Abstract
Pneumatic muscle actuator (PMA) is a highly nonlinear system and it is a challenging task to design the controller for it. In this paper, we aim to propose an interval type-2 fuzzy controller. Since the fuzzy sets of interval type-2 fuzzy controller are fuzzy themselves, it has better ability to deal with uncertainty than type-1 fuzzy controller. Both simulation and experiments are conducted to verify the effectiveness of the type-2 fuzzy control algorithm the results confirm that better performance can be achieved by the proposed controller.
Supported by National Natural Science Foundation of China with Grant No. U1713203.
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References
Caldwell, D.G., Medrano-Cerda, G.A., Goodwin, M.: Control of pneumatic muscle actuators. IEEE Control Syst. 15(1), 40–48 (1995)
Reynolds, D.B., Repperger, D.W., Phillips, C.A., Bandry, G.: Modeling the dynamic characteristics of pneumatic muscle. Ann. Biomed. Eng. 31(3), 310–317 (2003)
Tondu, B., Ippolito, S., Guiochet, J.: A seven-degrees-of-freedom robot-arm driven by pneumatic artificial muscles for humanoid robots. Int. J. Robot. Res. 24(4), 257–274 (2005)
Ferris, D.P., Czerniecki, J.M., Hannaford, B.: An ankle-foot orthosis powered by artificial pneumatic muscles. J. Appl. Biomech. 21(2), 189–197 (2005)
Hosoda, K., Sakaguchi, Y., Takayama, H., Takuma, T.: Pneumatic-driven jumping robot with anthropomorphic muscular skeleton structure. Auton. Robot. 28(3), 307–316 (2010)
Rus, D., Tolley, M.T.: Design, fabrication and control of soft robots. Nature 521(7553), 467 (2015)
Kawashima, K., Sasaki, T., Ohkubo, A., et al.: Application of robot arm using fiber knitted type pneumatic artificial rubber muscles. In: Proceedings of 2004 IEEE International Conference on Robotics and Automation, ICRA 2004, vol. 5, pp. 4937–4942. IEEE (2004)
Zhu, L., Shi, X., Chen, Z., Zhang, H.-T., Xiong, C.-H.: Adaptive servomechanism of pneumatic muscle actuators with uncertainties. IEEE Trans. Ind. Electron. 64(4), 3329–3337 (2017)
Thanh, T.D.C., Ahn, K.K.: Nonlinear PID control to improve the control performance of 2 axes pneumatic artificial muscle manipulator using neural network. Mechatronics 16(9), 577–587 (2006)
Jiang, X., Wang, Z., Zhang, C., Yang, L.: Fuzzy neural network control of the rehabilitation robotic arm driven by pneumatic muscles. Ind. Robot Int. J. 42(1), 36–43 (2015)
Aschemann, H., Schindele, D.: Sliding-mode control of a high-speed linear axis driven by pneumatic muscle actuators. IEEE Trans. Ind. Electron. 55(11), 3855–3864 (2008)
Jouppila, V.T., Gadsden, S., Bone, G.M., et al.: Sliding mode control of a pneumatic muscle actuator system with a pwm strategy. Int. J. Fluid Power 15(1), 19–31 (2014)
Schindele, D., Aschemann, H.: Nonlinear model predictive control of a high-speed linear axis driven by pneumatic muscles. In: American Control Conference, 2008, pp. 3017–3022. IEEE (2008)
Bone, G.M., Xue, M., Flett, J.: Position control of hybrid pneumatic-electric actuators using discrete-valued model-predictive control. Mechatronics 25, 1–10 (2015)
Chan, S.W., Lilly, J.H., Repperger, D.W., Berlin, J.E.: Fuzzy PD+I learning control for a pneumatic muscle. In: The 12th IEEE International Conference on Fuzzy Systems, FUZZ 2003, vol. 1, pp. 278–283. IEEE (2003)
Chang, M.K.: An adaptive self-organizing fuzzy sliding mode controller for a 2-DOF rehabilitation robot actuated by pneumatic muscle actuators. Control Eng. Pract. 18(1), 13–22 (2010)
Xie, S.Q., Jamwal, P.J.: An iterative fuzzy controller for pneumatic muscle driven rehabilitation robot. Expert Syst. Appl. 38(7), 8128–8137 (2011)
Mendel, J.M.: Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Prentice Hall PTR, Upper Saddle River (2001)
Wu, D.: A brief tutorial on interval type-2 fuzzy sets and systems. Fuzzy Sets Syst. (2010)
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Huang, X., Zhang, HT., Wu, D., Zhu, L. (2018). Interval Type-2 Fuzzy Control of Pneumatic Muscle Actuator. In: Chen, Z., Mendes, A., Yan, Y., Chen, S. (eds) Intelligent Robotics and Applications. ICIRA 2018. Lecture Notes in Computer Science(), vol 10984. Springer, Cham. https://doi.org/10.1007/978-3-319-97586-3_38
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DOI: https://doi.org/10.1007/978-3-319-97586-3_38
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