The Research and Application of Nonlinear Predictive Functional Control Based on Characteristic Models

摘要

By combining dynamical feature of objects with requirements of control performance, predictive model uses a second order slow time varying linear model to characterize original controlled station. This paper introduces a way to establish a category of predictive models of nonlinear objects and lead this kind of model into predictive functional control (PFC) so then obtain nonlinear PFC arithmetic based on characteristic model. We successfully avoid the problem of online identification of slow time varying parameters by setting parameter interval, thereby this kind of control arithmetic is typical of easy operation, high speed and wide applicability in comparison with traditional PFC. Finally this paper offers applied living examples by considering temperature control problem of continuous stirring tank reactor (CSTR).