Nonlinear control of electrolysis velocity based on stair-like and fuzzy model

Nonlinear predictive control is widely applicable to models, of which stair-like controlling enables the operating to be simplified and performance enhanced. To achieve shorter time and higher precision in the multi-section electrolysis system, the discrete machining times and the section are decomposed based on the stair-like controlling theory. Hence the factors are simulated to test the effect on velocity. Because the velocity varies nonlinearly during the machining process, fuzzy control is adopted. The experiment shows that the velocity is accurate referring to the given factors and the design task is fulfilled perfectly.