Linear Multivariable Controller Tuning Using Measured Frequency Response Data

  • Yang Zi-Jiang
    Department of Intelligent Systems Engineering College of Engineering, Ibaraki University

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In this paper, we propose a direct tuning method of linear multivariable controllers based on frequency response measurements. Prior to the controller tuning, the plant is stimulated by some appropriate block-pulse excitation signals, and the frequency response measurements are obtained by DFTs of the input-output data. Then a linearly parameterized controller is obtained by minimizing a frequency-shaped model reference control criterion at selected frequency points in the frequency-domain. Compared to some existing time-domain data-based controller tuning methods, the method usually does not need iterative experiments. And the control performance seems to be more transparent, owing to the visualized frequency-domain data. The performance of the proposed method is shown through extensive simulation studies.

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