Abstract
Taking three-phase electrode adjusting system of submerged arc furnace as study object which has nonlinear, time-variant, multivariable and strong coupling features, a neural adaptive PSD(proportion, sum and differential) dispersive decoupling controller was developed by combining neural adaptive PSD algorithm with dispersive decoupling network. In this work, the production technology process and control difficulties of submerged arc furnace were simply introduced, the necessity of establishing a neural adaptive PSD dispersive decoupling controller was discussed, the design method and the implementation steps of the controller are expounded in detail, and the block diagram of the controlled system is presented. By comparison with experimental results of the conventional PID controller and the adaptive PSD controller, the decoupling ability, adaptive ability, self-learning ability and robustness of the neural adaptive PSD dispersive decoupling controller have been testified effectively. The controller is applicable to the three-phase electrode adjusting system of submerged arc furnace, and it will play an important role for achieving the power balance of three-phrase electrodes, saving energy and reducing consumption in the process of smelting.
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Foundation item: Project(61174132) supported by the National Natural Science Foundation of China; Project(09JJ6098) supported by the Natural Science Foundation of Hunan Province, China
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He, Jj., Liu, Yq., Yu, Sy. et al. Neural adaptive PSD decoupling controller and its application in three-phase electrode adjusting system of submerged arc furnace. J. Cent. South Univ. 20, 405–412 (2013). https://doi.org/10.1007/s11771-013-1501-3
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DOI: https://doi.org/10.1007/s11771-013-1501-3