Application of Adaptive Fuzzy Logic Systems in Controller Design of Nonlinear Processes

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Askari, Mohammad Reza | 2015

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 47533 (06)
University: Sharif University of Technology
Department: Chemical and Petroleum Engineering
Advisor(s): Shahrokhi, Mohammad
Abstract:
Most of dynamical models in the real world, have various restrictions and complexities in their structures. These constraints make the controller design much more difficult. In this work, it has been tried to design the controller for two kinds of common dynamical systems in the presence of these restriction by using the fuzzy logic systems. Several restrictions are investigated in this project such as unknown dynamic of the model, unmeasured state variables, unknown control directions, existence of time delay in the input and the state variables, input saturation and controller singularity.The backstepping technique and the dynamic surfaces control approach have been used to design the adaptive fuzzy controller. In order to estimate the state variables, three kinds of observers such as High-gain observer, Luenberger-like observer and K-filter observer have been used. Stability of the closed loop system has been proved by using of the Lyaponuv theorem. To show the performance of the proposed control approach, simulation results for several case studies have been presented
Keywords:
Nussbaum Function ; Time Delay ; Input Saturation ; Fuzzy Approximation ; Observer Design ; controller Singularity