Robust LQ optimal controller designing for refining process

Presents a synthetic design procedure of robust LQ optimal controllers for the refining process, including modeling and robust optimal system design. The paper discusses three major topics: mathematical modeling of the process with large uncertainty, determination of a synthetic performance index for optimizing the process, and design of the robust optimal control system with robust guaranteed stability. This research is a part of preliminary results of a real refining process optimal control system implemented in Minfeng Paper Mill, Zhejiang Province. Simulation test results show that the proposed modeling and control algorithms are efficient and practicable