An LMI Approach to Robust Controller Design for AVR System
This paper develops stability and performance preserving H 2 and H infin controller reduction methods to a PID controller for linear continuous time-invariant single-input, single-output systems. Several cost functions such as the two and infinity norms of the error between complementary sensitivity...
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Published in | 2008 40th Southeastern Symposium on System Theory (SSST) pp. 17 - 24 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.03.2008
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Subjects | |
Online Access | Get full text |
ISBN | 9781424418060 1424418062 |
ISSN | 0094-2898 |
DOI | 10.1109/SSST.2008.4480182 |
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Abstract | This paper develops stability and performance preserving H 2 and H infin controller reduction methods to a PID controller for linear continuous time-invariant single-input, single-output systems. Several cost functions such as the two and infinity norms of the error between complementary sensitivity functions, input sensitivity functions and loop gain functions of nominal closed-loop system and the system using reduced-order controller are considered for the optimization problem. The error between these transfer functions are converted to a frequency weighted error between the Youla parameters of the full-order and reduced-order controllers. Then, the H 2 and H infin norm of this error, subject to a set of linear matrix inequality constraints, is minimized. The main ideas of order reduction to a PID controller and stability preservation are contained in the constraints of the optimization problem. However, since this minimization problem is nonconvex, the Youla parameter of the reduced-order controller is obtained by solving a suboptimal linear matrix inequality problem that is convex and readily solved using existing semi-definite programming solvers. The method is tested for an uncertain model of an AVR system. A robust controller is designed for the AVR system and it is reduced to a low-order controller using the proposed controller order reduction methods. |
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AbstractList | This paper develops stability and performance preserving H 2 and H infin controller reduction methods to a PID controller for linear continuous time-invariant single-input, single-output systems. Several cost functions such as the two and infinity norms of the error between complementary sensitivity functions, input sensitivity functions and loop gain functions of nominal closed-loop system and the system using reduced-order controller are considered for the optimization problem. The error between these transfer functions are converted to a frequency weighted error between the Youla parameters of the full-order and reduced-order controllers. Then, the H 2 and H infin norm of this error, subject to a set of linear matrix inequality constraints, is minimized. The main ideas of order reduction to a PID controller and stability preservation are contained in the constraints of the optimization problem. However, since this minimization problem is nonconvex, the Youla parameter of the reduced-order controller is obtained by solving a suboptimal linear matrix inequality problem that is convex and readily solved using existing semi-definite programming solvers. The method is tested for an uncertain model of an AVR system. A robust controller is designed for the AVR system and it is reduced to a low-order controller using the proposed controller order reduction methods. |
Author | Amirifar, R. Aghaie, Z. |
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Snippet | This paper develops stability and performance preserving H 2 and H infin controller reduction methods to a PID controller for linear continuous time-invariant... |
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StartPage | 17 |
SubjectTerms | Control systems Cost function Error correction Frequency conversion H infinity control Linear matrix inequalities Robust control Stability Three-term control Transfer functions |
Title | An LMI Approach to Robust Controller Design for AVR System |
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