A systematic procedure is proposed to handle the standard process control problem. The considered standard problem involves infrequent step disturbances to processes with large delays and measurement noise. The process is modeled as an ARX model and extended with a suitable noise model in order to reject unmeasured step disturbances and unavoidable model errors. This controller is illustrated to perform well for both set point tracking and a disturbance rejection for a SISO process example of a furnace which has a time delay which is significantly longer than the dominating time constant.
Computer-aided Chemical Engineering, 2011, p. 442-446
Time delay systems; Model Predictive Control; Autoregressive models
Main Research Area:
Computer - Aided Chemical Engineering
21st European Symposium on Computer Aided Process Engineering, 2011