Spindle vibration suppression for advanced milling process by using self-tuning feedback control

International Journal of Advanced Manufacturing Technology

Volumn 48, Issue 1-4, 2010, Pages 1-10

  Tsai, Nan Chyuan ^a   Shih, Li Wen ^a   Lee, Rong Mao ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Active magnetic bearing; Cutting process; Fuzzy logic algorithm

Indexed keywords

ACTIVE MAGNETIC BEARING; ACTIVE MAGNETIC BEARINGS; CUT DEPTH; CUTTING FORCES; CUTTING PROCESS; DYNAMIC CUTTING; EXPERIMENTAL DATA; EXPERIMENTAL SIMULATIONS; FEED-BACK LOOP; FEED-RATES; FUZZY CONTROLLERS; FUZZY LOGIC ALGORITHMS; MILLING CONDITIONS; MILLING DYNAMICS; MILLING PROCESS; MILLING SYSTEMS; OPERATION CONDITIONS; REAL TIME; SELFTUNING; SPINDLE POSITION; SPINDLE SPEED; VIBRATION SUPPRESSION;

ALGORITHMS; BEARINGS (STRUCTURAL); CUTTING; CUTTING TOOLS; ENZYME INHIBITION; FUZZY CONTROL; FUZZY SYSTEMS; MAGNETIC AMPLIFIERS; MAGNETIC BEARINGS; MAGNETIC MATERIALS; MILLING (MACHINING); MODEL STRUCTURES; TUNING;

FUZZY LOGIC;

EID: 77954212466     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-009-2262-x     Document Type: Article

References (17)

1. Park SS, Qin YM (2007) Robust regenerative chatter stability in machine tools. Int J Adv Manuf Technol 33(3-4):389-402
2. Lauderbaugh LK, Ulsoy AG (1988) Dynamic modeling for control of milling process. J Eng Ind 110(4):367-375
3. Li HZ, Li XP, Chen XQ (2003) A novel chatter stability criterion for the modeling and simulation of the dynamic milling process in the time domain. Int J Adv Manuf Technol 22(9-10):619-625
4. Yang MY, Lee TM (2002) Hybrid adaptive control based on the characteristics of CNC end milling. Int J Mach Tools Manuf 42:489-499
5. Peng YH (2004) On the performance enhancement of self-tuning adaptive control for time-varying machining processes. Int J Adv Manuf Technol 24(5):395-403
6. Nolzen H, Isermann R (1995) Fast adaptive cutting force control for milling operation. IEEE Conference on Control Applications, pp 760-765
7. Jee S, Koren Y (2004) Adaptive fuzzy logic controller for feed drives of a CNC machine tool. Mechatronics 14(3):299-326
8. Liu Y, Wang C (1999) Neural network based adaptive control and optimization in the milling process. Int J Adv Manuf Technol 15(11):791-795
9. Spirig M, Schmied JP, Kanne U (2002) Three practical examples of magnetic bearing control design using a modern tool. J Eng Gas Turbine Power 124(4):1025-1031
10. Kyung JH, Lee CW (2003) Controller design for a magnetically suspended milling spindle based on chatter stability analysis. JSME International Journal, Series C 46(2):416-422
11. Allaire PE, Humphris RR, Kelm RD (1985) Dynamics of a digitally controlled magnetic bearing. Nippon Kikai Gakkai Ronbunshu 51(465):1095-1100
12. Tsai N-C, Kuo C-H, Lee R-M (2007) Regulation on radial position deviation for vertical AMB systems. Mech Syst Signal Process 21:2777-2793
13. Tsai N-C, Hsu S-L (2007) On sandwiched magnetic bearing design. Electromagnetics 27(6):371-385
14. Neff HP (1987) Basic electromagnetic fields, 2nd edn. Harper & Row, New York
15. Kuo BC (1997) Automatic control systems, 7th edn. Prentice Hall, New Jersey
16. Tsai N-C, Huang W-M, Chiang C-W (2008) Dynamic analysis of magnetic actuator for micro-gyroscopes. Electromagnetics 29(2):105-124
17. Franklin GF, Powell JD, Abbas EN (1994) Feedback control of dynamics systems, 3rd edn. Addison Wesley, New York