Study of multivariable predictive functional control for reheats temperature system

Reheats temperature system control directly influences the economical efficiency of power plant. For reheats temperature process with steam-steam exchanger, dealing with the coupling and time delay characteristics of object is a critical problem. Based on the SISO predictive functional control for first order plant with large delay, a multivariable algorithm is proposed. With the single value prediction, the multivariable control equation is optimized from performance function of all output sums, where the MIMO plant is described by first order model with delay. Delay compensation is also inserted by using Smith prediction. The simulations of reheat temperature demonstrate the effectiveness of the algorithm.