Autors: Yordanova, S. T., Sivchev Y.
Title: Design and Tuning of Parallel Distributed Compensation-based Fuzzy Logic Controller for Temperature
Keywords: Fuzzy Logic Supervisor, Genetic Algorithms, Process Parallel Distributed Compensation, Temperature Real Time Control, TSK Models

Abstract: The parallel distributed compensation (PDC) gains popularity in designing of simple fuzzy logic controllers (FLCs) for nonlinear plants taking advantage of the well-developed linear control theory. The established design approaches suffer difficulties in derivation of standard TSK plant models for processes characterized by time delays, model uncertainties, nonlinearities, inertia, etc., needed for the PDC design. The standard PDC structure is also unfit for parameter optimization and embedding in programmable logic controllers which ensures a broad industrial application. The aim of the investigation is to develop an approach for the design and tuning of a modified process PI PDC-FLC and an on-line fuzzy logic supervisor via off-line GA optimization techniques in order to ensure closed loop stability, robustness, desired performance and energy efficiency. The approach is developed on the example of air temperature control in a laboratory dryer using MATLAB.

References

    Issue

    Journal of Automation and Control, vol. 2, issue 3, pp. 79-85, 2014, United Kingdom,

    Цитирания (Citation/s):
    1. Ganesh E.N., Bettyjane J.,Simulation and synthesis of TS fuzzy system using parallel distribution compensation technique. Int. J. Inf. Tecnol. 12, pp. 1443–1449,. https://doi.org/10.1007/s41870-020-00456-2 - 2020 - в издания, индексирани в Scopus или Web of Science
    2. L. H. Lan, N. Van Tiem and C. N. Van, Absolute Stability for a Class of Takagi-Sugeno Fuzzy Control Systems, 3rd Int. Conf. on Robotics, Control and Automation Engineering (RCAE), Chongqing, China, pp. 47-51, IEEE, DOI: 10.1109/RCAE51546.2020.9294352, Electronic ISBN:978-1-7281-8638-2 - 2020 - в издания, индексирани в Scopus или Web of Science
    3. L. H. Lan, P. Van Lam and N. Van Hai, An Approach to the Analysis and Design of Fuzzy Control System, 2020 3rd Int.Conf. on Robotics, Control and Automation Engineering (RCAE), Chongqing, China, 2020, pp. 36-40, IEEE, DOI: 10.1109/RCAE51546.2020.9294179 - 2020 - в издания, индексирани в Scopus или Web of Science
    4. V. Karlova-Sergieva and D. Stoitseva-Delicheva, "Design of Temperature Control System using Quantitative Feedback Theory," 2020 Int. Conf. Automatics and Informatics (ICAI), IEEE, Varna, Bulgaria, 2020, pp. 1-5, DOI: 10.1109/ICAI50593.2020.9311379 - 2020 - в издания, индексирани в Scopus или Web of Science
    5. Ujjwal Manikya Nath; Chanchal Dey; Rajani K. Mudi, Fuzzy rule-based auto-tuned internal model controller for real-time experimentation on temperature and level processes, Int. Journal of Automation and Control (IJAAC) 14(2), pp. 239-255 - 2020 - в издания, индексирани в Scopus или Web of Science
    6. Khan M, Siddiqui AS, Mahmoud ASA (2018) Robust H control of Magnetic Levitation system based on Parallel Distributed Compensator. Ain Shams Engineering Journal 9(4), pp.1119-1129,http://dx.doi.org/10.1016/j.asej.2016.06.005 - 2018 - в издания, индексирани в Scopus или Web of Science
    7. Mahmoud ASA, Khan M., Siddique AS (2016) Robust H inf State Feedback Controller for Discrete Time Takagi-Sugeno Systems. J. of Electrical Eng. 4: 467-473 - 2016 - в издания, индексирани в Scopus или Web of Science
    8. Pădureanu I, Jurcu M, Campian C V, Haţiegan C (2017) Determination of the performance of the Kaplan hydraulic turbines through simplified procedure. Int. Conf. on Applied Sciences (ICAS2017), IOP Conf. Series: Materials Science and Engineering 294 (2017) 012027 doi:10.1088/1757-899X/294/1/012027 - 2017 - в издания, индексирани в Scopus или Web of Science
    9. D. Stoitseva-Delicheva, "Energy Efficient Temperature Control," IEEE 2021 6th International Symposium on Environment-Friendly Energies and Applications (EFEA), 24-26 March, Sofia, Bulgaria, 2021, pp. 1-4, DOI: 10.1109/EFEA49713.2021.9406218. ISBN:978-1-7281-7011-4 - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в реферирано издание, индексирана в Google Scholar