Autors: Yordanova, S. T., Yankov, V. G.
Title: Design and Stability Analysis of Supervisor-based Adaptive Fuzzy Logic Control System for Temperature
Keywords: Fuzzy Logic Supervisor, Genetic Algorithms, Lyapunov Stabili

Abstract: The application of fuzzy logic (FL) supervisors (FLS) for on-line nonlinear auto-tuning of the basic FL controllers (FLCs) gains popularity as a simple adaptive technique for improvement of the performance of control systems for plants with nonlinearities, inertia, time-delay, model uncertainty and variable parameters. Various approaches for the FLS design are developed for different types of FLCs and performance measures considered. However, structure simplification techniques and closed loop system stability analysis are needed to promote the FLC -FLS industrial applications which constitute the aim of the present work. A parallel distributed compensation (PDC) equivalent in operation to the FLC-FLS is suggested that consists of a Sugeno model for fuzzy blending of the outputs of several linear PID controllers depending on the operation point. The PID parameters are optimized using genetic algorithms, simulations, experimental data and random inputs.

References

    Issue

    International Journal of IT, Engineering and Applied Sciences Research (IJIEASR), vol. 4, issue 4, pp. 20-29, 2015, India, ISBN ISSN: 2319-4413

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    Цитирания (Citation/s):
    1. Nurbaiti Wahid; Hairi Zamzuri; Noor H. Amer; Abdurahman Dwijotomo; Sarah Atifah Saruchi; Saiful Amri Mazlan, Vehicle collision avoidance motion planning strategy using artificial potential field with adaptive multi-speed scheduler, IET Intelligent Transport Systems, 14(10), pp. 1200 –1209, DOI: 10.1049/iet-its.2020.0048 - 2020 - в издания, индексирани в Scopus или Web of Science

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