基于果蝇优化算法的轮廓误差控制研究

Research on Contour Error Control Based on Fruit Fly Optimization Algorithm

针对传统果蝇优化算法精度低、收敛慢、易陷入局部最优的问题,通过增加随机机制扩大其探测能力,并通过改变步长,提高其后期寻优精度。将改进后的算法应用于PID控制器的参数优化,并将复杂的时变信号作为优化模型的输入。对获得的PID参数的控制效果进行验证,结果表明:改进后的果蝇算法寻优速度快、精度高,其优化后的PID参数,轮廓运动控制精度高、鲁棒性好。

Aiming at the problems of low accuracy, slow convergence and easy to fall into local optimum for the traditional fruit fly optimization algorithm, its detection ability was expanded by adding a random mechanism, and the precision of its later optimization was improved by changing the flight step size. The improved algorithm was applied to the parameter optimization of PID controller, and the complex time-varying signal was used as the input of the optimization model. The control effect of the PID parameters was verified. The results show that the improved drosophila algorithm has high speed and high precision, and the contour motion model has high control precision and good robustness by using the optimized PID parameters.