How Can Robust Control of Nonlinear Systems be Achieved? Examining Optimization Techniques

Idioma: inglés

Editorial: GRIN Verlag Nov 2019, 2019

3346038661 / 9783346038661

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This item is printed on demand - Print on Demand Titel. Neuware -Doctoral Thesis / Dissertation from the year 2019 in the subject Engineering - General, Basics, grade: A.00, , language: English, abstract: The following text examines the questions, how nonlinear system can better be controlled by new optimisation techniques such as feedback linearization.Due to the inevitable nonlinearities in real systems, several nonlinear control methods like feedback linearization, sliding mode control, backstepping approach and further modes are described in detail in the literature. Due to limitations in application of well known classical methods, researchers have struggled for decades to realize robust and practical solutions for nonlinear systems by proposing different approaches or improving classical control methods.The feedback linearization approach is a control method which employs feedback to stabilize systems containing nonlinearities. In order to accomplish this, it assumes perfect knowledge of the system model to linearize the input-output relationship. In the absence of perfect system knowledge, modelling errors inevitably affect the performanceof the feedback controller. Many researchers have come up with a new form of feedback linearization, called robust feedback. This method gives a linearizing control law that transforms the nonlinear system into its linear approximation around an operating point. Thus, it causes only a small transformation in the natural behavior of the system, which is desired in order to obtain robustness.The controllers are required to provide various time domain and frequency domain performances while maintaining sufficient stability robustness. In this regard, the evolutionary optimization techniques provide better option as these are probabilistic search procedures and facilitate inclusion of wide variety of time and frequency domain performance functionals in the objective functions. A significant scope of work remains to be done which provides motivation for the research in the design of robust controllers using evolutionary optimization. Also, emerging techniques using LMI also find potential in controller design for feedback linearized systems.The thrust of the study here is to design robust controllers for nonlinear systems using Evolutionary optimization and LMI. Furthermore, latest control methods for nonlinear system have been studied, deeply, in this thesis. Combining feedback linearization with non linear disturbance observer based control (NDOBC) obtains promising disturbance rejection and reference tracking performance as compared to other robust control methods.GRIN Publishing GmbH, Waltherstraße 23, 80337 München 176 pp. Englisch.…

N° de ref. del artículo 9783346038661

Título
How Can Robust Control of Nonlinear Systems be Achieved? Examining Optimization Techniques
Autor
Bhawna Tandon
Editorial
GRIN Verlag Nov 2019
Año de publicación
2019
Estado
Neu
Encuadernación
Taschenbuch
Idioma
inglés
ISBN 10
3346038661
ISBN 13
9783346038661
Peso del artículo
264 gramos
Dimensiones
210x148x13 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Alemania

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