Robust neural network control system design for linear ultrasonic motor

Neural Computing and Applications

Volumn 18, Issue 6, 2009, Pages 567-575

  Lin, Chih Min ^a   Leng, Chin Hsu ^a   Hsu, Chun Fei ^b   Chen, Chiu Hsiung ^c  

^a YUAN ZE UNIVERSITY   (Taiwan)

^b CHUNG HUA UNIVERSITY   (Taiwan)

^c CHINA UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Linear ultrasonic motor; Neural network; Robust control

Indexed keywords

EID: 70349494365     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-008-0228-9     Document Type: Article

References (17)

1. Sashida T, Kenjo T (1993) An introduction to ultrasonic motors. Clarendon Press, Oxford
2. He S, Chen W, Tao X, Chen Z (1998) Standing wave bi-directional linearly moving ultrasonic motor. IEEE Trans Ultrason Ferroelectr Freq Control 45(5):1133-1139. doi:10.1109/58.726435
3. Tan KK, Lee TH, Zhou HX (2001) Micro-positioning of linear-piezoelectric motors based on a learning nonlinear PID controller. IEEE/ASME Trans Mechatoron 6(4):428-436
4. Wai RJ, Lin CM, Peng YF (2004) Adaptive hybrid control for linear piezoelectric ceramic motor drive using diagonal recurrent CMAC network. IEEE Trans Neural Netw 15(6):1491-1506. doi:10.1109/TNN.2004.837784
5. Lin CM, Peng YF (2004) Adaptive CMAC-based supervisory control for uncertain nonlinear systems. IEEE Trans Syst Man Cybern B 34(2):1248-1260. doi:10.1109/TSMCB.2003.822281
6. Xinghuo Y, Efe MO, Kaynak O (2002) A general backpropagation algorithm for feedforward neural networks learning. IEEE Trans Neural Netw 13(1):251-254. doi:10.1109/72.977323
7. Lin CM, Hsu CF (2002) Neural-network-based adaptive control for induction servomotor drive system. IEEE Trans Ind Electron 49(1):115-123. doi:10.1109/41.982255
8. Duarte-Mermoud MA, Suarez AM, Bassi DF (2005) Multivariable predictive control of a pressurized tank using neural networks. Neural Comput Appl 15(1):18-25. doi:10.1007/s00521-005-0003-0
9. Yu DL, Yu DW (2007) A new structure adaptation algorithm for RBF networks and its application. Neural Comput Appl 16(1):91-100. doi:10.1007/s00521-006-0067-5
10. Hsu CF (2007) Self-organizing adaptive fuzzy neural control for a class of nonlinear systems. IEEE Trans Neural Netw 18(4):1232-1241. doi:10.1109/TNN.2007.899178
11. Lee CH, Teng CC (2000) Indentification and control of dynamic systems using recurrent fuzzy neural networks. IEEE Trans Fuzzy Syst 8(4):349-366. doi:10.1109/91.868943
12. Lin CM, Hsu CF (2002) Recurrent neural network adaptive control of wing rock motion. J Guid Dyn Contr 25(6):1163-1165. doi:10.2514/2.4998
13. Mastorocostas PA, Theocharis JB (2002) A recurrent fuzzy-neural model for dynamic system identification. IEEE Trans Syst Man Cybern B 32(2):176-190. doi:10.1109/3477.990874
14. Lin CM, Hsu CF (2003) Neural network hybrid control for antilock braking systems. IEEE Trans Neural Netw 14(2):351-359. doi:10.1109/TNN.2002.806950
15. Lin CM, Hsu CF (2004) Supervisory recurrent fuzzy neural network control of wing rock for slender delta wings. IEEE Trans Fuzzy Syst 12(5):733-742. doi:10.1109/TFUZZ.2004.834803
16. Slotine JJE, Li WP (1991) Applied nonlinear control. Prentice-Hall, Englewood Cliffs
17. Chen BS, Lee CH (1996) H∞ tracking design of uncertain nonlinear SISO systems: adaptive fuzzy approach. IEEE Trans Fuzzy Syst 4(1):32-43. doi:10.1109/91.481843