Controller Design for Nonlinear fractional Order Systems in the Presence of Input and Output Constraints

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Montazeri, Jalil | 2021

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 54480 (06)
University: Sharif University of Technology
Department: Chemical and Petroleum Engineering
Advisor(s): Shahrokhi, Mohammad
Abstract:
The purpose of this thesis is design of an adaptive tracking control for input-quantized strict-feedback fractional order nonlinear systems with unknown dynamics and asymmetric time-varying output constraints. The controller design is achieved by using a hysteretic quantizer to avoid chattering and not needing the quantization parameters. The fuzzy logic method has been used to solve the problem of unknown dynamics. Also, due to the asymmetric time-varying output constraints, the Barrier Lyapunov function has been used. In this thesis, less restrictive assumptions have been considered than the work performed in previous researches.By utilizing the adaptive backstepping approach and based on the Lyapunov direct method, a controller in the presence of the above restrictions has been designed. It has been shown that all closed-loop signals are bounded. Then the tracking error can be made arbitrarily small by choosing appropriate designed parameters. The effectiveness of the proposed controller has been verified by a numerical example and a chemical engineering application
Keywords:
Fractional Order System ; Adaptive Control ; Input Quantization ; Output Constraint ; Time Varying Constraints ; Asymmetric Output Constraints

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