A DESIGN OF ROBUST NONLINEAR CONTROL SYSTEM -APPLICATION TO THE CONTROL OF TEMPERATURE DISTRIBUTION OF PACKED BED REACTOR-

通过测量填充床反应器的出口浓度（20.4mm内径，800 mm长），其产生环氧乙烷作为主要产物，我们确定了反应动力学。反应系统由产生环氧乙烷的主反应和产生二氧化碳的副反应组成。通过测定环氧乙烷和二氧化碳的出口浓度，确定了反应的动力学过程，并根据填充床反应器的物料衡算和热量衡算建立了数学模型。将确定的反应速率纳入数学模型。仿真结果表明，在反应器入口附近出现了热点，动态特性与实验结果基本一致.为了估计反应器内的温度和浓度分布，利用数学模型，设计了基于扩展卡尔曼滤波算法的状态观测器.实验结果表明，证明了所设计的观测器通过仅使用6到8个温度测量而表现良好。此外，即使数学模型涉及一些建模误差，也能正确估计浓度。然后，该观测器可应用于真实的过程。

By measuring outlet concentration of the packed bed reactor (20.4 mm i.d., 800 mm long) which produced ethylene-oxide as a main product, we identified the reaction kinetics. The reaction system consists of a main reaction producing ethylene-oxide and a sub-reaction producing carbon dioxide. The kinetics of these reactions were identified by measuring the outlet concentrations of ethylene-oxide and carbon dioxide.The mathematical model was developed on the bases of the material balance and the heat balance of the packed bed reactor. The identified reaction rates were included into the mathematical model. The simulation results showed that a hot spot appeared near the inlet of the reactor and the dynamic behavior was consistent with the experimental one.In order to estimate the distribution of temperature and concentration in the reactor, a state observer was developed based on the Extended Kalman Filter algorism by use of the mathematical model.From the experiments, it was demonstrated that the designed observer performed well by using only 6 to 8 measurements of temperature. Furthermore, the concentration was estimated correctly even though the mathematical model involved some modeling error. Then this observer may be applied to the real processes.