AN IMPROVED MODEL-FREE ADAPTIVE CONTROL OF MARINE GENERATOR EXCITATION SYSTEM

Wei Zhang, Weifeng Shi, Guiyan Wang, and Bing Sun

References

  1. [1] S. Mashayekh and K.L. Butler-Purry, An integrated security-constrained model-based dynamic power management approach for isolated microgrids in all-electric ships, IEEE Trans-actions on Power Systems, 30(6), 2015, 2934–2945.
  2. [2] S.R. Shaw, S.B. Leeb, and L.K. Norford, Nonintrusive loadmonitoring and diagnostics in power systems, IEEE Trans-actions on Instrumentation and Measurement, 57(7), 2008,1445–1454.
  3. [3] S. Bose, S. Pal, and B. Natarajan, Analysis of optimal recon-figuration of shipboard power systems, IEEE Transactions onPower Systems, 27(1), 2012, 189–197.
  4. [4] O. Kuljaca, J. Gadewadikar, and R.R. Selmic, Adaptive neuralnetwork frequency control for thermopower generators powersystem, International Journal of Robotics and Automation,26(1), 2011, 86–92.
  5. [5] A. Suebsomran, Adaptive neural network control of electromagnetic suspension system, International Journal of Roboticsand Automation, 29(2), 2014, 144–154.
  6. [6] T.L. Mai, Y.N. Wang, and T.Q. Ngo, Adaptive trackingcontrol for robot manipulators using fuzzy wavelet neuralnetworks, International Journal of Robotics and Automation,30(1), 2015, 26–39.
  7. [7] M. Asadollahi and H. Dehghani, Excitation control of a synchronous generator using a novel fractional-order controller,IET Generation, Transmission and Distribution, 9(15), 2015,2255–2260.
  8. [8] J. Arif, S. Ray, and B. Chaudhuri, MIMO feedback linearization control for power systems, International Journal ofElectrical Power and Energy Systems, 45(1), 2013, 87–97.
  9. [9] J.A. Laghari, H. Mokhlis, and A.H.A. Bakar, A fuzzy basedload frequency control for distribution network connectedwith mini hydro power plant, Journal of Intelligent and FuzzySystems, 26(3), 2014, 1301–1310.
  10. [10] M.J. Alden and X. Wang, Robust H∞ control of time delayedpower systems, Systems Science & Control Engineering, 3(1),2015, 253–261.
  11. [11] W. Yao, L. Jiang, and J. Fang, Decentralized nonlinear optimalpredictive excitation control for multi-machine power systems,International Journal of Electrical Power & Energy Systems,55, 2014, 620–627.
  12. [12] T. Ganesan, P. Vasant, and I. Elamvazuthi, Hopfield neuralnetworks approach for design optimization of hybrid powersystems with multiple renewable energy sources in a fuzzyenvironment, Journal of Intelligent and Fuzzy Systems, 26(5),2014, 2143–2154.
  13. [13] R. Niwas, B. Singh, S. Goel, and C. Jain, Unity power factoroperation and neutral current compensation of diesel genera-tor set feeding three-phase four-wire loads, IET Generation,Transmission and Distribution, 9(13), 2015, 1738–1746.
  14. [14] Z.S. Hou and S.T. Jin, A novel data-driven control approach fora class of discrete-time nonlinear systems, IEEE Transactionson Control Systems Technology, 19(6), 2011, 1549–1558.
  15. [15] Z.S. Hou and X.H. Bu, Model free adaptive control withdata dropouts, Expert Systems with Applications, 38(8), 2011,10709–10717.
  16. [16] X.H. Bu, Z.S. Hou, F. Yu, and F. Wang, Robust model freeadaptive control with measurement disturbance, IET ControlTheory & Applications, 6(9), 2012, 1288–1296.
  17. [17] Y. Zhu and Z. Hou, Controller dynamic linearisation-basedmodel-free adaptive control framework for a class of non-linearsystem, IET Control Theory and Applications, 9(7), 2015,1162–1172.
  18. [18] D. Xu, B. Jiang, and P. Shi, A novel model-free adaptive control design for multivariable industrial processes, IEEE Transactions on Industrial Electronics, 61(11), 2014, 6391–6398.
  19. [19] W.L. Yao, Y. Liu, and J.D. Zhang, Ship electrical propulsioncontrol system based on improved model-free adaptive control,The 26th Chinese Control and Decision Conference, Changsha,IEEE, 2014, 1526–1529
  20. [20] C. Lu, Y. Zhao, K. Men, L. Tu, and Y. Han, Wide-area powersystem stabiliser based on model-free adaptive control, IETControl Theory and Applications, 9(13), 2015, 1996–2007.
  21. [21] B.H. Zhou and C.Z. Hou, The model-free direct adaptivegeneralized predictive control approach of permanent magnetlinear motor, Int. Conf. Electrical Machines and Systems,IEEE, Tokyo, Japan, 2009, 1–5.
  22. [22] J. Machowski, J. Bialek, and J. Bumby, Power system dynamics: Stability and control (Chichester, UK: John Wiley &Sons, 2011).
  23. [23] K.E. Yeager and J.R. Willis, Modeling of emergency dieselgenerators in an 800 megawatt nuclear power plant, IEEETransactions on Energy Conversion, 8(3), 1993, 433–441.

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