Circulating Fluidized Bed Coal-Saving Optimization Control Method - Intelligent Computing for Sustainable Energy and Environment - page 310

Fig. 5. Control inputs and system output of constrained DMC
similar to that of the constrained DMC. However, as the RTO/DMC controller
online optimizes the operation point within an allowed zone according to the
coal-saving goal, the controlled variable eventually stabilize within the allowable
range of a given operating point of a constant value and the amount of coal
feeding is less than that of constrained DMC.
In order to investigate the RTO/DMC coal-saving result further, random dis-
turbance is added to the output of the system. Repeat the test for five times,
the statistics amount of coal is given in Table 1. Table 1 tells us that compared
to the constrained DMC controller, RTO/DMC controller can save more than
7% of coal consumption, which is significant coal-saving.
Fig. 6. Control inputs and system output of RTO/DMC