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 different...
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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.
This paper describes our experience with global lens optimization using algorithms that can modify an existing lens construction in an optimal way or create an entirely new construction. The binary-search method assem...
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ISBN:
(纸本)9780819492036
This paper describes our experience with global lens optimization using algorithms that can modify an existing lens construction in an optimal way or create an entirely new construction. The binary-search method assembles lens elements according to the bits in a binary number, ensuring that all combinations of power are tested, while the saddle-point method can either add elements to a starting lens or start from scratch. The latter algorithm also naturally leads to a method of removing an element in an optimum way, which can sometimes simplify a lens with no loss of quality.
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