恒力铣削智能控制算法研究与仿真(英文)  

The Research and Simulation of Intelligent Control Strategies for Constant Force Milling

作　　者：胡泊[1] 韩德东[1] 李茂月[1] 富宏亚[1] 

机构地区：[1]哈尔滨工业大学机电工程学院,哈尔滨150001

出　　处：《机床与液压》2012年第12期17-21,96,共6页Machine Tool & Hydraulics

摘　　要：针对数控加工,建立了 2 种以切削力恒定为控制目标的在线智能控制系统。首先,利用 BP 神经网络对铣削过程进行了建模; 然后,基于 BP 神经网络和模糊控制理论,提出了 2 种以切削力恒定为控制目标的在线铣削控制算法; 最后,在变轴向切削深度条件下开展了仿真实验。相对于传统恒速切削,基于 BP 神经网络和模糊控制的在线智能控制系统分别节省了 13.9% 和 13.7% 的切削时间。This paper investigates the application of intelligent control strategies in milling process to get constant cutting force. Since the cutting process is under a good condition, the surface quality is improved and the higher accuracy is obtained. The milling process was modeled by a developed BP neural network. Intelligent control strategies based on neural network and fuzzy logic were proposed to guarantee the constant cutting force and improve the cutting efficiency. Simulations were conducted to verify the effectiveness of the proposed strategies and the results showed that the time saving of two strategies are 13.9% and 13.7%, respectively.

关 键 词：恒力铣削 智能控制算法 神经网络 模糊逻辑 

分 类 号：TH116[机械工程—机械设计及理论]