Details

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


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


1. Auflage

von: Bhawna Tandon

39,99 €

Verlag: Grin Verlag
Format: PDF
Veröffentl.: 18.10.2019
ISBN/EAN: 9783346038654
Sprache: englisch
Anzahl Seiten: 170

Dieses eBook erhalten Sie ohne Kopierschutz.

Beschreibungen

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.

Diese Produkte könnten Sie auch interessieren:

Analytical Dynamics
Analytical Dynamics
von: Mark D. Ardema
PDF ebook
213,99 €
Multiscale Finite Element Methods
Multiscale Finite Element Methods
von: Yalchin Efendiev, Thomas Y. Hou
PDF ebook
53,54 €
Millimeter-Wave Integrated Circuits
Millimeter-Wave Integrated Circuits
von: Eoin Carey, Sverre Lidholm
PDF ebook
149,79 €