基于多感知信息的数控铣削过程智能控制

Multi-sense Based Intelligent Control on End Milling Process

首次提出基于多感知信息的数控铣削过程智能控制方法．首先，使用分频采样技术，从测力仪分别采集代表铣削力和振动的信息．其次，依据铣削力信号，用模糊逻辑控制，通过改变进给速度实现恒力加工；同时由振动信号的功率谱判断有无颤振发生，并在颤振发生时辨识主振频率，计算最优主轴转速，进而达到实时抑制再生颤振的目的，最后提出试验方案，并实际验证所提方法的可行性．

A multi-sense based intelligent control method is proposed for end milling process. The signals of milling force and chatter are digitized from a dynamometer by the technique of special frequency range samp- ling. The force signal is employed to produce constant force milling using fuzzy logic control, while the chatter signal is applied to determine if chatter vibration exists. Whenever chatter occurs, the chatter frequency is computed through its power spectrum, then the optimal spindle speed is calculated and utilized to suppress the regenerative chatter vibration. This methodology is verified by experiment through actual cutting on a computer numerically controlled milling center.