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A mixed sensitivity optimization design for a benchmark control problem

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1 Author(s)
Jiann-Shiou Yang ; Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Duluth, MN, USA

This paper explores a numerical approach of a mixed H2 sensitivity optimization technique to re-design a robust controller for the Grumman F-14 aircraft, one of the IEEE Control Systems Society's benchmark control problems. By operating in the Discrete Fourier Transform (DFT) domain, we convert the H2 control problem into a constrained vector minimization problem in the l2-space. A two-stage solution approach is detailed and the controller is then constructed. The advantage of using the proposed method is that the l2-space solution can be analytically expressed and efficiently calculated via existing multichannel algorithms due to the partially block circular structure of the matrices involved in the DFT domain. The approximation can be made arbitrarily close to the original H2 control problem if the number of the DFT points is large. The simulation results are presented to demonstrate the proposed method.

Published in:

Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on

Date of Conference:

15-17 June 2010