Design of Type 2- interval fuzzy PID controller for CSTR
Автор: Tejas D. Gangurde, Vrushali P. Mahajan
Журнал: International Journal of Image, Graphics and Signal Processing @ijigsp
Статья в выпуске: 10 vol.11, 2019 года.
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This paper proposes Type 2- Interval Fuzzy Proportional–Integral–Derivative (T2IFPID) controller for a non-linear system. Type 2- Interval fuzzy logic controller (T2IFLC) is self-possessed in such a way that it is an autonomous process. To decipher the influence, the impression of uncertainty on the controller execution to two different types of curves are outlined i.e. aggressive control curve and smoother control curve. Popov-Lyapunov approach is used to define the stability of the framework.
Type 2- Interval Fuzzy, PID, CSTR
Короткий адрес: https://sciup.org/15016088
IDR: 15016088 | DOI: 10.5815/ijigsp.2019.10.04
Список литературы Design of Type 2- interval fuzzy PID controller for CSTR
- KJ Åström, T Hägglund, The future of PID control, Control Engg. Practice 9 (11) (2001) 1163–1175.
- KJ Åström, T Hägglund, PID controllers: Theory, Design and Tuning, Instrument Soc. of America, Research Triangle Park, NC, 1995.
- G. Mann, Bao-Gang Hu, R. Gosine, “Analysis of direct action fuzzy PID controller structures,” IEEE Trans. on Syst., vol. 29, no. 3, pp. 371-388, Jun.1999.
- D. Wu, “On the fundamental differences between interval type-2 and type-1 fuzzy logic controllers,” IEEE Trans. on Fuzzy Syst., vol. 20, no. 5, pp. 832-848, Oct. 2012.
- O. Castillo, R. Martinez-Marroquin, P. Melin, F. Valdez, J. Soria, “Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot,” Info Sciences, vol. 192, pp. 19-38, June 2012.
- X. Du and H. Ying, “Derivation and analysis of the analytical structures of the interval type-2 fuzzy-PI and PD controllers,” IEEE Trans. on Fuzzy Syst., vol. 18, no. 4, pp. 802-814, Aug. 2010.
- M. Nie and W. Tan, “Analytical structure and characteristics of symmetric Karnik-Mendel type-reduced interval type-2 fuzzy PI and PD controllers.” IEEE Trans. on Fuzzy Syst., vol. 20, no. 3, pp. 416-430, June 2012.
- H. Zhou and H. Ying, “A method for deriving the analytical structure of a broad class of typical interval type-2 mamdani fuzzy systems,” IEEE Trans. on Fuzzy Syst., vol. 21, no. 3, pp. 447-458, June 2013.
- M. Biglarbegian, W. Melek and J. Mendel, “On the stability of interval type-2 TSK fuzzy logic control systems,” IEEE Trans. on Fuzzy Syst., vol. 40, no. 3, pp. 798-818, June 2010.
- H. Lam and L. Seneviratne, “Stability analysis of interval type-2 fuzzy-model-based-control systems,” IEEE Trans. on Syst., Man, and Cybernetics, Part B (Cybernetics), vol. 38, no. 3, pp. 617-628, June 2008.
- T. Kumbasar, “A simple design method of interval type-2 fuzzy PID controllers,” Soft Comput., vol. 18, no. 7, pp. 1293-1304, 2014.
- T. Marlin, “Process control designing processes and control systems for dynamic performance,” ch. 9, pp. 279-281.
- T. Kumbasar, “Robust stability analysis of PD type single input interval type-2 fuzzy control systems,” Int. Conf. on Fuzzy Systems, July 2014.
