Title :
Cutting torque estimation using probabilistic incremental program evolution algorithm
Author :
Kawaji, Shigeyasu ; Arao, Masaki ; Chen, Yuehui
Author_Institution :
Graduate Sch. of Sci. & Technol., Kumamoto Univ., Japan
Abstract :
Cutting torque and thrust force should be the main output variables in the designing of drilling control systems. In the paper, a method for estimating the cutting torque in the drilling process by using a probabilistic incremental program evolution (PIPE) algorithm is proposed. The simulated and experimental results demonstrate the effectiveness of the proposed method
Keywords :
automatic programming; cutting; learning (artificial intelligence); machining; probability; process control; state estimation; cutting torque estimation; drilling control systems; probabilistic incremental program evolution algorithm; thrust force; Control system synthesis; Control systems; Drilling machines; Feeds; Force control; Neural networks; Servomotors; Sliding mode control; System buses; Torque control;
Conference_Titel :
Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-7108-9
DOI :
10.1109/IECON.2001.976443
