Fuzzy logic controller design for intelligent drilling system

N. Ahamed, Z. Yusof, Z. Hamedon, M. Rabbi, Tasriva Sikandar, R. Palaniappan, Md. Asraf Ali, S. M. Rahman, K. Sundaraj
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引用次数: 6

Abstract

An intelligent drilling system can be commercially very profitable in terms of reduction in crude material and labor involvement. The use of fuzzy logic based controller in the intelligent cutting and drilling operations has become a popular practice in the ever growing manufacturing industry. In this paper, a fuzzy logic controller has been designed to select the cutting parameter more precisely for the drilling operation. Specifically, different input criterion of machining parameters are considered such as the tool and material hardness, the diameter of drilling hole and the flow rate of cutting fluid. Unlike the existing fuzzy logic based methods, which use only two input parameters, the proposed system utilizes more input parameters to provide spindle speed and feed rate information more precisely for the intelligent drilling operation.
智能钻井系统的模糊控制器设计
智能钻井系统在减少原油用量和劳动力投入方面具有很高的商业效益。在日益发展的制造业中,在智能切削和钻孔作业中使用基于模糊逻辑的控制器已成为一种流行的做法。本文设计了一种模糊逻辑控制器,以便在钻孔作业中更精确地选择切削参数。具体来说,考虑了刀具和材料硬度、钻孔直径、切削液流量等不同的加工参数输入准则。与现有的基于模糊逻辑的方法仅使用两个输入参数不同,该系统利用更多的输入参数更精确地提供主轴转速和进给速率信息,以实现智能钻孔作业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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