tailieunhanh - Lecture Chemical process control - Chapter 20

a | Chapter 20 Model Predictive Control Model Predictive Control MPC -regulatory controls that use an explicit dynamic model of the response of process variables to changes in manipulated variables to calculate control moves . Control moves are intended to force the process variables to follow a pre-specified trajectory from the current operating point to the target. Base control action on current measurements and future predictions. 1 Figure Two processes exhibiting unusual dynamic behavior. a change in base level due to a step change in feed rate to a distillation column. b steam temperature change due to switching on soot blower in a boiler. 2 DMC - dynamic matrix control became MPC - model predictive control Optimal controller is based on minimizing error from set point Basic version uses linear model but there are many possible models Corrections for unmeasured disturbances model errors are included Single step and multi-step versions Treats multivariable control feedforward control