CAJ | 학술논문

以某湿法冶炼厂金氰化浸出过程为背景，研究了浸出过程的自适应实时优化问题。针对实际过程中的模型失配问题，提出了一种金氰化浸出过程的修正项自适应实时优化策略，利用实际过程测量值及梯度信息不断修正原优化问题，使其迭代收敛到实际过程的最优设定点。仿真结果表明在过程输出存在适量的测量噪声时，对于模型参数不确定性、结构不确定性以及工况改变3种情况，该方法经过数次的迭代最终都能够收敛到实际过程的最优设定点附近，节约了生产成本，而且不需要模型更新步骤，这为湿法冶金全流程优化控制的顺利实施奠定了重要基础。
이모습법야련엄금청화침출과정위배경，연구료침출과정적자괄응실시우화문제。침대실제과정중적모형실배문제，제출료일충금청화침출과정적수정항자괄응실시우화책략，이용실제과정측량치급제도신식불단수정원우화문제，사기질대수렴도실제과정적최우설정점。방진결과표명재과정수출존재괄량적측량조성시，대우모형삼수불학정성、결구불학정성이급공황개변3충정황，해방법경과수차적질대최종도능구수렴도실제과정적최우설정점부근，절약료생산성본，이차불수요모형경신보취，저위습법야금전류정우화공제적순리실시전정료중요기출。
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.