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Review Article

A Study of Anti-swing Fuzzy LQR Control of a Double Serial Link Rotary Pendulum

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References

  • S. Irfan, A. Mehmood, M. T. Razzaq, and J. Iqbal, “Advanced sliding mode control techniques for inverted pendulum: Modelling and simulation,” Eng. Sci.Technol. Int. J., Vol. 21, no. 4, pp. 753–759, 2018.
  • J. F. Trentin, S. da Silva, and H. Schaub, “Variable speed control moment gyroscope in an inverted pendulum,” J. Dyn. Syst. Meas. Contr., Vol. 141, no. 11, pp. 111012/1–111012/9, Nov. 2019.
  • K. Pathak, J. Franch, and S. K. Agrawal, “Velocity and position control of a wheeled inverted pendulum by partial feedback linearization,” IEEE Trans. Robot., Vol. 21, no. 3, pp. 505–513, May. 2005.
  • Y. Fang, W. E. Dixon, D. M. Dawson, and E. Zergeroglu, “Non-linear coupling control laws for an underactuated overhead crane system,” IEEE ASME Trans. Mechatron., Vol. 8, no. 3, pp. 418–423, Sep. 2003.
  • M. Nenad, and B. Tovornik, “Swinging up and stabilization of a real inverted pendulum,” IEEE Trans. Ind. Electron., Vol. 53, no. 2, pp. 631–639, Apr. 2006.
  • B. S. Cazzolato, and Z. Prime, “On the dynamics of the furuta pendulum,” J. Contr. Sci. Eng., Vol. 2011, Article ID 528341, pp. 1–8, 2011.
  • S. Kizir, Z. Bingul, and C. Oysu, “Fuzzy control of a real time inverted pendulum system,” J. Intell. Fuzzy Syst., Vol. 21, no. 1, pp. 121–133, Jan. 2010.
  • W. Baumann, and W. Rugh, “Feedback control of non-linear systems by extended linearization,” IEEE Trans. Autom. Contr., Vol. 31, no. 1, pp. 40–46, Jan. 1986.
  • M. I. Solihin, and A. Wahyudi, “Legowo fuzzy-tuned PID anti-swing control of automatic gantry crane,” J. Vib. Contr., Vol. 16, no. 1, pp. 127–145, Jan. 2010.
  • H. H. Lee, and S. K. Cho. “A new fuzzy-logic anti-swing control for industrial three-dimensional overhead cranes.” International Conference on Robotics and Automation, IEEE, 2001, Vol. 3, pp. 2956–2961.
  • M. B. Trabia, J. M. Renno, and K. A. Moustafa, “Generalized design of an anti-swing fuzzy logic controller for an overhead crane with hoist,” J. Vib. Contr., Vol. 14, no. 3, pp. 319–346, Mar. 2008.
  • Z. B. Hazem, M. J. Fotuhi, and Z. Bingül, “Development of a fuzzy-LQR and fuzzy-LQG stability control for a double link rotary inverted pendulum,” J. Frankl. Inst., Vol. 357, no. 15, pp. 10529–10556, Oct. 2020.
  • W. Zhong, and H. Rock. “Energy and passivity based control of the double inverted pendulum on a cart”, In Proceedings of the International Conference on Control Applications, IEEE, 2001, pp. 896–901.
  • X. Wang, and H. Zhu, “On the comparison of unit dual quaternion and homogeneous transformation matrix,” Adv. Appl. Cliff. Algebr., Vol. 24, no. 1, pp. 213–229, Mar. 2014.
  • Z. B. Hazem, M. J. Fotuhi, and Z. Bingül, “A comparative study of the joint neuro-fuzzy friction models for a triple link rotary inverted pendulum,” IEEE Access, Vol. 8, pp. 49066–49078, Mar. 2020.
  • Z. B. Hazem, M. J. Fotuhi, and Z. Bingül. “A comparative study of the friction models with adaptive coefficients for a rotary triple inverted pendulum”, International Conference on Control Engineering and Information Technology (CEIT), IEEE, Oct. 2018, pp.1–6.
  • D. Chen, Y. Zhang, and S. Li, “Tracking control of robot manipulators with unknown models: A Jacobian-matrix-adaption method,” IEEE Trans. Ind. Inf., Vol. 14, no. 7, pp. 3044–3053, 25 Oct 2017.
  • I. M. Mehedi, U. Ansari, and U. M. AL-Saggaf, “Three degrees of freedom rotary double inverted pendulum stabilization by using robust generalized dynamic inversion control: design and experiments,” J. Vib. Control, Vol. 26, no. 23–24, pp. 2174–2184, Mar. 2020.
  • U. Ansari, I. M. Mehedi, A. H. Bajodah, and U. M. Al-Saggaf. “Robust generalized dynamic inversion control for stabilizing rotary double inverted pendulum”, International Conference on Control Engineering & Information Technology (CEIT), IEEE, 2018, pp. 1–6.
  • M. Adeli. “Anti-swing control for a double-pendulum-type overhead crane via parallel distributed fuzzy LQR controller combined with genetic fuzzy rule set selection.”, in International Conference on Control System, Computing and Engineering, IEEE, Nov. 2011 pp. 306–311.
  • İH Akyüz, Z. Bingül, and S. Kizir, “Cascade fuzzy logic control of a single-link flexible-joint manipulator,” Turk. J. Electr. Eng. Comp. Sci., Vol. 20, no. 5, pp. 713–726, 2012.

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