A New Method for Integrated Controller and Observer Design of a Nonlinear System Using Genetic Programming

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Khosroabadi, Saleh | 2016

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 48595 (45)
University: Sharif University of Technology
Department: Aerospace Engineering
Advisor(s): Nobahari, Hadi
Abstract:
The purpose of this paper is to design an integrated controller and observer (ICO) for a nonlinear system using genetic programming. ICO is a function that constructs control command directly from the measured state variables of the system. It means that, this function should imitate the behavior of the observer and controller and control the system with acceptable performance in different initial conditions, at the presence of disturbances and system uncertainties. The complexity of this design method, is not related to the complexity of the plant, in fact, the complexity in plant just effects at run time, but the design procedure does not change. So, if exact model of plant exist, using this method will be rational. The benchmark for proofing the paper idea is rotational/translational proof-mass actuator (RTAC). RTAC is a nonlinear control design problem involving the nonlinear interaction of a translational oscillator and an eccentric rotational proof mass. After producing the ICO, its performance has been compared with other methods that do the same, and sensitivity of ICO has been checked with respect to changing initial conditions and uncertainties
Keywords:
Nonlinear System ; Genetic Programming ; Evolutionary Algorithm ; Observer ; Controller Design ; Integrated Design ; Galaxy Lensing

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