Optimizing Waste Fuel Boiler Control withMultivariable Predictive Control

摘要

Multivariable Predictive Control, MPC, has been used in the continuous process industry for more thanrna decade. This strategy relies on a model created with test data from the process. The modelingrnproduces a matrix of relationships between the “manipulated variables” and the “control variables” andrn“constraint variables”rnThe MPC supervisory control software supplies the DCS, PLC or other regulatory controller with thernsetpoints for the manipulated variables that will result in the desired control variables and constraintrnlimits. The equations are solved simultaneously on a frequent intervals to provide very tight control ofrnthe control variables and constraint limits.rnThe technique can be applied to many pulp and paper applications including the waste fuel boilers thatrnare an important part of the energy balance at today’s mills. Significant improvements in efficiencyrnhave been achieved adjusting the fuel and air flow to the boilers and minimizing the excess O2 .