Approximate Nonlinear Modeling and Feedback Linearization Control for Aeroengines

2011 ◽  
Vol 133 (11) ◽  
Author(s):  
Hui Zhao ◽  
Jinfu Liu ◽  
Daren Yu
Keyword(s):  
Feedback Linearization ◽  
Nonlinear Modeling ◽  
Loop System ◽  
Control Technique ◽  
Input Output ◽  
Close Loop System ◽  
Identification Procedure ◽  
Turbofan Engine ◽  
Engine Simulation ◽  
Feedback Linearization Control

This paper aims to develop an applicable nonlinear control technique for aeroengines. An approximate nonlinear model is presented and a rational identification procedure is given. Exact input-output feedback linearization can be easily performed on this model. The controller derived can approximately linearize the plant such that the close-loop system exhibits linear input-output dynamics locally. Modeling and controlling are exemplified and validated by a small turbofan engine. Simulation results illustrate that the modeling accuracy is good and linear close-loop system dynamics are achieved.

scholarly journals Mathematical Formulation of Feedback Linearizing Control of Doubly Fed Induction Generator Including Magnetic Saturation Effects

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Julia Tholath Jose ◽  
Adhir Baran Chattopadhyay
Keyword(s):  
Feedback Linearization ◽  
Control Algorithm ◽  
Mathematical Formulation ◽  
Control Technique ◽  
Induction Generator ◽  
Magnetic Saturation ◽  
Doubly Fed Induction Generator ◽  
State Variables ◽  
Feedback Linearization Control ◽  
Doubly Fed

This paper proposes a control methodology based on feedback linearization for a doubly fed induction generator (DFIG) incorporating the magnetic saturation. The feedback linearization algebraically converts a nonlinear system model into a linear model, allowing the use of linear control techniques. Feedback linearization control depends on the model of the system and is therefore sensitive to parameter variations. The doubly fed induction generator (DFIG) operating under the magnetic saturation conditions results in the nonlinear variation of magnetizing inductance, which affects the performance of the control algorithm. From this stand point, on the basis of the dynamic model of the doubly fed induction generator considering magnetic saturation, the feedback linearizing control technique has been formulated. The mathematical model of the doubly fed induction generator, integrating the magnetic saturation has been formulated in the stator flux-oriented reference frame with rotor current and stator magnetizing current as state variables. Simulation studies demonstrate that the inclusion of magnetic saturation in the feedback linearization control of the doubly fed induction generator model increases its accuracy and results in a more efficient and reliable synthesis of the control algorithm.

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