Research on modeling thermal dynamic errors of precision machine based on fuzzy logic and artificial neural network

Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science)

Volumn 38, Issue 6, 2004, Pages 742-746

  Fu, Jian Zhong ^a   Chen, Zi Chen ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Artificial neural network; Fuzzy logic; Precision machine; Thermal error

Indexed keywords

COMPUTER SIMULATION; ERROR ANALYSIS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; TEMPERATURE MEASUREMENT;

ARTIFICIAL NEURAL NETWORK; FUZZY LOGIC; LINGUISTIC RULE DESCRIPTIONS; MODELING; PRECISION MACHINE; THERMAL ERROR;

FUZZY SETS;

EID: 4544286190     PISSN: 1008973X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. RAMESH R, MANNAN M A, POO A N. Error compensation in machine tools - A review Part II: thermal errors [J]. International Journal of Machine Tools and Manufacture, 2000, 40(9): 1257-1284.
2. NI Jun. A perspective review of CNC machine accuracy enhancement through real-time error Compensation [J]. China Mechanical Engineering, 1997, 8(1): 29-33.
3. CHEN Jeng-shyong. Computer-aided accuracy enhancement for multi-axis CNC machine tool [J]. International Journal of Machine Tools and Manufacture, 1995, 35(4): 593-605.
4. LIU You-wu, ZHANG Qing, ZHAO Xiao-song, et al. Multi-body system-based technique for compensating thermal errors in machining centers [J]. Chinese of Journal of Mechanical Engineering, 2002, 38(1): 127-130.
5. YANG Qing-dong, VAN DAN BERGH C, VENHERCK P, et al. Learning approach to compensate machine tools thermal deformation based on neural network [J]. Chinese of Journal of Mechanical Engineering, 2000, 36(1): 92-95.
6. TAKAGI Tomohiro, SUGENO Michio. Fuzzy identification of systems and its applications to modeling and control [J]. IEEE Transactions on Systems, Man and Cybernetics, 1985, 15(1): 116-132.