| The rapidly increasing development of the economy of our country has resulted in increasing demand for energy. Because of the relative lack of energy and the overall energy efficiency is not high, resulting in energy and environmental issues have become increasingly prominent. Compared with the conventional steam cycle, the structure of the Organic Rankine Cycle (ORC) is simple and the efficient is high. The waste heat utilization technology based on the Organic Rankine cycle is of great significance for improving energy efficiency, reducing costs and industrial emissions. In recent years, it has received extensive attention.The waste heat utilization system based on Organic Rankine Cycle has two operation modes:tracking electricity load mode and deep waste heat utilization mode. For these two kinds of operation mode, using Aspen and Matlab software to establish the dynamic model of the low temperature waste heat utilization system. Describing the system dynamics and control objectives of the waste heat utilization system in the two operating mode, analyzing their dynamic characteristics, establishing their dynamic characteristic charts. And on this basis, using recursive least squares method for model identification, and comparing the output curve of the identification model with the original mode output curve.Aiming at the features (multivariate, nonlinearity and high degree of coupling for instance) of the system, a multivariable predictive control system for the two operational modes of the waste heat utilization system is designed based on the identification model. The simulation results indicate that this control system has a strong traceability for set points and an excellent capacity of resisting disturbance. |
PDF Full Text Request