PID control of unstable chemical reactor

Slides:



Advertisements
Similar presentations
Chapter 9 PID Tuning Methods.
Advertisements

Tuning of PID controllers
CHE 185 – PROCESS CONTROL AND DYNAMICS
1 ChE / MET Apr 12. Feedback Controller Tuning: (General Approaches) 1)Simple criteria; i.e QAD via ZN I, t r, etc easy, simple, do on existing.
PID Controller Tuning for Desired Closed-Loop Response for SI/SO System 指導老師 : 曾慶耀 學生 : 詹佳翔.
Part IV :Enhancements to Single-Loop PID Feedback Control
Chapter 10 Stability Analysis and Controller Tuning
Optimization of parameters in PID controllers Ingrid Didriksen Supervisors: Heinz Preisig and Erik Gran (Kongsberg) Co-supervisor: Chriss Grimholt.
PROCESS SYSTEMS ENGINEERING GROUP Førsteamanuensis Tore Haug-Warberg Professor Heinz Preisig Professor Sigurd Skogestad Førsteamanuensis Nadi Skjøndal-Bar.
Specialization project 2012 Temperature control of an unstable chemical reactor By Ola Sæterli Hjetland Supervisors: Sigurd Skogestad, Krister Forsman.
Scaled Helicopter Mathematical Model and Hovering Controller Brajtman Michal & Sharabani Yaki Supervisor : Dr. Rotstein Hector.
CHE 185 – PROCESS CONTROL AND DYNAMICS
NORM BASED APPROACHES FOR AUTOMATIC TUNING OF MODEL BASED PREDICTIVE CONTROL Pastora Vega, Mario Francisco, Eladio Sanz University of Salamanca – Spain.
Chemical Process Controls: PID control, part II Tuning
Chemical Reaction Engineering (CRE) is the field that studies the rates and mechanisms of chemical reactions and the design of the reactors in which they.
Lecture 7: PID Tuning.
Plantwide process control with focus on selecting economic controlled variables («self- optimizing control») Sigurd Skogestad, NTNU 2014.
Practical plantwide process control Sigurd Skogestad, NTNU Thailand, April 2014.
Control of floor heating process Siri Hofstad Trapnes Supervisors: Sigurd Skogestad and Chriss Grimholt Direct heating in the floor and room Keep the temperature.
Optimal temperature control of rooms Siri Hofstad Trapnes Superviors: Sigurd Skogestad and Chriss Grimholt.
GHGT-8 Self-Optimizing and Control Structure Design for a CO 2 Capturing Plant Mehdi Panahi, Mehdi Karimi, Sigurd Skogestad, Magne Hillestad, Hallvard.
Specialization project Project title “Practical modeling and PI-control of level processes” Student Ingrid Didriksen Supervisor Krister Forsman.
Analysis of techniques for automatic detection and quantification of stiction in control loops Henrik Manum student, NTNU (spring 2006: CPC-Lab (Pisa))
Models for online control of batch polymerization processes. Student:Fredrik Gjertsen Supervisor, NTNU:Prof. Sigurd Skogestad Supervisor,
Alternative form with detuning factor F
Department of Chemical Engineering,
Simple rules for PID tuning Sigurd Skogestad NTNU, Trondheim, Norway.
Ch6 The Root Locus Method. 6.3 Generalized root locus §Parameter root locus §Zero-degree root locus Equivalent unity feedback transform An example (refer.
Models for on-line control of batch polymerization processes Student:Fredrik Gjertsen Supervisor, NTNU:Prof. Sigurd Skogestad Supervisor,
1 Christer Haugland, Modeling and Control of fertilizer granulation process Christer Haugland Supervisors: Sigurd Skogestad Vidar Alstad (Yara Technology.
PID controller Time domain Laplace domain
1 The improved SIMC method for PI controller tuning Chriss Grimholt Sigurd Skogestad NTNU, Trondheim, Norway Reference: C. Grimholt and S. Skogestad, “The.
1 1 Vinicius de Oliveira | an intelligent adaptive anti-slug control system for production maximization Vinicius de Oliveira Control and Automation Engineering.
1 Optimal operation of energy storage in buildings: The use of hot water system Emma Johansson Supervisors: Sigurd Skogestad and Vinicius de Oliveira.
ChE 182 Chemical Process Dynamics and Control
Stabilizing control and controllability:
Economic Plantwide Control using
Temperature Control of An Open-loop Unstable Ethylene to Butene-1 Dimerization Reactor by Emad Ali & Khalid Al-humaizi Chemical Engineering Department.
1 Visit at Perstorp Daniel Greiner Edvardsen (Master student) Johannes Jäschke (PhD) April 14th, 2010.
Cascade Control Systems (串级控制系统)
1 PID Feedback Controllers PID 反馈控制器 Dai Lian-kui Shen Guo-jiang Institute of Industrial Control, Zhejiang University.
Control strategies for optimal operation of complete plants Plantwide control - With focus on selecting economic controlled variables Sigurd Skogestad,
1 1 Sigurd Skogestad | Closed-loop model identification and PID/PI tuning for robust anti-slug control Closed-loop model identification and PID/PI tuning.
1 The setpoint overshoot method: A simple and fast closed-loop approach for PI tuning Mohammad Shamsuzzoha Sigurd Skogestad Department of Chemical Engineering.
ECONOMIC PLANTWIDE CONTROL USING COMMERCIAL PROCESS SIMULATION SOFTWARE PROJECT STATUS ADRIANA REYES LÚA SUPERVISOR: SIGURD SKOGESTAD CO-SUPERVISOR: VLADIMIROS.
Probably© the smoothest PID tuning rules in the world: Lower limit on controller gain for acceptable disturbance rejection Sigurd Skogestad Department.
Process Control & Instrumentation MAPUA INSTITUTE OF TECHNOLOGY
Presentation at NI Day April 2010 Lillestrøm, Norway
Advanced process control with focus on selecting economic controlled variables («self-optimizing control») Sigurd Skogestad, NTNU 2016.
Stian Aaltvedt Supervisors: Sigurd Skogestad Johannes Jäschke
Introduction to PID control
Tuning of PID controllers
Lec 14. PID Controller Design
Tuning of PID controllers
Frequency Response Bode and Nyquist plots Nyquist stability theorem
Modeling of a CO2-stripper
Controllability of a Granulation Process
Modelling of the production of biodiesel by reactive distillation
Should we forget the Smith Predictor?
How a control system may become unstable
Simplified First Principle Model for Severe
Real-Time Feedback Control System for ADITYA-U Tokamak Plasma Position Stabilisation ROHIT et al. Development of transfer function models for the fast.
Find the closed-loop transfer function in terms of Gİ.
Henrik Manum, student, NTNU
Lecture 23 Chemical Reaction Engineering (CRE) is the field that studies the rates and mechanisms of chemical reactions and the design of the reactors.
How a control system may become unstable
PROCESS SYSTEMS ENGINEERING GROUP
PID Controller Design and
Performance and Robustness of the Smith Predictor Controller
Lecture 23 Chemical Reaction Engineering (CRE) is the field that studies the rates and mechanisms of chemical reactions and the design of the reactors.
Presentation transcript:

PID control of unstable chemical reactor Make a simple Matlab model of an unstable CSTR Simulate PI and PID control of the process Propose a simple way to obtain tuning parameters By Ola S. Hjetland Supervisors: Sigurd Skogestad, Krister Forsman and Vinicius de Oliveira

SIMC (open loop simulation) Shams (closed loop simulation) Method based on Nyquist stability and the sensitivity function (Vinicius) Further work: Implement the dynamics of the heat exchanger in the model Further investigation of the controller performance Make a recommendation for tuning parameters (or method to acquire these parameters)