The optimization of steam temperature control system based on pole assignment

Specific to the defect that when smith-predictor model mismatch, its control quality gets worse, a steam temperature control system model build on state observer that based on pole assignment was designed. The model makes several constant coefficients first-order damp elements approximate controlled object by using pole assignment, the observer output can feedback in advance to the system by PD controller, to overcome the effect of lagging link and uncertainty of the system, and differential effect can eliminate the dynamic deviation of the system. Meanwhile, simulate the optimization model combined with a second-order controlled object which has an integration element. Through the simulation experiment shows that the system has better dynamic performance and control quality build by this method, provides a way to eliminate the influence of lag link in the steam temperature control system.