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Design weighting parameter tuning of multivariable self-tuning controllers |
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| Authors: | Won Chul In Soo Kyung Youn |
| Affiliation: | a Department of Computer-Applied Electronics, Kyongdo Provincial College, 947-1, Chungbuk-ri, Yecheon-eub, Yecheon-kun, Kyungsangpook-Do 757-800, South Korea b Department of Electronics and Electrical Engineering, Sangju National University, 386, Gajang-Dong, Sangju-City, Kyungsangpook-Do 742-711, South Korea c Department of Electronics Engineering, Cheju National University, 1, Ara-1Dong, Cheju City 690-756, South Korea |
| Abstract: | In this paper, we present the method for on-line tuning of a design weighting polynomial parameters of a multivariable self-tuning controller which adapts to changes in the higher-order nonminimum phase system parameters with time delays and noises. The algorithm effect is achieved through the recursive least square algorithm at the parameter estimation stage and also through the Robbins–Monro algorithm at the stage of optimizing the design weighting polynomial parameters of the controller. The proposed method is simple and effective compared with the pole restriction method. The computer simulation results are presented to adapt the higher-order multivariable system with nonminimum phase and with changeable system parameters. |
| Keywords: | Design weighting polynomial parameters Multivariable self-tuning controller Robbins–Monro algorithm Higher-order nonminimum phase system Pole restriction |
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