【摘要】 采用一种基于鲁棒模型优化方法求解工艺设计与控制集成问题,其核心思想是采用参数不确定状态空间模型描述闭环系统的非线性行为,基于该模型以及二次李雅普诺夫函数可估计系统在外部扰动作用下过程变量变化的最大边界,同时也可测试系统的鲁棒稳定性。该方法避免了求解集成优化问题常用的动态优化方法,可将其转化成一个非线性规划问题。该方法应用于CSTR反应过程的集成优化设计中,结果表明在存在外部扰动时,不仅可以保证过程的经济性能和动态性能,也可保证系统的鲁棒稳定性。更多还原

【Abstract】 The robust modeling-based approach was utilized for the integration of process design and control for chemical processes. The key idea of the presented approach was that the system’s closed-loop dynamic behavior was represented as a nominal linear state space model with uncertain model parameters. Then,the obtained robust model and a quadratic Lyapunov function were used to compute a bound of the worst-case scenario,process stability and process feasibility. The method based on robust modeling avoided the solution of dynamic optimization,which was usually adopted in the integration of process design and control. Finally,the presented method was illustrated and compared to the dynamic optimization-based method by a continuously stirred tank reactor. The results show that the economy and dynamic performances are ensured,as well as the robust stability for the designed process.更多还原