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Optimal control strategy for chemical processes
based on soft-sensoring technique |
| YE Ling-jian, MA Xiu-shui |
School of Information Science and Engineering, Ningbo Institute of Technology, Zhejiang
University, Ningbo 315100, China |
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Abstract A new optimal control strategy was proposed based on soft-sensoring technique for parametricuncertain systems. By solving optimization problems for continuous processes, online optimal control was achieved by tracking necessary conditions of optimality (NCO). Soft-sensoring technique was introduced to model the relationships between the measurements and unmeasured NCO. Then the outputs of the soft-sensoring models were used as the controlled variables to directly achieve optimality. New strategy is faster and more effective compared with traditional real-time optimization (RTO). The method can be realized by using simple controllers (e.g. PID). An evaporator example was analyzed to illustrate the effectiveness of the strategy．
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Published: 01 July 2013
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基于软测量技术的化工过程优化控制策略
针对参数不确定型系统,提出基于软测量技术的新优化控制思路.通过求解连续静态过程的优化模型,实时跟踪一阶最优性必要条件实现不确定系统的在线优化.借助软测量技术找到可测变量与不可测最优性必要条件之间的估计模型,以该模型的输出为被控变量直接实现过程的优化控制.与传统的实时优化(RTO)方法相比,新策略更加迅速有效,可用简单的控制器（如PID）实现.对一个蒸发过程的研究结果表明了该方法的有效性.
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