Fuzzy Logic Controller Design for Intelligent Drilling System

• Main Authors: Ahamed, Nizam Uddin, Zulkifli, Md. Yusof, Zamzuri, Hamedon, Rabbi, M. F., Tasriva, Sikandar, Palaniappan, Rajkumar, Ali, Md. Asraf, Rahman, S. A. M. Matiur, Sundaraj, Kenneth
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2016
• Subjects: TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/14988/1/Paper_ID_60.pdf; http://umpir.ump.edu.my/id/eprint/14988/7/fkp-2016-uddin-fuzzy%20logic%20controller%20design1.pdf; http://umpir.ump.edu.my/id/eprint/14988/; https://doi.org/10.1109/I2CACIS.2016.7885316

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 th...