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An LMI Approach to Robust Controller Design for AVR System

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2 Author(s)
Z. Aghaie ; Electrical Engineering Department, Tarbiat Modares University, Tehran, Iran, e-mail: ; R. Amirifar

This paper develops stability and performance preserving H2 and Hinfin 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 H2 and Hinfin 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.

Published in:

2008 40th Southeastern Symposium on System Theory (SSST)

Date of Conference:

16-18 March 2008