220
Views
6
CrossRef citations to date
0
Altmetric
Articles

Adaptive fuzzy sliding mode algorithm-based decentralised control for a permanent magnet spherical actuator

, , , &
Pages 403-418 | Received 04 Feb 2018, Accepted 20 Nov 2018, Published online: 11 Dec 2018

References

  • Bai, S., Hansen, M. R., & Andersen, T. O. (2009). Modelling of a special class of spherical parallel manipulators with Euler parameters. Robotica, 27(2), 161–170. doi:10.1017/S0263574708004402
  • Bai, K., & Lee, K. M. (2014). Direct field-feedback control of a ball-joint-like permanent-magnet spherical motor. IEEE/ASME Transactions on Mechatronics, 19(3), 975–986. doi:10.1109/TMECH.2013.2264565
  • Bartolini, G., Levant, A., Pisano, A., & Usai, E. (2016). Adaptive second-order sliding mode control with uncertainty compensation. International Journal of Control, 89(9), 1747–1758. doi:10.1080/00207179.2016.1142616
  • Chen, B., Lin, C., Liu, X., & Liu, K. (2016). Observer-based adaptive fuzzy control for a class of nonlinear delayed systems. IEEE Transactions on Systems Man & Cybernetics Systems, 46(1), 27–36. doi:10.1109/TSMC.2015.2420543
  • Chen, B., Liu, X. P., Ge, S. S., & Lin, C. (2012). Adaptive fuzzy control of a class of nonlinear systems by fuzzy approximation approach. IEEE Transactions on Fuzzy Systems, 20(6), 1012–1021. doi:10.1109/TFUZZ.2012.2190048
  • Chen, W., Zhang, L., Yan, L., & Liu, J. (2012). Design and control of a three degree-of-freedom permanent magnet spherical actuator. Sensors & Actuators A Physical, 180, 75–86. doi: 10.1016/j.sna.2012.04.010
  • Chu, J., Niguchi, N., & Hirata, K. (2013). Feedback control of outer rotor spherical actuator using adaptive neuro-fuzzy inference system. International conference on sensing technology, Wellington, New Zealand, (pp. 401–405).
  • Dehez, B., Grenier, D., & Raucent, B. (2002). Two-degree-of-freedom spherical actuator for Omnimobile Robot. International conference on robotics and Automation, Washington, DC (pp. 2381–2386).
  • Fang, Y., Fei, J., & Hu, T. (2018). Adaptive backstepping fuzzy sliding mode vibration control of flexible structure. Journal of Low Frequency Noise, Vibration and Active Control, 1–18. doi:10.1177/1461348418767097
  • Fei, J., & Lu, C. (2018). Adaptive fractional order sliding mode controller with neural estimator. Journal of the Franklin Institute, 355(5), 2369–2391. doi:10.1016/j.jfranklin.2018.01.006
  • Feng, G. (2006). A survey on analysis and design of model-based fuzzy control systems. IEEE Transactions on Fuzzy Systems, 14(5), 676–697. doi:10.1109/TFUZZ.2006.883415
  • Hey, J., Teo, T. J., Bui, V. P., Yang, G., & Martinez-Botas, R. (2014). Electromagnetic actuator design analysis using a two-stage optimization method with coarse-fine model output space mapping. IEEE Transactions on Industrial Electronics, 61(10), 5453–5464. doi:10.1109/TIE.2014.2301727
  • Jia, Y. (2000). Robust control with decoupling performance for steering and traction of 4WS vehicles under velocity-varying motion. IEEE Transactions on Control Systems Technology, 8(3), 554–569. doi: 10.1109/87.845885
  • Jia, Y. (2003). Alternative proofs for improved LMI representations for the analysis and the design of continuous-time systems with polytopic type uncertainty: A predictive approach. IEEE Transactions on Automatic Control, 48(8), 1413–1416. doi:10.1109/TAC.2003.815033
  • Li, X., Liu, J., Chen, W., & Bai, S. (2018). Integrated design, modeling and analysis of a novel spherical motion generator driven by electromagnetic principle. Robotics and Autonomous Systems, 106, 69–81. doi:10.1016/j.robot.2018.04.006
  • Lim, C. K., Chen, I. M., Yan, L., Yang, G., & Lee, K. M. (2009). Electromechanical modeling of a permanent-magnet spherical actuator based on magnetic-dipole-moment principle. IEEE Transactions on Industrial Electronics, 56(5), 1640–1648. doi:10.1109/TIE.2008.2009526
  • Liu, J., Deng, H., Chen, W., & Bai, S. (2017). Robust dynamic decoupling control for permanent magnet spherical actuators based on extended state observer. IET Control Theory & Applications, 11(5), 619–631. doi:10.1049/iet-cta.2016.0551
  • Liu, J., Deng, H., Hu, C., Hua, Z., & Chen, W. (2017). Adaptive backstepping sliding mode control for 3-DOF permanent magnet spherical actuator. Aerospace Science & Technology, 67, 62–71. doi:10.1016/j.ast.2017.03.032
  • Ma, Y., Na, Z., & Zhong, X. (2013). Decentralized robust control for uncertain nonlinear descriptor large-scale composite systems with input saturation. International Journal of Innovative Computing Information & Control, 9(10), 3991–4000.
  • Maeda, S., Hirata, K., Ikejiri, S., & Tong, M. (2010). Feedback control of electromagnetic spherical actuator with three-degree-of-freedom. In XIX international conference on electrical machines, Rome, Italy, (pp. 1–6).
  • Murray, R. M., Sastry, S. S., & Li, Z. (1994). A mathematical introduction to robotic manipulation. Boca Raton, FL: CRC Press, Inc.
  • Shen, Q., Shi, P., & Shi, Y. (2016). Distributed adaptive fuzzy control for nonlinear multiagent systems via sliding mode observers. IEEE Transactions on Cybernetics, 46(12), 3086–3097. doi:10.1109/TCYB.2015.2496963
  • Shigeki, T., Shigeru, S., Zhang, G., Yasutaro, M., & Kazuto, N. (1995). Multi degree of freedom spherical ultrasonic motor. International conference on robotics and automation, Nagoya, Japan, (Vol. 3, pp. 2935–2940).
  • Son, H., & Lee, K. M. (2010). Open-loop controller design and dynamic characteristics of a spherical wheel motor. IEEE Transactions on Industrial Electronics, 57(10), 3475–3482. doi:10.1109/TIE.2009.2039454
  • Son, H., & Lee, K. M. (2014). Control system design and input shape for orientation of spherical wheel motor. Control Engineering Practice, 24, 120–128. doi:10.1016/j.conengprac.2013.11.013
  • Takahara, K., Hirata, K., Niguchi, N., Nishiura, Y., & Sakaidani, Y. (2017). Experimental evaluation of the static characteristics of multi-degree-of-freedom spherical actuators. IEEE Transactions on Magnetics, 53(11), 1–5. doi:10.1109/TMAG.2017.2717870
  • Tang, Y., Tomizuka, M., Guerrero, G., & Montemayor, G. (2000). Decentralized robust control of mechanical systems. IEEE Transactions on Automatic Control, 45(4), 771–776. doi:10.1109/9.847120
  • Toyama, S., & Kobayashi, A. (1996). Development of spherical ultrasonic motor. CIRP Annals-Manufacturing Technology, 45(1), 27–30. doi:10.1016/S0007-8506(07)63010-8
  • Utkin, V., Guldner, J., & Shi, J. (2009). Sliding mode control in electro-mechanical systems. Boca Raton, FL: CRC Press.
  • Wang, C., & Lin, Y. (2015). Decentralized adaptive tracking control for a class of interconnected nonlinear time-varying systems. Automatica, 54, 16–24. doi:10.1016/j.automatica.2015.01.041
  • Wang, H., Liu, W., Qiu, J., & Liu, P. X. (2017). Adaptive fuzzy decentralized control for a class of strong interconnected nonlinear systems with unmodeled dynamics. IEEE Transactions on Fuzzy Systems, 26(2), 836–846. doi:10.1109/TFUZZ.2017.2694799
  • Wang, W., Wang, J., Jewell, G. W., & Howe, D. (2003). Design and control of a novel spherical permanent magnet actuator with three degrees of freedom. IEEE/ASME Transactions on Mechatronics , 8(4), 457–468. doi:10.1109/TMECH.2003.820003
  • Xia, C., Song, P., Li, H., Li, B., & Shi, T. (2009). Research on torque calculation method of permanent-magnet spherical motor based on the finite-element method. IEEE Transactions on Magnetics, 45(4), 2015–2022. doi:10.1109/TMAG.2009.2012390
  • Yan, L., Chen, I. M., Lim, C. K., Yang, G., & Lee, K. M. (2011). Design, modeling and experiments of 3-DOF electromagnetic spherical actuators. Dordrecht: Springer.
  • Yan, L., Zhang, L., Zhu, B., Zhang, J., & Jiao, Z. (2017). Single neural adaptive controller and neural network identifier based on PSO algorithm for spherical actuators with 3D magnet array. Review of Scientific Instruments, 88(10), 105001. doi:10.1063/1.5004677
  • Zhang, L., Chen, W., Yan, L., & Liu, J. (2011). Trajectory planning and current control optimization of three degree-of-freedom spherical actuator. IEEE/RSJ international conference on intelligent robots and systems, San Francisco, CA, USA (pp. 744–749).
  • Zheng, W., Wu, G., Xu, G., & Chen, X. (2015). Adaptive fuzzy sliding-mode control of uncertain nonlinear system. International conference on management, education, information and control, Shenyang, China (pp. 707–711).
  • Zhou, Q., Li, H., & Shi, P. (2015). Decentralized adaptive fuzzy tracking control for robot finger dynamics. IEEE Transactions on Fuzzy Systems, 23(3), 501–510. doi:10.1109/TFUZZ.2014.2315661
  • Zhou, Q., Li, H., Wu, C., Wang, L., & Ahn, C. K. (2017). Adaptive fuzzy control of nonlinear systems with unmodeled dynamics and input saturation using small-gain approach. IEEE Transactions on Systems Man & Cybernetics Systems, 47(8), 1979–1989. doi:10.1109/TSMC.2016.2586108
  • Zhu, M., & Li, Y. (2010). Decentralized adaptive fuzzy sliding mode control for reconfigurable modular manipulators. International Journal of Robust and Nonlinear Control: IFAC-Affiliated Journal, 20(4), 472–488. doi:10.1002/rnc.1444

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.