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Electrodeposition process boundary concentration control based on motion planning and Zakai filtering: Control simulation for unstirred/stirred electrolytes

机译:基于运动计划和Zakai滤波的电沉积过程边界浓度控制:未搅拌/搅拌电解液的控制仿真

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摘要

Electrodeposition process control problem is formulated and solved as a boundary control problem based on unknown parameter model set for a diffusion process controlled by a nonlinear reaction on the boundary. First, the concentration changes in the diffusion layer is feed-forward planned due to the set reference concentration on the cathode boundary and then adapted to a real process according to the certainty equivalent principle based on the measured current densities that compensates for the model uncertainties. In industry, the concentration of species is unobserved except the mass flux on the boundary is measured and controlled as the cathodic current. The diffusivity and apparent transfer coefficient of the deposition reaction are considered as unknown parameters; they are evaluated online along with the concentration on the boundary. The Zakai filtering method is applied for parameters estimation. This article demonstrates through simulation a relatively good convergence of the Zakai estimates to the exact parameters and convergence of the boundary concentration to the set references for tracking.
机译:基于边界参数的非线性反应控制扩散过程的未知参数模型集,将电沉积过程控制问题表述为边界控制问题。首先,由于在阴极边界上设置了参考浓度,因此对扩散层中的浓度变化进行了前馈计划,然后根据确定的等效原理,基于确定的电流密度补偿了模型的不确定性,将其应用于实际过程。在工业中,除了边界上的质量通量被测量并控制为阴极电流以外,没有观察到物种的浓度。沉积反应的扩散率和表观转移系数被认为是未知参数。在线评估它们以及边界上的浓度。 Zakai滤波方法用于参数估计。本文通过仿真演示了Zakai估计相对准确的参数的相对较好的收敛性,以及边界浓度对设置的跟踪参考值的收敛性。

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