Predictive Control in Process Engineering

Preface Notation and Abbreviations INTRODUCTION TO PREDICTIVE CONTROL Preview of Predictive Control Manipulated, Reference, and Controlled Signals Cost Function of Predictive Control Reference Signal and Disturbance Preview, Receding Horizon, One-Step-Ahead, and Long-Range Optimal Control Free and Forced Responses of the Predicted Controlled Variable Minimization of the Cost Function Simple Tuning Rules of Predictive Control Control of Different Linear SISO Processes Control of Different Linear MIMO Processes Control of Nonlinear Processes Control under Constraints Robustness Summary LINEAR SISO MODEL DESCRIPTIONS Nonparametric System Description Pulse-Transfer Function Model Discrete-Time State Space Model Summary PREDICTIVE ON-OFF CONTROL Classical On-Off Control by Means of Relay Characteristics Predictive Set Point Control Predictive Start-Up Control at a Reference Signal Change Predictive Gap Control Case Study: Temperature Control of an Electrical Heat Exchanger Summary GENERALIZED PREDICTIVE CONTROL OF LINEAR SISO PROCESSES Control Algorithm without Constraints Linear Polynomial Form of Unconstrained GPC Tuning the Controller Parameters Blocking and Coincidence Points Techniques Measured Disturbance Feed-Forward Compensation Control Algorithm with Constraints Extended GPC with Terminal Methods Summary PREDICTIVE PID CONTROL ALGORITHMS Predictive PI(D) Control Structure Predictive PI Control Algorithm Predictive PID Control Algorithm Equivalence between the Predictive PI(D) Algorithm and the Generalized Predictive Control Algorithm Tuning of Predictive PI(D) Algorithms Robustifying Effects Applied for Predictive PI(D) Control Algorithms Summary PREDICTIVE CONTROL OF MULTIVARIABLE PROCESSES Model Descriptions Predictive Equations The Control Algorithm Polynomial Form of the Controller (without Matrix Inversion) Pairing of the Controlled and the Manipulated Variables Scaling of the Controlled and the Manipulated Variables Tuning Decoupling Control Case Study: Control of a Distillation Column Summary ESTIMATION OF THE PREDICTIVE EQUATIONS LS Parameter Estimation More-Steps-Ahead Prediction Based on the Estimated Process Model Long-Range Optimal Single-Process Model Identification Multi-Step-Ahead Predictive Equation Identification Comparison of the Long-Range Optimal Identification Algorithms Case Study: Level Control in a Two-Tank Plant Summary MULTIMODEL AND MULTICONTROLLER APPROACHES Nonlinear Process Models Predictive Equations The Control Algorithm Case Study Summary GPC OF NONLINEAR SISO PROCESSES Nonlinear Process Models Predictive Equations for the Nonparametric and Parametric Hammerstein and Volterra Models Control Based on Nonparametric and Parametric Hammerstein and Volterra Models Control Based on Linearized Models Control Based on Nonlinear Free and Linearized Forced Responses Case Study: Level Control of a Two-Tank Plant Summary PREDICTIVE FUNCTIONAL CONTROL Control Strategy and Controller Parameters for a Constant Set Point PFC for Aperiodic Processes PFC with Disturbance Feed-Forward PFC with Constraints Nonlinear PFC for Processes with Signal-Dependent Parameters Case Study: Temperature Control of a Hot Air Blower Summary CASE STUDIES Predictive Temperature Control of an Injection Molding Machine Wastewater Quality Control of an Intermittently Operated Plant Wastewater Quality Control with Pre-Denitrification INDUSTRIAL APPLICATIONS Concentration Control and Pressure Minimization of a Petrochemical Distillation Column Concentration Control and Reducing Steam Consumption in a Stripping Column Temperature and Combustion Control of a Gas-Heated Furnace for Chemical Gasoline PRACTICAL ASPECTS AND FUTURE TRENDS Classification of a Predictive Control Project Project Implementation Implementation of a Predictive Controller Future Trends Summary