科研之友
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摘要
Network-based applications can provide intelligence to high-performance drilling (HPD) processes through networked control systems (NCS), with many advantages such as flexibility, and reduced maintenance time and cost. In order to improve drilling efficiency while preserving tool life, this study focuses on the design and implementation of an optimal fuzzy-control system for drilling force. This 49-rule controller is networked and operates on a computer numerical control (CNC) machine tool. It is optimally tuned using a known maximum allowable delay to deal with uncertainties in the drilling process and delays in the network-based application. Experimental results demonstrated that the proposed control strategy provides a good transient response (without, overshoot) and better error-based performance indices than the CNC working alone (uncontrolled), two versions of a PID controller and a 9-rule fuzzy controller.
- 出版日期2011-3
