Study On Process Modeling And Control Simulation Of Tubular Catalytic Reaction Distribution Parameter

The tubular reactors which have large volume and high internal working temperature always work in complex conditions. Thus the traditional control method based on lumped parameter model can not meet the high precision temperature control requirements of modern industrial. It is crucial that how to realize precise control of catalytic reaction temperature to satisfy the requirement of catalytic reactor based on the distributed parameter system model.PDE equation of the catalytic rod tube type catalytic reaction process is first presented in the thesis. For the infinite dimensional essential characteristics of distributed parameter system, the separation method of time and space is studied based on data driving. Principal Component Analysis (PCA) method is utilized to extract the basis functions in dominant space, and the time-space decomposition is carried out in terms of these basis functions to obtain the outputs in time domain. Then, a temporal auto-regressive exogenous (ARX) model with the external input is identified by using the temporal coefficients obtained from the decomposition along with the excitation input signal, and then the multivariable generalized predictive control (GPC) strategy is designed to achieve the effective control of temperature. In consideration of design complexity in the multi variable generalized predictive control, the coupling ARX model is further simplified, in which MIMO ARX model is decoupled into multiple SISO ARX model. According to the decoupled model, single variable generalized predictive controller is designed, and more accurate temperature control precision is reached with simplifier controller structure than multi-variable GPC.The simulation results show that, more than 3 principal components of the PCA dimension reduction method can obtain more than 99% energy of the weakly nonlinear distributed parameter system. At the same time, the generalized predictive controllers based on both coupling ARX model and decoupled ARX model can realize the temperature control. The GPC based on multiple SISO decoupled model can obtain better the control precision with more simplification of the control design.