Adaptive optimization for gold cyanidation leaching process

作者：Zhang Jun^*; Mao Zhizhong; Jia Runda; He Dakuo

来源：Huagong Xuebao/CIESC Journal, 2014, 65(12): 4890-4897.

DOI：10.3969/j.issn.0438-1157.2014.12.033

• Adaptive strategy
• Cyanidation leaching
• Mechanistic modeling
• Model uncertainties
• Real-time optimization

The adaptive real-time optimization (RTO) of gold cyanidation leaching process in a hydrometallurgy plant was investigated. To solve plant-model mismatch, an adaptive real-time optimization strategy based on the modifier adaptation method was proposed, and the real plant data and gradient information were used to correct the original optimization problem iteratively to drive its solution to converge to the optimal set point for the plant. The simulation results showed that in the presence of moderate measurement noise and model uncertainty, the iterates based on the proposed adaptive strategy could converge to the optimal set point for the plant after several iterations and moreover the step of parameter estimation was not necessary, laying an important foundation for the successful implementation of the plant-wide optimization and control for hydrometallurgy process.

• 出版日期2014
• 单位东北大学