NEURO-PREDICTIVE CONTROLLER FOR STABILIZATION OF GIMBAL MECHANISM WITH CROSS-COUPLING, 236-244.

Saeid Niazi,∗ Alireza Toloei,∗ and Reza Ghasemi∗∗

References

  1. [1] M.K. Masten, Inertially stabilized platforms for optical imagingsystems, IEEE Control Systems Magazine, 28(1), 2008, 47–64.
  2. [2] M. Abdo, A.R. Vali, A.R. Toloei, and M.R. Arvan, Research onthe cross-coupling of a two axes gimbal system with dynamicunbalance, International Journal of Advanced Robotic Systems,10, 2013, 357–370.
  3. [3] D. Nguyen and V. Nguyen, Robust control of two-axis gim-bal system, 2019 International Symposium on Electrical andElectronics Engineering (ISEE), Ho Chi Minh, Vietnam, 2019,177–182.
  4. [4] A.K. Rue, Precision stabilization systems, IEEE Transactionson Aerospace and Electronic Systems, AES-10(1), 1974, 34–42.
  5. [5] B. Ekstrand, Equations of motion for a two-axes gimbal system,IEEE Transactions on Aerospace and Electronic Systems,37(3), 2001, 1083–1091.
  6. [6] D.R. Otlowski, K. Wiener, and B.A. Rathbun, Mass propertiesfactors in achieving stable imagery from a gimbal mountedcamera, Airborne Intelligence, Surveillance, Reconnaissance(ISR) Systems and Applications V, vol. 6946, InternationalSociety for Optics and Photonics, 2008, 69460B.243
  7. [7] T. Song, D. Lin, and J. Wang, Disturbance observer–basedcontrol for missile non-strapdown seeker disturbance rejection,Advances in Mechanical Engineering, 8(4), 2016, 1–15.
  8. [8] H. Ozgiir, E. Aydan, and E. Ismet, Proxy-based sliding modestabilization of a two-axis gimbaled platform, Proceedings ofthe World Congress on Engineering and Computer Science, 1,2011, 1–7.
  9. [9] M. Pirzadeh and A.R. Toloei, Design of generalized predictivecontrol for the stabilizing loop from a two-axis gimbal seekerconsidering cross-coupling in between two channels, Interna-tional Journal of Engineering, 32(4), 2019, 555–561.
  10. [10] M.M. Abdo, A.R. Vali, A.R. Toloei, and M. R. Arvan, Stabi-lization loop of a two axes gimbal system using self-tuning PIDtype fuzzy controller, ISA Transactions, 53(2), 2014, 591–602.
  11. [11] B.J. Smith, W.J. Schrenk, W.B. Gass, and Y.B. Shtessel,Sliding mode control in a two-axis gimbal system, 1999 IEEEAerospace Conf. Proc. (Cat. No. 99TH8403), Snowmass atAspen, CO, USA, vol. 5, 1999, 457–470.
  12. [12] H. Jianga and H.J. Wei, Analysis of zenith pass problemand tracking strategy design for roll–Pitch seeker, AerospaceScience and Technology Journal, 23(1), 2012, 345–351.
  13. [13] J.A.R. Krishna Moorty, R. Marathe, and H. Babu, Fuzzycontroller for line-of-sight stabilization systems, Optical Engi-neering, 43(6), 2004, 1394–1400.
  14. [14] C. Lin, C. Hsu, and Y.J. Mon, Self-organizing fuzzy learningCLOS guidance law design, IEEE Transactions on Aerospaceand Electronic Systems, 39(4), 2003, 1144–1151.
  15. [15] K.K. Tan and T.H. Lee, Composite control of a gyro mirrorline-of-sight stabilization platform—Design and auto-tuning,ISA Transactions, 40(1), 2016, 155–171.
  16. [16] J.A.R. Krishna Moorty, R. Marathe, and V.R. Sule, H controllaw for line-of-sight stabilization for mobile land vehicles,Optical Engineering, 4(11), 2002, 2935–2944.
  17. [17] D. Zheng, D. Lin, J. Wang, and X. Xu, Dynamic stabilityof rolling missiles employing a two-loop autopilot with con-sideration for the radome aberration parasitic feedback loop,Aerospace Science and Technology, 61, 2017, 1–10.
  18. [18] P. Manouchehri, R. Ghasemi, A.R Toloei, and F. Moham-madi, Distributed neural observer-based formation strategy ofaffine nonlinear multi-agent systems with unknown dynamics,Journal of Circuits, Systems and Computers, 2020, 30(2), 202,1–15, DOI: 10.1142/S0218126621300051.
  19. [19] K. Hornik, M. Stincheombe, and H. White, Multilayer feedfor-ward networks are universal approximators, Neural Networks,2, 1989, 359–366.
  20. [20] K.S. Narendra, Neural networks for control theory and practice,Proceedings of the IEEE, 84(10), 1996, 1385–1406.
  21. [21] K.J. Hunt, D. Sbardato, R. Zbikowski, and P.J. Gawthrop,Neural networks for control systems–A survey, Automatica,28(6), 1992, 1083.
  22. [22] J. Fang and R. Yin, An adaptive nonlinear control for gyrostabilized platform based on neural networks and disturbanceobserver, Mathematical Problems in Engineering, 2014, 2014,1–9.
  23. [23] P. Sørensen, M. Nøgaard, O. Ravn, and N. Poulsen, Implemen-tation of neural network based non-linear predictive control,Neurocomputing, 28, 1999, 37–51.
  24. [24] P. Gil, J. Henriques, A. Dourado, and H. Duarte-Ramos, Con-strained neural model predictive control with guaranteed freeoffset, 2000 26th Annual Conf. of the IEEE Industrial Electron-ics Society. IECON 2000. 2000 IEEE International Conferenceon Industrial Electronics, Control and Instrumentation. 21stCentury Technologies, Nagoya, Japan, vol. 3, 2000, 1991–1996.
  25. [25] Z. Yaghoubi and H. Zarabadipour, Hybrid neural-network con-trol of mobile robot system via anti-control of chaos, Mecha-tronic Systems and Control (formerly Control and IntelligentSystems), 48(4), 2020, 1–10.
  26. [26] A.R. Toloei and S. Niazi, Estimation of LOS rates for targettracking problems using EKF and UKF algorithms—A com-parative study, International Journal of Engineering, Trans-actions B: Applications, 28(2), 2014, 172–179.
  27. [27] A.R. Toloei and S. Niazi, State estimation for target trackingproblems with nonlinear Kalman filter algorithms, Interna-tional Journal of Computer Applications, 98(17), 2014, 30–36.
  28. [28] A. Sharafian and R. Ghasemi, Fractional neural observer designfor a class of nonlinear fractional chaotic systems, NeuralComputing & Applications, 31, 2019, 1201–1213.
  29. [29] F.G. Rossomando, C. Soria, E.O. Freire, and R.O. Carelli,Sliding mode neuro-adaptive controller designed in discretetime for mobile robots, Mechatronic Systems and Control(formerly Control and Intelligent Systems), 46(2), 2018, 55–63.
  30. [30] D. Soloway and P.J. Haley, Neural generalized predictivecontrol, Proc. of the 1996 IEEE International Symposium onIntelligent Control, Dearborn, MI, USA, 1996, 277–282.

Important Links:

Go Back