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化工过程工艺与控制系统的集成设计研究越来越受到国内外工艺设计和过程控制领域研究人员的重视,与传统的分步序贯设计相比,集成设计可获得经济性能和动态性能更优的化工过程。考虑到工业过程中广泛采用先进控制与常规控制分层递阶控制结构,提出了一种基于鲁棒模型和分层递阶控制策略的过程工艺与控制系统集成设计方法。其核心思想是将设计对象和常规控制器构成广义对象,通过辨识得到先进控制与广义对象组成的闭环过程状态空间不确定模型,基于该模型以及二次李雅普诺夫函数可估计所设计工艺过程在外部扰动作用下的最坏情况。该方法将集成设计问题转化成一个非线性规划问题,避免了求解集成优化问题常用的动态优化方法,并最终得到经济性能和动态性能良好的工艺设计参数与控制器参数。案例研究证明了方法的可行性。
The integrated design of chemical process technology and control system is paid more and more attention by researchers at home and abroad in the field of process design and process control. Compared with the traditional sequential design, integrated design can obtain better economic and dynamic performance Chemical process. Considering that the hierarchical control structure of advanced control and conventional control is widely used in industrial process, an integrated design method of process technology and control system based on robust model and hierarchical control strategy is proposed. The core idea is that the design object and the conventional controller form a generalized object. By identifying the closed-loop process state space uncertainty model consisting of advanced control and generalized objects, the model process and the quadratic Lyapunov function can be used to estimate the design process The worst case under external disturbances. The method transforms the integrated design problem into a nonlinear programming problem, avoids the commonly used dynamic optimization methods for solving the integration optimization problem, and finally obtains the process design parameters and the controller parameters with good economic performance and dynamic performance. Case studies demonstrate the feasibility of the method.