scholarly journals Identification in closed-loop operation of models for collective pitch robust controller design

Wind Energy ◽  
2012 ◽  
Vol 16 (3) ◽  
pp. 383-399 ◽  
Author(s):  
M. Iribas-Latour ◽  
I-D. Landau
Author(s):  
H. Porumamilla ◽  
A. G. Kelkar

This paper presents robust controller design for an active automobile suspension system using an interative LQG design technique. The main objective is to design an active feedback control for an automobile suspension system to ensure the ride comfort for passengers in the presence of unknown road disturbances. The control system designed is shown to be robust to uncertainties and parametric variations. The resulting interative LQG-based control design is shown to achieve a significant improvement in the performance, while maintaining a desired level of closed-loop stability that is robust to plant uncertainties and parametric variations. The controller design is also compared to some other active suspension designs published in the literature.


Author(s):  
Jinli Qu ◽  
Ronald N. Miles ◽  
N. Eva Wu

This paper presented an H∞-controller design to achieve active damping for a MEMS microphone system. The parametric uncertainties introduced by linearization process were modeled. The stability and performance of the closed-loop system were analyzed for the uncertain microphone model and both were shown to be robust. The nonlinear simulation further verifies that the controller offers the desired performance.


Algorithms ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 167
Author(s):  
Danica Rosinová ◽  
Mária Hypiusová

Herein, robust pole placement controller design for linear uncertain discrete time dynamic systems is addressed. The adopted approach uses the so called “D regions” where the closed loop system poles are determined to lie. The discrete time pole regions corresponding to the prescribed damping of the resulting closed loop system are studied. The key issue is to determine the appropriate convex approximation to the originally non-convex discrete-time system pole region, so that numerically efficient robust controller design algorithms based on Linear Matrix Inequalities (LMI) can be used. Several alternatives for relatively simple inner approximations and their corresponding LMI descriptions are presented. The developed LMI region for the prescribed damping can be arbitrarily combined with other LMI pole limitations (e.g., stability degree). Simple algorithms to calculate the matrices for LMI representation of the proposed convex pole regions are provided in a concise way. The results and their use in a robust controller design are illustrated on a case study of a laboratory magnetic levitation system.


2014 ◽  
Vol 39 (8) ◽  
pp. 1374-1380
Author(s):  
Bin LIU ◽  
Jiu-Qiang SUN ◽  
Zhi-Qiang ZHAI ◽  
Zhuo LI ◽  
Chang-Hong WANG

Author(s):  
J. Flgueroa ◽  
A. C. Desages ◽  
A. Palazoglu ◽  
J. A. Romagnoli

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