MESA LAB ICFDA’14 Paper Review (On selected two papers) Zhuo Li MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School of Engineering,

Slides:



Advertisements
Similar presentations
PID Control Professor Walter W. Olson
Advertisements

The Performance of Feedback Control Systems
10.1 Introduction Chapter 10 PID Controls
Optimization-based PI/PID control for SOPDT process
10.4 The Divergence and Integral Test Math 6B Calculus II.
1 Benoit Boulet, Ph.D., Eng. Industrial Automation Lab McGill Centre for Intelligent Machines Department of Electrical and Computer Engineering McGill.
PID Controller Tuning for Desired Closed-Loop Response for SI/SO System 指導老師 : 曾慶耀 學生 : 詹佳翔.
IFAC World Congress 2014 Tutorial A Tutorial on FOMC IFAC World Congress (IFAC 2014), August 23, 2014, CTICC, Cape Town, South Africa Prof. YangQuan Chen.
PID Control -1 + Professor Walter W. Olson
Mechatronics at the University of Calgary: Concepts and Applications Jeff Pieper.
MESA LAB Self-Introduction Applied Fractional Calculus Workshop Series Jianxin Liu Visiting Scholar MESA LAB MESA (Mechatronics, Embedded Systems and Automation)
MESA LAB Two papers in IFAC14 Guimei Zhang MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School of Engineering, University of California,
MESA LAB Depth ordering Guimei Zhang MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School of Engineering, University of California,
© Goodwin, Graebe, Salgado, Prentice Hall 2000 Chapter7 Synthesis of SISO Controllers.
Control System Design Based on Frequency Response Analysis
Frequency Response Methods and Stability
Transient and steady state response (cont.)
Modeling, Simulation, and Control of a Real System Robert Throne Electrical and Computer Engineering Rose-Hulman Institute of Technology.
MESA LAB Applied Fractional Calculus Workshop Series Cal Maritime Academy, Vallejo, CA Applied Fractional Calculus Workshop Series Tomas Oppenheim MESA.
Multivariable Control Systems
1 Basic Control Theory and Its Application in AMB Systems Zongli Lin University of Virginia.
PID Tuning and Controllability Sigurd Skogestad NTNU, Trondheim, Norway.
MESA LAB IFAC’14 Paper Review (On selected two papers) Zhuo Li MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School of Engineering,
MESA Lab Synthesis of bidimensional α -stable models with long-range dependence xiaodong sun MESA (Mechatronics, Embedded Systems and Automation) Lab School.
MESA Lab Interesting TOPICS in ICFDA2014 xiaodong sun MESA (Mechatronics, Embedded Systems and Automation) Lab School of Engineering, University of California,
MESA LAB CTRW MATLAB Toolbox Applied Fractional Calculus Workshop Series Tomas Oppenheim MESA LAB MESA (Mechatronics, Embedded Systems and Automation)
Tiebiao Zhao MESA (Mechatronics, Embedded Systems and Automation)Lab
MESA LAB Multi-view image stitching Guimei Zhang MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School of Engineering, University of.
Control Theory and Congestion Glenn Vinnicombe and Fernando Paganini Cambridge/Caltech and UCLA IPAM Tutorial – March Outline of second part: 1.Performance.
MESA LAB Two papers in icfda14 Guimei Zhang MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School of Engineering, University of California,
MESA LAB Introduction to Fractional Calculus UC Merced 2014 Edition YangQuan Chen, Ph.D., Director, MESA LAB MESA (Mechatronics, Embedded Systems.
Alternative form with detuning factor F
Fractional Calculus UC Merced
MESA Lab Two Interesting Papers Introduction at ICFDA 2014 Xiaobao Jia MESA (Mechatronics, Embedded Systems and Automation) Lab School of Engineering,
Controller Design (to determine controller settings for P, PI or PID controllers) Based on Transient Response Criteria Chapter 12.
MESA LAB A Brief Introduction to MFD (Matrix Fraction Description) Zhuo Li MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School of.
Chapter 14 Frequency Response Force dynamic process with A sin  t, Chapter
Section 1: A Control Theoretic Approach to Metabolic Control Analysis.
Low Level Control. Control System Components The main components of a control system are The plant, or the process that is being controlled The controller,
MESA LAB PEM fuel cell fractional order modeling and identification Tiebiao Zhao MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School.
Title Your Name University Name Date Instructor Name.
MESA LAB Self-Introduction Applied Fractional Calculus Workshop Series Your name MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Feedback Control system
ME 132 Summary –Intro and motivation of Feedback Control Following a reference (lectures, sec 1, pp1-3, sec 5) Rejecting a disturbance (lectures, sec 1,
© 2005 PRS S.A. TWO DEGREE OF FREEDOM PID CONTROLLER DESIGN USING GENETIC ALGORITHMS Daniel Czarkowski Polish Register of Shipping, Gdańsk, POLAND
Intelligent controller design based on gain and phase margin specifications Daniel Czarkowski  and Tom O’Mahony* Advanced Control Group, Department of.
Chapter 7 Adjusting Controller Parameters Professor Shi-Shang Jang Chemical Engineering Department National Tsing-Hua University Hsin Chu, Taiwan.
Control systems KON-C2004 Mechatronics Basics Tapio Lantela, Nov 5th, 2015.
Lecture 25: Implementation Complicating factors Control design without a model Implementation of control algorithms ME 431, Lecture 25.
MESA LAB On tempered and substantial fractional calculus YangQuan Chen Collaborators: Jianxiong Cao, Changpin Li School of Engineering, University of California,
Lecture 22: Frequency Response Analysis (Pt II) 1.Conclusion of Bode plot construction 2.Relative stability 3.System identification example ME 431, Lecture.
Frequency Response Analysis and Stability
Ch. 13 Frequency analysis TexPoint fonts used in EMF.
Lecture 16: Introduction to Control (Part II)
Controllability Analysis for Process and Control System Design
Lecture 23: Frequency Response for Design
Optimal PI-Control & Verification of the SIMC Tuning Rule
Dynamic Neural Network Control (DNNC): A Non-Conventional Neural Network Model Masoud Nikravesh EECS Department, CS Division BISC Program University of.
MESA LAB On IFAC2014 Selected Two Papers Jianxiong Cao MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School of Engineering, University.
SKEE 3143 Control Systems Design Chapter 2 – PID Controllers Design
AFC Workshop UCMerced Slide-1/ /21/2014 AFC Workshop UCMerced.
Mechatronics at the University of Calgary: Concepts and Applications
سمینار درس کنترل پیش بین
A New Control Framework
IFAC’14 Paper Review (On selected two papers)
Should we forget the Smith Predictor?
Masoud Nikravesh EECS Department, CS Division BISC Program
Outline Control structure design (plantwide control)
Presentation transcript:

MESA LAB ICFDA’14 Paper Review (On selected two papers) Zhuo Li MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School of Engineering, University of California, Merced E: Lab: CAS Eng 820 (T: ) Jun 30, Monday 4:00-6:00 PM Applied Fractional Calculus Workshop MESA UCMerced

MESA LAB Interesting titles Fractional order controller design for a large class of process models Vicente Feliu-Batlle, Raul Rivas-Perez, Fernando J. Castillo-Garcia, “Robust fractional- order temperature control of a steel slab reheating furnace with large time delay uncertainty” Robust Factional Order PID Controllers: The First Generation CRONE CSD Approach Victor Kubyshkin and Sergey Postnov, “Optimal Control Problem for Linear Fractional- Order Systems” Gain and Order Scheduled Fractional-order PID Control Of Fluid Level in a Multi-Tank System Slide-2/1024 AFC Workshop UCMerced 04/21/2014

MESA LAB Paper I 04/21/2014 AFC Workshop UCMerced Slide-3/1024

MESA LAB Paper I 04/21/2014 AFC Workshop UCMerced Slide-4/1024

MESA LAB Argument 04/21/2014 AFC Workshop UCMerced Slide-5/1024

MESA LAB General design specifications 04/21/2014 AFC Workshop UCMerced Slide-6/1024

MESA LAB My doubt 04/21/2014 AFC Workshop UCMerced Slide-7/1024

MESA LAB Paper II 04/21/2014 AFC Workshop UCMerced Slide-8/1024

MESA LAB Paper II Reasons why it is interesting to me 04/21/2014 AFC Workshop UCMerced Slide-9/1024 Let’s read its conclusion “This paper presented the Control System Design of controller using the frequency- domain approach. He focuses on PID, fractional order PID and then on first generation CRONE controllers. Fractional order controllers provide more tuning parameters that are used for the robustness purpose by the CRONE methodology. First generation CRONE controllers can be used for plants with magnitude uncertainty and constant phase. When the plant phase varies with respect to the frequency, the second CRONE generation design can be used. It proposes a required nominal open-loop transfer function defined from that of a fractional order integrator. Complex fractional orders have been used to develop the CRONE approach [19, 20, 21, 5] and other approaches [2]. The third CRONE generation design has been developed for plants with both gain and phase uncertainties. Today, the CRONE CSD permits to tackle non-minimum phase, time delay, unstable or undamped plants [5, 7, 21] and linear time varying plants [29]. It has been extended for the control of MIMO plants [6, 16].”

MESA LAB Academic parallel 04/21/2014 AFC Workshop UCMerced Slide-10/1024

MESA LAB Serial 04/21/2014 AFC Workshop UCMerced Slide-11/1024

MESA LAB The first generation CRONE methodology 04/21/2014 AFC Workshop UCMerced Slide-12/1024

MESA LAB Summary To sum up, this CRONE controller is robust even if it requires a greater control level and more time to reject an input disturbance. It illustrates perfectly the robustness/performance trade-off. 04/21/2014 AFC Workshop UCMerced Slide-13/1024