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Support-vector-machine-based inverse internal model controller for electric arc furnace
基于支持向量机的电弧炉逆内模控制器

Keywords: approximate model,decoupling,internal-model,electric arc furnace
近似模型
,解耦,内模,电弧炉

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Abstract:

To deal with the coupling in the electrical controller for a three-phase arc furnace, we present a supportvector-machine approximation-based internal-model control strategy. From the Taylor-approximation model of a general electric arc furnace, we directly derive the inverse control law for eliminating the coupling in the electrical controller for the three-phase arc furnace. This avoids a large amount work in computation required in the online identification of the inverse model. In addition, a nonlinear compensation is introduced to the internal-mode configuration to ensure the system robustness in case of parameter variation and external disturbances. The stability and robustness are established by using the Lyapunov method. The proposed nonlinear controller is verified by computer simulations.

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