Expert optimized control technique for electrolytic deposition process of hydrometallurgy of zinc

Based on expert experience model and mathematical model, optimal ratio of H+/Zn2+ and temperature of electrolyte were searched out according to a way of expert self-learning optimization, and optimal flowing velocity of purified solution was computed by means of analytic relations. The flowing velocity of purified solution, the liquid level of the ground trough and the status of cooling fans were controlled on line to keep the process in optimal production conditions. 0.5 % more current efficiency and 1 million kWh less power consumption a year have been attained since running of the expert optimized control system. The system constitution, expert optimized techniques, real-time techniques and system implementation were introduced.