文献类型：期刊文献

中文题名：化学反应器的神经元自适应观测和非线性控制

英文题名：ADAPTIVE OBSERVER AND NONLINEAR CONTROL STRATEGY FOR CHEMICAL REACTORS VIA NEURAL NETWORKS

作者：胡泽新[1];鲁习文[2];闵华清[3]

机构：[1]华东理工大学自动化研究所,上海200237;[2]华东理工大学数学系,上海200237;[3]武汉化工学院自动化系,武汉430073

年份：1995

卷号：46

期号：2

起止页码：144

中文期刊名：化工学报

外文期刊名：CIESC Journal

收录：CSTPCD;;EI(收录号：1995532888557);Scopus;北大核心:【北大核心1992】；CSCD:【CSCD2011_2012】；

基金：国家自然科学基金资助重点项目

语种：中文

中文关键词：化学反应器;非线性控制;神经网络

外文关键词：chemical reactor, exothermic reaction, nonlinear system, estimation of concen-tration, parameter identification, adaptive observation, nonlinear control, neural network

摘要：提出了一种基于神经网络的自适应观测和非线性控制策略,证明了自适应观测器的收敛件和非线性控制系统的稳定性,将其用于连续搅拌釜式放热反应器的浓度控制。根据可在线测量的反应温度,在线估计不可在线测量的反应物浓度和辨识Arrhenius指前因子,并利用重构的状态信息设计出带约束的非线性控制策略。仿真结果表明,观测器/控制器的组合提供了满意的闭环特性,证实了本文方法的有效性。
An adaptive observer and nonlinear feedback control strategy with constraints on control action are developed by using supervisor learning rule of adaptive neuron and the theory of functional -link networks. The convergence of adaptive observer and the stability of control system are proven. They are applied to the control of an exothermic stirred -tank reactor. It is shown that an adaptive observer for concentration can be constructed for a reaction system when only temperature measurements are on line available. An adaptive observer is used to identify the pre- exponential Arrhenius constant and to provide on- line estimation of the unmeasured reactant concentration for a nonlinear state - feedback controller. Simulations show that the combined observer/controller provides satisfactory closed - loop behavior, fast responses and strong robustness. Estimated and actual concentration are in good agreement. Nonlinear feedback controller can provide effective feedback control over a wide range of operating conditions.