optimization Design of Disk Resonator Gyroscope Based on an Improved PSO Algorithm

改变嵌套环陀螺的结构设计会引起陀螺性能发生很大的改变,但由于其结构复杂,参数众多,导致陀螺在仿真过程中计算量过大,难以探索陀螺多参数变量对陀螺性能的影响规律,针对这一问题提出了一种基于改进PSO算法的嵌套环陀螺结构优化设计方法。该方法在传统PSO算法寻优的基础上,引入极值扰动来避免算法陷入局部极值,并针对嵌套环陀螺进行了一定的条件约束,解决了多参数在总和固定情况下的优化问题。改进后的优化算法以机械热噪声为目标函数,在波音设计的陀螺模型基础上对其间隙分布进行了优化实验,并与未优化前进行了性能对比,结果表明,改进后的优化算法使嵌套环陀螺性能显著提高,结构优化设计更加高效简洁,适用于嵌套环陀螺进行各种多参数的优化问题。

Changing the structural design of the disk resonator gyroscope（DRG）will cause great changes in the performance of the gyro. However,due to its complicated structure and numerous parameters,the calculation of the gyro in the simulation process is too large,and it is difficult to explore the influence of the gyro multi-parameter variable on the performance of the gyro. Aiming at this problem,an improved Particle Swarm Optimization（PSO）algorithm is proposed. Based on the traditional PSO algorithm,this method avoid falling into local extreme by introducing extreme value turbulence,and the optimization problem of multiple variables in a certain range is solved by the method of conditional constraints for DRG. Taking the mechanical noise as the objective function,the spoke length distribution is optimized based on the model of DRG designed by Boeing. Compared with that before the optimization,experimental results show that the gyroscope performance is obviously improved and structure design of DRG becomes more efficient and concise. It will be applied to optimization of various parameters of the DRG.