IFAC’14 Paper Review (On selected two papers)

Slides:

Advertisements

Similar presentations

Feedback Control Real- time Scheduling James Yang, Hehe Li, Xinguang Sheng CIS 642, Spring 2001 Professor Insup Lee.

Advertisements

Chapter 4: Basic Properties of Feedback

Controller Design, Tuning. Must be stable. Provide good disturbance rejection---minimizing the effects of disturbance. Have good set-point tracking---Rapid,

Lect.7 Steady State Error Basil Hamed

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.

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 Applied Fractional Calculus Workshop Series Main viewpoints of “Book of Extremes” and Why Fractional Calculus is the Tool Applied Fractional Calculus.

MESA LAB Depth ordering Guimei Zhang MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School of Engineering, University of California,

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.

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

Lecture 5: PID Control.

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.

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

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.

Ch6 The Root Locus Method. 6.3 Generalized root locus §Parameter root locus §Zero-degree root locus Equivalent unity feedback transform An example (refer.

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,

MESA LAB A Brief Introduction to MFD (Matrix Fraction Description) Zhuo Li MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School of.

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.

MESA LAB Self-Introduction Applied Fractional Calculus Workshop Series Your name MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School.

Feedback Control system

1 Chapter 11 Compensator Design When the full state is not available for feedback, we utilize an observer. The observer design process is described and.

PID. The proportional term produces an output value that is proportional to the current error value. Kp, called the proportional gain constant.

Modern Control System EKT 308

Control systems KON-C2004 Mechatronics Basics Tapio Lantela, Nov 5th, 2015.

Cruise Control 3 RETURN OF THE SPEED CONTROL JEFF FERGUSON, TOM LEICK.

MESA LAB On tempered and substantial fractional calculus YangQuan Chen Collaborators: Jianxiong Cao, Changpin Li School of Engineering, University of California,

Clock Simulation Jenn Transue, Tim Murphy, and Jacob Medinilla 1.

Smart Icing System Review, September 30 – October 1, 2002 Autopilot Analysis and EP Scheme for the Twin Otter under Iced Conditions. Vikrant Sharma University.

Modern Control System EKT 308 Root Locus and PID controllers.

Chapter 4 A First Analysis of Feedback Feedback Control A Feedback Control seeks to bring the measured quantity to its desired value or set-point (also.

MESA LAB On IFAC2014 Selected Two Papers Jianxiong Cao MESA LAB MESA (Mechatronics, Embedded Systems and Automation) LAB School of Engineering, University.

Page 1 Mechatronics II Lecture 3 By Vasfi Emre Ömürlü, Ph.D.

Lecture 9: PID Controller.

Modern Control Systems Lab#04 PID Position and speed control of D.C Motor Dr. Imtiaz Hussain

Intelligent Robot Lab Pusan National University Intelligent Robot Lab Chapter 7. Forced Response Errors Pusan National University Intelligent Robot Laboratory.

ABE425 Engineering Measurement Systems ABE425 Engineering Measurement Systems PID Control Dr. Tony E. Grift Dept. of Agricultural & Biological Engineering.

A PID Neural Network Controller

CIS 540 Principles of Embedded Computation Spring Instructor: Rajeev Alur

CMS CO 2 Cooling Test Stand Capacity and Load Disruption Tests Simon Kwan Erik Voirin Simon Kwan, Erik Voirin1CMS CO2 Cooling Test Stand Test Results.

AFC Workshop UCMerced Slide-1/ /21/2014 AFC Workshop UCMerced.

EEN-E1040 Measurement and Control of Energy Systems Control I: Control, processes, PID controllers and PID tuning Nov 3rd 2016 If not marked otherwise,

PID Control for Embedded Systems

Classical Design of Wind Turbine Controllers

Workshop for Flipped Class

Process Control & Instrumentation MAPUA INSTITUTE OF TECHNOLOGY

Control engineering and signal processing

Automatic Voltage Regulator

Islamic University of Gaza Electrical Engineering Department

PID Controllers Jordan smallwood.

Okwuchi Emereole and Malcolm Good, University of Melbourne

CSCI1600: Embedded and Real Time Software

Dynamic Controllers for Wind Turbines

Optimal control T. F. Edgar Spring 2012.

Basic Design of PID Controller

Use Part 1 of the Fundamental Theorem of Calculus to find the derivative of the function. {image}

Parabolic Input: R(t) t (s) (Parabolic input error coefficient)

Feedback: Principles & Analysis

E(s): Laplace transform of the error e(t)

Learning Control for Dynamically Stable Legged Robots

Hafez Sarkawi (D1) Control System Theory Lab

Presentation transcript:

IFAC’14 Paper Review (On selected two papers) Yanan Qiu MESA (Mechatronics, Embedded Systems and Automation)Lab School of Engineering, University of California, Merced E: yqiu3@ucmerced.edu Lab: CAS Eng 820 (T: 209-228-4398) Aug 8, 2014. Monday 4:00-6:00 PM Applied Fractional Calculus Workshop Series @ MESA Lab @ UCMerced

AFC Workshop Series @ MESALAB @ UCMerced Interesting paper Control of an Electromechanical Control Actuation System Using a Fractional Order Proportional, Integral, and Derivative-Type Controller, Bülent Özkan. Reasons why it is interesting an Electromechanical Control Actuation System 04/21/2014 AFC Workshop Series @ MESALAB @ UCMerced

AFC Workshop Series @ MESALAB @ UCMerced Argument the aim is at designing a control system upon the Control Actuation System(CAS) such that it maintains the stability of the CAS under the aerodynamic loads acting on the end effectors, i.e. fins, connected to the rods of the CAS while catching the specified performance requirements by using a fractional PID control 04/21/2014 AFC Workshop Series @ MESALAB @ UCMerced

AFC Workshop Series @ MESALAB @ UCMerced Dynamic model of CAS 04/21/2014 AFC Workshop Series @ MESALAB @ UCMerced

Design Of Control System 04/21/2014 AFC Workshop Series @ MESALAB @ UCMerced

AFC Workshop Series @ MESALAB @ UCMerced Simulations 04/21/2014 AFC Workshop Series @ MESALAB @ UCMerced

AFC Workshop Series @ MESALAB @ UCMerced Conclusions it is obvious that the maximum overshoot diminishes as the values of parameters and  approach unity whereas the settling time and steady state error grow. 04/21/2014 AFC Workshop Series @ MESALAB @ UCMerced

AFC Workshop Series @ MESALAB @ UCMerced My doubt It did not express the efficiency of Fractional control. Why not employ the optimization of parameters and 04/21/2014 AFC Workshop Series @ MESALAB @ UCMerced