Identification of pneumatic artificial muscle manipulators by a MGA-based nonlinear NARX fuzzy model

Mechatronics

Volumn 19, Issue 1, 2009, Pages 106-133

  Anh, Ho Pham Huy ^a   Ahn, Kyoung Kwan ^a  

^a University of Ulsan   (South Korea)

Author keywords

Modified genetic algorithm; NARX Takagi Sugeno (TS) fuzzy model; Nonlinear ARX model; Optimal identification; PAM manipulator

Indexed keywords

GENETIC ALGORITHMS; MANIPULATORS; MUSCLE; PNEUMATICS; TIME VARYING SYSTEMS;

ARX MODEL; CONVENTIONAL IDENTIFICATION; FUZZY MODEL IDENTIFICATION; INPUT-OUTPUT TRAINING; MODIFIED GENETIC ALGORITHMS; PNEUMATIC ARTIFICIAL MUSCLE; PREDICTIVE CAPABILITIES; TAKAGI-SUGENO FUZZY MODELS;

PNEUMATIC DRIVES;

EID: 57649235515     PISSN: 09574158     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mechatronics.2008.06.004     Document Type: Article

References (34)

1. Repperger D.W., Phillips C.A., Neidhard-Doll A., Reynolds D.B., and Berlin J. Power/energy metrics for controller evaluation of actuators similar to biological systems. Mechatronics 15 4 (2005) 459-469
2. Chou CP, Hannaford B. Static and dynamic characteristics of McKibben pneumatic artificial muscles. In: Proceedings of the 1994 IEEE robotics and automation conference; 1994. p. 281-6.
3. Repperger DW, Johnson KR, Phillips CA. VSC position tracking system involving a large scale pneumatic muscle actuator. In: Proceedings of the IEEE conference on decision control, Tampa, FL; December 1998. p. 4302-7.
4. Tsagarakis N, Darwin GC. Improved modeling and assessment of pneumatic muscle actuators. In: Proceedings of the IEEE international conference on robotics and automation, San Francisco, CA; 2000. p. 3641-6.
5. Caldwell D.G., Tsagarakis N., and Medrano-Cerda G.A. Bio-mimetic actuators: polymeric pseudo muscular actuators and pneumatic muscle actuators for biological emulation. Mechatronics 10 4 (2000) 499-530
6. Cocatre-Zilgien J.H., Delcomyn F., and Hart J.M. Performance of a muscle-like 'leaky' pneumatic actuator powered by modulated air pulses. IEEE J Robot Syst 13 6 (1996) 379-390
7. Pack RT, Christopher JJL, Kawamura K. A rubbertuator-based structure climbing inspection robot. In: Proceedings of the IEEE international conference on robotics and automation, vol. 3, Albuquerque, NM; April 1997. p. 1869-74.
8. Lilly J. Adaptive tracking for pneumatic muscle actuators in bicep and tricep configurations. IEEE Trans Neural Syst Rehabil Eng 11 3 (2003) 333-339
9. Ahn KK, Anh HPH. System modeling and identification of the two-link pneumatic artificial muscle (PAM) manipulator optimized with genetic algorithm. In: Proceedings of the 2006 IEEE-ICASE international conference, Busan, Korea; 2006. p. 356-61.
10. Ahn KK, Anh HPH.A new approach of modeling and identification of the pneumatic artificial muscle (PAM) manipulator based on recurrent neural network. In: Proceedings of the IMechE, part I: Journal of systems and control engineering, vol. 221(I8); 2007. p. 1101-22.
11. Ahn K.K., and Thanh T.D.C. Nonlinear PID control to improve the control performance of 2 axes pneumatic artificial muscle manipulator using neural network. Mechatronics 16 9 (2006) 577-587
12. Ahn K.K., and Thanh T.D.C. Intelligent phase plane switching control of pneumatic artificial muscle manipulators with magneto-rheological brake. Mechatronics 16 2 (2006) 85-95
13. Ahn K.K., and Nguyen H.T.C. Intelligent switching control of a pneumatic muscle robot arm using learning vector quantization neural network. Mechatronics 17 4 (2007) 255-262
14. Reynolds DB, Repperger DW, Phillips CA, Bandry G. Dynamic characteristics of pneumatic muscle. In: IEEE Ann Biomed Eng, vol. 31(3); March 2003. p. 310-7.
15. Medrano-Cerda GA, Bowler CJ, Caldwell DG. Adaptive position control of antagonistic pneumatic muscle actuators. In: Proceedings of IEEE international conference on intelligent robots and systems, Pittsburgh, PA; August 1995. p. 378-83.
16. Hesselroth T., Sarkar K., Van der Smagt P., and Schulten K. Neural network control of a pneumatic robot arm. IEEE Trans Syst Man Cybernet 24 1 (1994) 28-38
17. Repperger DW, Phillips CA, Krier M. Controller design involving gain scheduling for a large scale pneumatic muscle actuator. In: Proceedings of IEEE conference on control applications, Kohala Coast, HI; August 1999. p. 285-90.
18. Chan SW, Lilly J, Berlin JE. Fuzzy PD + I learning control for a pneumatic muscle. In: Proceedings of IEEE international conference on fuzzy systems, St. Louis, MO; May 2003. p. 278-83.
19. Lilly JH, Chang X. Tracking control of a pneumatic muscle by an evolutionary fuzzy controller. In: IEEE Intell. Automat. Soft Comput., vol. 9(3); September 2003. p. 227-44.
20. Balasubramanian K, Rattan KS. Fuzzy logic control of a pneumatic muscle system using a linearizing control scheme. In: Proceedings of the international conference, North American fuzzy information processing society; 2003. p. 432-6.
21. Balasubramanian K, Rattan KS. Feed-forward control of a non-linear pneumatic muscle system using fuzzy logic. In: Proceedings of IEEE international conference, fuzzy systems, vol. 1; 2003. p. 272-7.
22. Verrelst B., Vanderborght B., Vermeulen J., Ham R.V., Naudet J., and Lefeber D. Control architecture for the pneumatically actuated dynamic walking biped "Lucy". Mechatronics 15 6 (2005) 703-729
23. Osuka K, Kimura T, Ono T. H∞ control of a certain nonlinear actuator. In: Proceedings of IEEE international conference on decision and control, Honolulu, Hawaii, vol. 1; 1990. p. 370-1.
24. Tian L., and Collins C. Adaptive neuro-fuzzy control of a flexible manipulator. Mechatronics 15 10 (2005) 1305-1320
25. Ming A., Furukawa S., Teshima T., Shimojo M., and Kajitani M. A new golf swing robot to simulate human skill-learning control based on direct dynamics model using recurrent ANN. Mechatronics 16 7 (2006) 443-449
26. Ying C., Jia-Fan Z., Can-Jun Y., and Bin N. Design and hybrid control of the pneumatic force-feedback systems for Arm-Exoskeleton by using on/off valve. Mechatronics 17 6 (2007) 325-335
27. Abdelhameed M.M. Enhancement of sliding mode controller by fuzzy logic with application to robotic manipulators. Mechatronics 15 4 (2005) 439-458
28. Chen T.Y., and Chen C.J. Improvement of simple genetic algorithm in structural design. Int J Numer Meth Eng 40 (2000) 1323-1334
29. Potts J.C., Giddens T.D., and Yadav S.B. The development and evaluation of an improved GA based on migration and artificial selection. IEEE Trans Syst Man Cybernet 24 1 (1994) 73-86
30. Back T., and Hoffmeister F. Extended selection mechanism in genetic algorithm. Proceedings of the 4th IEEE international conference of genetic algorithms (2001), University of California, CA, USA 89-99
31. Chan C.H., and Liu G. Hysteresis identification and compensation using a genetic algorithm with adaptive search space. Mechatronics 17 7 (2007) 391-402
32. Affi Z., El-Kribi B., and Romdhane L. Advanced mechatronic design using a multi-objective genetic algorithm optimization of a motor-driven four-bar system. Mechatronics 17 9 (2007) 489-500
33. Park YJ, Cho H, Cha DH. Genetic algorithm-based optimization of fuzzy logic controller using characteristic parameters. In: Proceedings of the IEEE international conference on evolutionary computation; 1995. p. 831-6.
34. Cheong F., and Lai R. Constraining the optimization of a fuzzy logic controller using an enhanced genetic algorithm. IEEE Trans Syst Man Cybernet Part B: Cybernet 30 1 (2000)