Transcription of A Lecture on Model Predictive Control
{{id}} {{{paragraph}}}
A Lecture on Model Predictive ControlJay H. LeeSchool of Chemical and Biomolecular EngineeringCenter for Process Systems EngineeringGeorgia Inst. of TechnologyPrepared for Pan American Advanced Studies Institute Program on Process Systems EngineeringSchedule Lecture 1: Introduction to MPC Lecture 2: Details of MPC Algorithm and Theory Lecture 3: Linear Model IdentificationLecture 1 Introduction to MPC- Motivation- History and status of industrial use of MPC- Overview of commercial packagesKey Elements of MPC Formulation of the Control problem as an (deterministic) optimization problem On-line optimization Receding horizon implementation (with feedback update)()()),(0,,min10iiiiiipiiiiuuxFxux guxi= += Repeat!
optimization problem ... stochastic model) • on-line estimation of parameters / states • “robust” solution of optimization. FCCU Debutanizer ~20% under capacity. Debutanizer Diagram Reflux Fan Slurry Pump Around PCT RVP Pressure Flooding Tray 20 Temp. Feed Pre-Heater 160 F 400 F 190 lb From Stripper
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}