참고문헌
- Bicchi, A. and Tonietti, G., 2004, "Fast and "Soft-Arm" Tactics," IEEE Robotics and Automation Magazine, Vol. 11, pp. 22-33. https://doi.org/10.1109/MRA.2004.1310939
- Schulte, H. F., 1961, “The Characteristics of the Mckibben Artificial Muscle,” The Application of External Power in Prosthetics and Orthotics Appendix H, Publication 87, Washington DC: National Academy of Sciences, pp. 94-115.
- Daerden, F. and Lefeber, D., 2002, “Pneumatic Artificial Muscles: Actuators for Robotics and Automation,” European Journal of Mechanical and Environment Engineering, Vol. 47, pp.10-21.
- Inoue, K., 1988, “Rubbertuators and Applications for Robots,” Proc. of 4th Int. Symp. on Robotics Research, Cambridge USA, pp.57-63.
- Chou, C.-P. and Hannaford, B., 1994, “Static and Dynamic Characteristics of Mckibben Pneumatic Artificial Muscles,” Proc. of IEEE Int. Conf. on Robotics and Automation, Vol.1, pp. 281-286. https://doi.org/10.1109/ROBOT.1994.350977
- Kothera, C. S., Jangid, M., Sirohi J. and Wereley, N. M., 2006, “Experimental Characterization and Static Modeling of Mckibben Actuators,” Proc. IMECE 2006, Chicago, U.S.A., pp.1-11.
- Tondu, B. and Lopez, P., 2000,“Modeling and Control of Mckibben Artificial Muscle Robot Actuators,” IEEE Control Systems Magazine, Vol. 20, No. 2, pp. 15-38. https://doi.org/10.1109/37.833638
- Kang, B. S. and Song, S., 2009, “Dynamic Characteristics of an Antagonistic Actuation with Pneumatic Artificial Muscles,” Trans. Of the KSME (A), Vol. 33, No. 10, pp.1081-1086. https://doi.org/10.3795/KSME-A.2009.33.10.1081
- Shen, X., 2010, “ Nonlinear Model-Based Control of Pneumatic Artificial Muscle Servo Systems,” Control Engineering Practice, Vol. 18, No.3, pp. 311-317. https://doi.org/10.1016/j.conengprac.2009.11.010
- Jutras, D. and Bigras, P., 2006, “Control of an Actuator Made of Two Antagonist Mckibben Muscles via LMI Optimization,” Proc. of IEEE ISIE, Montreal, Canada, pp. 3072-3077. https://doi.org/10.1109/ISIE.2006.296106
- Ahn, K. K. and Thanh, T. U. Diep Cong, 2005, “Nonlinear PID Control to Improve the Control Performance of the Pneumatic Artificial Muscle Manipulator Using Neural Network,” Journal of Mechanical Science and Technology, Vol. 19, No. 1, pp. 106-115. https://doi.org/10.1007/BF02916109
- Hesselroth, T., Sarkar, K., van der Smaght, P. P. and Schulten, K., 1994, “Neural Network Control of a Pneumatic Robot Arm,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. 24, No. 1, pp. 28-38. https://doi.org/10.1109/21.259683
- Sanchez, A., Mahout, V. and Tondu, B., 1988, “Nonlinear Parametric Identification of a McKibben Artificial Pneumatic Muscle Using Flatness Property of the System,” Proc. of Int. Conf. on Control Applications, pp. 1-4.
- Thongchai, S., Goldfarb, M., Sarkar, N. and Kawamura, K., 2001, “A Frequency Modeling Method of Rubbertuators for Control Application in an IMA Framework,” Proc. of American Control Conference, pp. 1710-1714.
- http://www.festo.com
- Craig, J. J., 1986, Adaptive Control of Mechanical Manipulator, Ph. D. Dissertation, Stanford University.