基于遗传算法的多振动台随机振动控制方法

Method Based on Genetic Algorithm for Multi-Shaker Random Vibration Control

针对多振动台随机振动控制问题中求解补偿矩阵的广义逆算法 ,提出利用遗传算法对补偿矩阵的初值进行优化 ,解决了该类非线性、大范围极值求解问题。双振动台随机振动控制的仿真实验研究表明 :将基于遗传算法的广义逆求解补偿矩阵方法引入随机振动控制过程 ,在同等精度条件下 ,计算时间大为缩短并改善了控制中共振峰处的奇异性 。

Aiming at the problem of the solution to the generalized inverse algorithm for the compensation matrix in multi shaker random vibration control, the authors proposed a method for optimizing the initial values of the compensation matrix via the Genetic Algorithm (GA), which resolved the problem with the nonlinearity and extremum searching within a wide extent. The results show that, through a simulation experiment for the dual shaker random vibration control system, the computation time has been decreased under the same precision by introducing the generalized inverse methods to the random vibration control process to solve the compensation matrix with GA, and the singular property near the resonance peaks has been improved. It makes the on line applications of the generalized inverse algorithm to the multi shaker random vibration control be possible.