Eurotev 22-06-051 Feedback Loop for the mechanical Stabilisation Jacques Lottin* Laurent Brunetti*

Slides:



Advertisements
Similar presentations
Root Locus Diagrams Professor Walter W. Olson
Advertisements

Automation I. Introduction. transmitter actuator Structure of control system Process or plant Material flow sensorstransducers actuating units actuating.
ECEN/MAE 3723 – Systems I MATLAB Lecture 3.
Robotics Research Laboratory 1 Chapter 6 Design Using State-Space Methods.
Lecture 7: Basis Functions & Fourier Series
Development of a Sine-Dwell Ground Vibration Test (GVT) System Presented at CSIR Research and Innovation Conference: February 2006 DPSS Mr Louw.
PROCESS MODELLING AND MODEL ANALYSIS © CAPE Centre, The University of Queensland Hungarian Academy of Sciences Analysis of Dynamic Process Models C13.
Sensorimotor Transformations Maurice J. Chacron and Kathleen E. Cullen.
Chapter 10 Control Loop Troubleshooting. Overall Course Objectives Develop the skills necessary to function as an industrial process control engineer.
1 LAViSta Laboratories in Annecy working on Vibration and Stabilisation Impact of random and determinist acoustic noise on vibrations at high frequencies.
Robust control Saba Rezvanian Fall-Winter 88.
Vanderbilt University Vibro-Acoustics Laboratory 1 Decentralized Structural Acoustic Control of a Launch Vehicle Payload Fairing Kenneth D Frampton Dept.
280 SYSTEM IDENTIFICATION The System Identification Problem is to estimate a model of a system based on input-output data. Basic Configuration continuous.
NORM BASED APPROACHES FOR AUTOMATIC TUNING OF MODEL BASED PREDICTIVE CONTROL Pastora Vega, Mario Francisco, Eladio Sanz University of Salamanca – Spain.
K.N.Toosi University of Technology 1. 2  The Interconnection of two subsystems.
Lecture 4 Measurement Accuracy and Statistical Variation.
The Mechatronics Design Lab Course at the University of Calgary Presented June 2, 2003.
I. Concepts and Tools Mathematics for Dynamic Systems Time Response
CH 1 Introduction Prof. Ming-Shaung Ju Dept. of Mechanical Engineering NCKU.
Day 2. Lecturers: H.-J. Jung, H. Myung, KAIST, Korea Assistants: S.H. Park, D.D. Jang, KAIST, Korea Asia-Pacific Student Summer School on Smart Structures.
ECE Introduction to Control Systems -
Benoit BOLZON Nanobeam 2005 – Kyoto Active mechanical stabilisation LAViSta Laboratories in Annecy working on Vibration Stabilisation Catherine ADLOFF.
B. Caron, G. Balik, L. Brunetti LAViSta Team LAPP-IN2P3-CNRS, Université de Savoie, Annecy, France & SYMME-POLYTECH Annecy-Chambéry, Université de Savoie,
1 LAViSta Laboratories in Annecy working on Vibration and Stabilisation Catherine ADLOFF Andrea JEREMIE Jacques LOTTIN Benoît BOLZON Yannis KARYOTAKIS.
The tendency to reduce the cost of CVGs results in metallic resonator. In comparison to quartz resonator CVG, it has much lower Q-factor and, as a result,
Implementation of adaptive control algorithm based on SPOC form
Autumn 2008 EEE8013 Revision lecture 1 Ordinary Differential Equations.
ECE 8443 – Pattern Recognition ECE 8423 – Adaptive Signal Processing Objectives: Introduction SNR Gain Patterns Beam Steering Shading Resources: Wiki:
IN2P3 Les deux infinis G. Balik, B. Caron, L. Brunetti (LAViSta Team) LAPP-IN2P3-CNRS, Université de Savoie, Annecy, France & SYMME-POLYTECH Annecy-Chambéry,
“Real” Signal Processing with Wireless Sensor Networks György Orosz, László Sujbert, Gábor Péceli Department of Measurement.
Attribute Assessment Implementation – ME 4R03 Saeid Habibi.
1 Final Conference, 19th – 23rd January 2015 Geneva, Switzerland RP 15 Force estimation based on proprioceptive sensors for teleoperation in radioactive.
QD0 stabilization L. Brunetti 1, N. Allemandou 1, J.-P. Baud 1, G. Balik 1, G. Deleglise 1, A. Jeremie 1, S. Vilalte 1 B. Caron 2, C. Hernandez 2, (LAViSta.
1 LAPP in ATF2 Extraced from ANR bid A.Jeremie. 2 LAPP in ATF2 Current activities related to accelerators: The LAPP-Annecy team is currently developing.
An Approach to Stabilizing Large Telescopes for Stellar Interferometry It shakes like a…. [G. Vasisht, 31 March 2006] N. Di Lieto J. Sahlmann, G. Vasisht,
1 Fourier Representations of Signals & Linear Time-Invariant Systems Chapter 3.
Chapter 4 Transfer Function and Block Diagram Operations § 4.1 Linear Time-Invariant Systems § 4.2 Transfer Function and Dynamic Systems § 4.3 Transfer.
Chapter 9 Frequency Response and Transfer Function
CHEE825 Fall 2005J. McLellan1 Spectral Analysis and Input Signal Design.
July 5, 2007 C. HAUVILLER CLIC stabilization Beam line and final focus.
Mechanical Engineering Department Automatic Control Dr. Talal Mandourah 1 Lecture 1 Automatic Control Applications: Missile control Behavior control Aircraft.
Observer-Based Robot Arm Control System Nick Vogel, Ron Gayles, Alex Certa Advised by: Dr. Gary Dempsey.
Roles of Clinician and Engineer in Design and Evaluation of Autonomous Critical Care Devices What are the knowledge gaps? 1 University of Maryland 1 Lex.
CARE / ELAN / EUROTeV Feedback Loop on a large scale quadrupole prototype Laurent Brunetti* Jacques Lottin**
Control systems KON-C2004 Mechatronics Basics Tapio Lantela, Nov 5th, 2015.
CARE / ELAN / EUROTeV Active stabilization of a mechanical structure Laurent BRUNETTI LAViSta Team LAPP-IN2P3-CNRS,
Lecture 25: Implementation Complicating factors Control design without a model Implementation of control algorithms ME 431, Lecture 25.
B. Caron, G. Balik, L. Brunetti LAViSta Team LAPP-IN2P3-CNRS, Université de Savoie, Annecy, France & SYMME-POLYTECH Annecy-Chambéry, Université de Savoie,
Adaptive Control Loops for Advanced LIGO
Spectral Observer with Reduced Information Demand György Orosz, László Sujbert, Gábor Péceli Department of Measurement and Information Systems Budapest.
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.
GROUP MEMBERS ELISHBA KHALID 07-CP-07 TAHIRA SAMEEN 07-CP-31.
CIS 540 Principles of Embedded Computation Spring Instructor: Rajeev Alur
CARE05 – November Status report on active stabilisation of a linear collider final focus quadrupole mock-up J. Lottin, ESIA
LLRF regulation of CC2 operated at 4˚K Gustavo Cancelo for the AD, TD & CD LLRF team.
Chapter 1: Overview of Control
Automatic control systems I. Nonlinearities in Control System
Chapter 4 Transfer Function and Block Diagram Operations
Office Room: H116 Lab. : H830-1 Telephone: 4100
Active isolation Target : a low cost dedicated table
FP7 LED A.Jeremie, L.Brunetti, N.Geffroy.
Department of Civil and Environmental Engineering
ECE 382. Feedback Systems Analysis and Design
Application of Independent Component Analysis (ICA) to Beam Diagnosis
Linear Control Systems
Instrumentation & Measurement (ME342)
Lecture 35 Wave spectrum Fourier series Fourier analysis
György Orosz Department of Measurement and Information Systems
CONTROL SYSTEM AN INTRODUCTION.
Presentation transcript:

Eurotev Feedback Loop for the mechanical Stabilisation Jacques Lottin* Laurent Brunetti* Mihai Corduneanu** Vlad Cozma ** *LISTIC-ESIA, Université de Savoie, Annecy, France **Universitatea Politehnica, Bucuresti, Romania

Eurotev Overview : - Presentation of active vibration reduction - Principle of rejection - Control scheme - Programs - Experiments - Results - Conclusion Collaboration with and

Eurotev Mechanical part control Measurement : (continuous + resonances) Disturbance :-ground: cultural noise… -equipment: motors, flows… Excitation : (strength applied with actuators…) Presentation of Active Vibration Reduction

Eurotev Principle of rejection Assumptions: - There are a few resonances which are independent small amplitudes, linearity, … - amplitude and phase of each resonance are constant or slowly varying with respect to the signal period - frequency of each resonance is known computed by means of Fourier transform - there is no accurate model available

Eurotev Principle of rejection Current objectives: Independently reduce the main resonances For example, an identification of one mock-up…

Eurotev Principle of rejection - rule 2: make the components of excitation converge to values such that the global effect of disturbance and excitation is null at sensor location lumped / distributed - rule 1: decompose each resonance as a weighted combination of sine and cosine measurement, disturbance, excitation with:

Eurotev Principle of rejection An exact direct compensation would require the knowledge of eight elementary transfer functions: at least at one frequency Mechanical part disturbance excitation measurement pcpc psps fcfc fsfs ycyc ysys Disturbance is not well defined Measurement/Excitation transfers are badly known

Eurotev Model (State space representation for one frequency): Control scheme Disturbance With the different components are decomposed in sine and cosine: Input (Strength) State (1)

Eurotev A n : represents the dynamic of the system. Control scheme Dynamic response open loop : first order -> Setting time = 3 * time-constant  : time-constant

Eurotev Control scheme B n, G n : Transfer’s matrix of the strength and the disturbance. (1) Steady state then : 1 st case: disturbance = 0 y = k yf ( f s sin (  t +  yf ) + f c cos (  t +  yf ) ) (2) (2) & (4): (3) also: (4) (5) (6)

Eurotev Estimation of the disturbance using a state observer : Control scheme Requirement: the new model should include the disturbance in the components of the state: The new state vector: The model: (7) (8)

Eurotev State observer: Control scheme Where: Final relation: (9) (10) (Luenberger)

Eurotev Control law: Control scheme State feedback control : (1) => To reject the disturbance: (11) (12) (13)

Eurotev Control scheme Mechanical part spectral analysis signal processing observer state feedback signal rebuilding actuator sensor y c (w i ) y s (w i ) f c (w i ) f s (w i ) y(w i ) f

Eurotev Program Main program: (Matlab / Simulink / XPC Target toolboxes) Analog Input board Analog Output board Control of disturbances Summation of each command Algorithm for one frequency

Eurotev Program Program for one frequency : (Matlab / Simulink / XPC Target toolboxes) State feedback State observer Signal processing Band-pass filter for the disturbance Sensor command rebuilding Actuator Algorithm for one frequency :

Eurotev « a steel beam » 2 loudspeakers 2 opposite PZT Accelerometer (only for monitoring) Experiments Mock-up:

Eurotev Experiments Mock-up: Sensor PZT (bottom) Actuator PZT (on top)

Eurotev Experiments Layout : Development PC (host) Matlab + Simulink + XPC Target Toolboxes Dedicated PC (target) XPC Target Ethernet network Input / Output analog board Texas Instruments Plant Sample time : s

Eurotev Results Rejection of 6 resonances : (without and with rejection) Resonances of :-beam -support

Eurotev Results Some zooms… Without rejection With rejection

Eurotev Results Rejection of 6 resonances : (disturbances and control) Resonances of : -beam -support Disturbances Control

Eurotev Results Phase robustness of  yf (matrix B n ) : 1 st resonance : margin of  /2 Robustness OK : Identified phase Stability limit : Identified phase +2  /20 Identified phase -8  /20 Without rejection

Eurotev Results Gain robustness of k yf (matrix B n ) : 1 st resonance : factor 10. Identified gain Identified gain * 0.1 Identified gain * 10 Beginning of control Worse in setting time Time Right convergence in steady time (stability limit…)

Eurotev Conclusion Status: - Validation is OK - Robustness is ~OK Current and future works: -Spectral analysis of the disturbance in real time -Translation of the last studies on a new model with a parallelepiped beam (2.5 meters long). (testing the algorithm and choosing the appropriate actuators….) Jacques LOTTIN : Laurent BRUNETTI :