Adaptive control of the WEDM process using a self-tuning fuzzy logic algorithm with grey prediction
Adaptive control of the WEDM process using a self-tuning fuzzy logic algorithm with grey prediction
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DOI：
10.1007/s00170-006-0623-2
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发表时间：
2007-08
期刊：
影响因子：
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通讯作者：
W. M. Lee;Y. S. Liao
中科院分区：
文献类型：
--
作者：
W. M. Lee;Y. S. Liao
提出了一种提高电火花线切割加工变厚度工件效率的控制系统。以一个采样周期内异常火花的比例定义的异常率Rab0作为控制变量。当切削厚度变化时，允许暂时减小。采用增益自整定模糊控制算法，能迅速抑制切削厚度突然增加的瞬态情况，使系统性能稳定。此外，采用灰色预测器对低通滤波数据处理引起的延时Rabbit进行补偿。实验表明，当切削厚度大于20 mm时，Rabs的最佳参考值有微小的变化，在这些情况下，Rabs的最佳参考值设置为55%。三种情况下进行了测试：恒定的加工参数，constantRab和建议adaptiveRab。结果表明，该控制策略能明显提高切削速度.
A control system to improve the efficiency of machining a workpiece with varying thickness in the wire electrical discharge machining (WEDM) process is proposed. The abnormal ratioRabdefined by the proportion of abnormal sparks in a sampling period is taken as the controlled variable. It is allowed to reduce temporarily as the cutting thickness is changing. A gain self-tuning fuzzy control algorithm is used so that the transient situation as the cutting thickness is suddenly increasing can be suppressed immediately, and a stable performance can be achieved. In addition, the grey predictor is adopted to compensate the time-delayedRabcaused by the low-pass filter data processing. Experiments reveal that there is a slight variance in the optimal reference ofRabwhen the cutting thickness is larger than 20 mm, and its value is set to 55% in these cases. Three cases were tested: the constant machining parameters, the constantRaband the proposed adaptiveRab. The results show that the cutting speed can be obviously improved by the proposed control strategy.