Robust pole placement stabilizer design using linear matrix inequalities
نویسندگان
چکیده
منابع مشابه
Robust Pole Placement using Linear Quadratic Regulator Weight Selection Algorithm
The main advantage of pole placement technique is that it places all the poles at desired location using state feedback gain matrix. Using feedback, the poles of the system can be shifted so we can shape the closed loop characteristics of system to meet the design requirement. Even though pole placement method can give the desired characteristic but it does not guarantee a robust system. So con...
متن کاملController Design Using Linear Matrix Inequalities
2.3. H∞ Performance 3. Controller Design Using Linear Matrix Inequalities 3.1. Linearizing Change of Variables – State Feedback 3.2. Linearizing Change of Variables Output Feedback 3.3. LMI Approach to Multiobjective Design 3.4. Existence of Solutions and Conservatism of Design 4. Illustrative Design Example: Robust Control of a Power System Stabilizer 4.1. Problem Description 4.2. Design Speci...
متن کاملFinite Horizon Robust Model Predictive Control Using Linear Matrix Inequalities
In this paper, we develop a finite horizon model predictive control algorithm which is robust to model uncertainties. A moving average system matrix is constructed to capture model uncertainties and facilitate future output predictions. The paper is focused on step tracking control. Using linear matrix inequality techniques, the design is converted into a semi-definite optimization problem. Clo...
متن کاملDecentralized Robust Power System Stabilizer Design
This paper suggests a method for designing PSS to damp multi-machine power system oscillations. The method is based on robust control theory. First, the conventional method for designing robust controller in LMI framework is illustrated. Then, the suggested method is given, in which, a PID output feedback controller is tuned using the LMI approach. Mostly, the classical methods are used t...
متن کاملRobust constrained model predictive control using linear matrix inequalities,
The primary disadvantage of current design techriiques for xriodel predictive control (MPC) is their inability to deal explicitly with plant model uncertainty. In this paper, we present a new approacli for robust MPC synthesis which allows explicit irlcorporation of the description of pla,nt uricertainty in the problem formulation. The uncertainty is expressed both in the time domain and the fr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Power Systems
سال: 2000
ISSN: 0885-8950
DOI: 10.1109/59.852138