ECSE 4440 Control System Engineering. Project 1. Controller Design of a Second Order System TA

Size: px
Start display at page:

Download "ECSE 4440 Control System Engineering. Project 1. Controller Design of a Second Order System TA"

Transcription

1 ECSE 4440 Control Sytem Enineerin Project 1 Controller Dein of a Secon Orer Sytem TA Content 1. Abtract. Introuction 3. Controller Dein for a Sinle Penulum 4. Concluion

2 1. Abtract The uroe of thi roject i to in a controller for a econ orer ytem(the mot common rototye control roblem). A Proortional Interal erivative(pid) will be aote for the ive ytem. The tuy will be aroache analytically an exerimentally.. Introuction Practically, there are few ytem that on t have any control ytem inie. More comlicate become ytem, more ohiticate controller are neee. To in a controller, everal iue houl be coniere e.., moelin, ytem erformance, tunin ain an tability. For a imle econ orer ytem, thoe iue will be tuie in thi roject. The iven inle enulum ytem i a baic econ orer ytem to be controlle. The ytem will be moele a a linear ytem. The ole an zero of the ytem will be foun to tet the tability of the iven ytem. The controller will be eveloe in the orer of roortional(p) controller, roortional-erivative(pd) controller-roortional an roortional-interal-erivative(pid) controller. To meet the iven ecification an tability, the ain will be tune. The controller will be imlemente in continuou time omain(s lane) an in icrete time omain(z lane), reectively. The analytical controller will be verifie by imulation with imulink of Matlab. 3. Controller Dein for A Sinle Penulum 3.1 Linearization(Tak 1) The analyi an control in are far eaier for the linear than for nonlinear moel. Linearization i the roce of finin a linear moe that aroximate a nonlinear one. Linearization roce een on the exanin the nonlinear tate equation in to a Taylor erie. In the iven ynamic equation (1), two non-linear function exit, e.., n( θ. ), in θ. ( I + I + ml ) θ.. + F θ. + F n( θ. ) + ml in θ = τ v m v c = Parameter Name Value m Ma.048 I Link Inertia m I Motor Inertia.e-7 m m l Ditance.051 m N Gear Ratio F Coulomb Friction Coefficient.014 N-m c F Vicou Friction Coefficient.0034 N-m-ec v Torque Contant (1)

3 n(.. θ ) can be et to be zero ince at the equilibrium tate, θ = 0. For in θ, the firt two term(linear term) of the Taylor erie exanion() are ue. in θ = in θ + coθ θ θ.5in θ θ θ + () The the linearize ytem become ( ) ( )... ( I m N I + ml ) θ + Fv θ + ml coθ θ = τ ml in θ where θ = ( θ ) + (3) θ The Lalace tranform of the equation i α + F + ml coθ ( ) Θ( ) = Ι( ) v where α = I mn + I + ml an I() i the Lalace tranform of τ ml in θ. Then, the tranfer function of the ytem i Θ( ) 1 H ( ) = = I( ) α + Fv + ml coθ (5) From the tranfer function, it ha ole at F coθ v Fv ml ± 4 α α α = (6) an no zero. For the ytem to be table, every ole houl be in left han ie of - lane. In the equation (6), co θ > 0 i the conition for the ytem to be table. In π 3π other wor, 0 < θ < or < θ < π. With thoe iven arameter value an π θ =, the ole are at 0 an an for θ = π, ole are at an Therefore the ytem i marinally table or untable by itelf. 3. Imlementation Simulink iaram for the iven ytem an the to level iaram(with PID Controller) are hown in Fiure 1 an Fiure. The arameter are efine in the file eninit.m. To initialize the arameter, the ubytem block(initialization) i in the ytem. (4) 3

4 Fiure 1 Fiure With only the inle enulum ytem, the te reone oe infinity in fiure P Fee Back Controller(tak 3) Fiure 3 4

5 A a baic controller oeration, the controller i imly an amlifier with a contant ain τ = θ θ. Hence the outut of P controller i an a feeback loo, ( ) relate with the inut of the controller by a roortional contant. Ain a P controller to the iven ytem reult in chanin the tranfer function of overall ytem uch a θ = θ + (7) α + F + ml coθ + a + F + ml coθ + v where iturbance = ml in θ. From (7), the location of the ole een on the iven arameter an ole are v. The F coθ v Fv ml + ± 4 α α α = (8) The location of the ole are chanin by varyin. If > ml coθ, the ytem become table. With iven arameter an = 5, the ole are locate at.474 ± 119i for θ = π an π θ = reult i verifie by the imulation( =5, table for both value. uch that the ytem i table. The analytical i=0 an i=0). In fiure 4, the ytem i Fiure PD Fee Back Controller(tak 4) Even thouh the ytem with P controller i table, the outut ha relatively hih eak overhoot an i ocillatin. The ocillation reult from the exceive amount of 5

6 torque an the lack of amin. Ain the erivative of the inut make the ytem critical ame. In the equation (9), the location of ole are F coθ v + Fv + ml + ± 4 α α α = (9) A it i hown in (9), tunin an make it oible for the ytem to meet the iven ecification e.., rie time (90%), ettlin time (%) mall overhoot(le 5%) an teay tate error(le then %). Once the inie of the quare root i neative, the amin een on it manitue. For fixe =. 1, the te reone are hown for variou value in the fiure 5. The lot how increain increain overhoot( =10). For fixe Fiure 5 reult in ecreain rie time( =1 in the fiure 6, the te reone are hown for variou value. =1,10) but 6

7 Fiure 6 In the fiure, ecreain value lea to ecreae the rie time. For the iven ecification, =.1 an = make the ytem meet the ecification very well in Fiure 7. Fiure 7 From the iven tranfer function for the ytem with PD controller (10), teay tate error can be calculate by ettin = 0. θ = θ + α + F + + ml coθ + a + F + + ml coθ + ( v ) ( v ) where = ml in θ (10) Therefore the teay tate error i the function of θ in (11). ml in θ e = (11) ml coθ + 7

8 π With imulation with the arameter θ = ame with.04 calculate by (11)., =1, the error in Fiure 8 i almot 3.5 Wahout Filter Dein(tak 5) Fiure 8 In ractice,. θ i not meaure. In tea of that, one hih a filter which ha one zero at the oriin in feeback loo. Scoe Ste.+i PI control In1 theta thetaot Terminator Sinle theta To Workace Penulum Simulator +3 Gain Tranfer Fcn SubSytem t1 Clock time Fiure 8-1 The te reone of the wahout filter controller i ocillate at tranient art an ha amin. But the filter reuce the teay tate error in Fiure 8-. 8

9 Fiure PD controller in amle ata imlementation(tak 6) So far, the controller ha been imlemente in continuou time omain. The icrete imlementation, however, become more oular by aearin comuter an mall iital microroceor. In continuou omain, a ifferential equation can be aroximate with a ifference equation e.., ( k ) ( θ ( k ) θ ( k 1) )/ t θ. With the aroximation, the PD controller ytem i imlemente in fiure 9. Fiure 9 The imulation reult i well aroximate in amle ata imlementation in fiure 10. 9

10 I n 1 theta thetaot Fiure 10 θ 3.7 PID controller in continuou an amle ata imlementation (tak 7,8) To comenate the teay tate error, the interal controller houl be ae. One obviou effect of the interal control i that it increae the tye of the ytem by one; that i, if the teay-tate error to a iven inut i contant, the interal control reuce it to zero. The tranfer function of the PID controller ytem i + + i = θ α + F + + ml coθ + + a + F + + ml coθ ( v ) ( ) i ( v ) ( + ) + i where = ml in θ (1) then θ θ oe to zero a S 0. In other wor, the interal controller 0 comenate teay tate error. The continuou an amle ata imlemente PID controller are imulate an comare in fiure 11 an fiure 1. Scoe.+i Ste PI control Gain Sinle Penulum Simulator theta To Workace SubSytem t1 Clock time Fiure 11 10

11 The erformance of both controller meet the iven ecification in fiure 1 an fiure 13. Fiure 13 Fiure 14 Parameter Continuou Controller Samle ZOH controller θ = π θ =π / θ = π θ =π / Overhoot(%) t (ec) t r (ec) t (ec) Steay error (%) 1.4e-4 1.5e e e Trackin(tak 9) U to now, the inut ha been a te function. But in real ytem, the inut ten to be a θ t = π in 4πt time varyin function uch a a inuoial function. The iven inut ( ) ( ) 11

12 increae the tranfer function by becaue the Lalace tranform of the inut i 4π. The total ytem become (13). + 16π + + i 4π θ = + 3 α + F + + ml coθ π a 3 + ( ) ( ) v ( Fv + ) + ( ml coθ + ) + i A hown in (13), the ytem i a fifth orer ytem. Firt of all, ominant econ orer ytem nee to be foun which ha the ole mot cloe to imainary axi. Then tunin the ole of the econ ytem to make the ytem meet the ecification. With the ame ain with tak 8, the outut i hown in Fiure 15. i (13) 3.9 Exerimental Fiure Concluion In thi roject, the controller in of a econ orer ytem(a inle enulum) ha been tuie. A a controller, PID controller ha been aote. Mathematical analyi of the tranfer function ha been ue an imulation jutify the analyi. Even thouh, a PID controller i imle, the robut of the controller ha been exerience an jutifie. 1

Figure 1 Siemens PSSE Web Site

Figure 1 Siemens PSSE Web Site Stability Analyi of Dynamic Sytem. In the lat few lecture we have een how mall ignal Lalace domain model may be contructed of the dynamic erformance of ower ytem. The tability of uch ytem i a matter of

More information

Ch. 6 Single Variable Control ES159/259

Ch. 6 Single Variable Control ES159/259 Ch. 6 Single Variable Control Single variable control How o we eterine the otor/actuator inut o a to coan the en effector in a eire otion? In general, the inut voltage/current oe not create intantaneou

More information

USE OF INTERNET TO DO EXPERIMENTS IN DYNAMICS AND CONTROL FROM ZACATECAS MEXICO IN THE LABORATORY OF THE UNIVERSITY OF TENNESSEE AT CHATANOOGAA.

USE OF INTERNET TO DO EXPERIMENTS IN DYNAMICS AND CONTROL FROM ZACATECAS MEXICO IN THE LABORATORY OF THE UNIVERSITY OF TENNESSEE AT CHATANOOGAA. USE OF INTERNET TO DO EXPERIMENTS IN DYNAMICS AND CONTROL FROM ZACATECAS MEXICO IN TE LABORATORY OF TE UNIVERSITY OF TENNESSEE AT CATANOOGAA. Jim enry *, Joé Alberto González Guerrero, Benito Serrano Roale..

More information

Systems Analysis. Prof. Cesar de Prada ISA-UVA

Systems Analysis. Prof. Cesar de Prada ISA-UVA Sytem Analyi Prof. Cear de Prada ISAUVA rada@autom.uva.e Aim Learn how to infer the dynamic behaviour of a cloed loo ytem from it model. Learn how to infer the change in the dynamic of a cloed loo ytem

More information

Feedforward Control identifiable disturbance measured,

Feedforward Control identifiable disturbance measured, Feeforwar Control So far, mot of the focu of thi coure ha been on feeback control. In certain ituation, the erformance of control ytem can be enhance greatly by the alication of feeforwar control. What

More information

Operational transconductance amplifier based voltage-mode universal filter

Operational transconductance amplifier based voltage-mode universal filter Indian Journal of Pure & Alied Phyic ol. 4, etember 005,. 74-79 Oerational tranconductance amlifier baed voltage-mode univeral filter Naeem Ahmad & M R Khan Deartment of Electronic and Communication Engineering,

More information

Discrete-Time PID (n-2) Stage PD Cascade Controllers with First Order Hold and Delayed First Order Hold Discretizations

Discrete-Time PID (n-2) Stage PD Cascade Controllers with First Order Hold and Delayed First Order Hold Discretizations Proceeing of the International MultiConference of Engineer an Comuter Scientit 7 Vol I IMECS 7 March 5-7 7 Hong Kong Dicrete-Time PID (n- Stage PD Cacae Controller with Firt Orer Hol an Delaye Firt Orer

More information

ROOT LOCUS. Poles and Zeros

ROOT LOCUS. Poles and Zeros Automatic Control Sytem, 343 Deartment of Mechatronic Engineering, German Jordanian Univerity ROOT LOCUS The Root Locu i the ath of the root of the characteritic equation traced out in the - lane a a ytem

More information

Design of Two-Channel Low-Delay FIR Filter Banks Using Constrained Optimization

Design of Two-Channel Low-Delay FIR Filter Banks Using Constrained Optimization contrained otimization, CIT Journal of Comuting and Information Technology, vol. 8, no 4,. 34 348, 2. Deign of Two-Channel Low-Delay FIR Filter Bank Uing Contrained Otimization Abtract Robert Bregović

More information

Module: 8 Lecture: 1

Module: 8 Lecture: 1 Moule: 8 Lecture: 1 Energy iipate by amping Uually amping i preent in all ocillatory ytem. It effect i to remove energy from the ytem. Energy in a vibrating ytem i either iipate into heat oun or raiate

More information

OVERSHOOT FREE PI CONTROLLER TUNING BASED ON POLE ASSIGNMENT

OVERSHOOT FREE PI CONTROLLER TUNING BASED ON POLE ASSIGNMENT OVERSHOO FREE PI CONROER UNING BASED ON POE ASSIGNMEN Nevra Bayhan * Mehmet uran Söylemez ** uğba Botan ** e-mail: nevra@itanbul.edu.tr e-mail: oylemez@el.itu.edu.tr e-mail: botan@itu.edu.tr * Itanbul

More information

Designing of Analog Filters.

Designing of Analog Filters. Deigning of Analog Filter. Aliaing and recontruction filter are analog filter, therefore we need to undertand the deign of analog filter firt before going into the deign of digital filter. Further the

More information

Analysis of PI controller by model based tuning method in Real Time Level Control of Conical Tank System using block box modeling

Analysis of PI controller by model based tuning method in Real Time Level Control of Conical Tank System using block box modeling International Journal of ChemTech Reearch CODEN (USA): IJCRGG, ISSN: 0974-490, ISSN(Online):455-9555 Vol.11 No.01, 86-99, 018 Analyi of PI controller by model baed tuning method in Real Time Level Control

More information

Analysis the Transient Process of Wind Power Resources when there are Voltage Sags in Distribution Grid

Analysis the Transient Process of Wind Power Resources when there are Voltage Sags in Distribution Grid Analyi the Tranient Proce of Wind Power Reource when there are Voltage Sag in Ditribution Grid Do Nhu Y 1,* 1 Hanoi Univerity of ining and Geology, Deartment of Electrification, Electromechanic Faculty,

More information

Module 4: Time Response of discrete time systems Lecture Note 1

Module 4: Time Response of discrete time systems Lecture Note 1 Digital Control Module 4 Lecture Module 4: ime Repone of dicrete time ytem Lecture Note ime Repone of dicrete time ytem Abolute tability i a baic requirement of all control ytem. Apart from that, good

More information

x with A given by (6.2.1). The control ( ) ( )

x with A given by (6.2.1). The control ( ) ( ) Homework 5 Sring 9 AerE33 Due 4/(F) SOLUTION PROBLEM (3t) In thi roblem we will invetigate the longitudinal dynamic of the B747 airlane a decribed in Etkin 66 The tate model i x Ax Bu where the tate vector

More information

Compensation of backlash effects in an Electrical Actuator

Compensation of backlash effects in an Electrical Actuator 1 Compenation of backlah effect in an Electrical Actuator R. Merzouki, J. C. Caiou an N. M Siri LaboratoireeRobotiqueeVeraille 10-12, avenue e l Europe 78140 Vélizy e-mail: merzouki@robot.uvq.fr Abtract

More information

Lecture 4. Chapter 11 Nise. Controller Design via Frequency Response. G. Hovland 2004

Lecture 4. Chapter 11 Nise. Controller Design via Frequency Response. G. Hovland 2004 METR4200 Advanced Control Lecture 4 Chapter Nie Controller Deign via Frequency Repone G. Hovland 2004 Deign Goal Tranient repone via imple gain adjutment Cacade compenator to improve teady-tate error Cacade

More information

EXERCISES FOR SECTION 6.3

EXERCISES FOR SECTION 6.3 y 6. Secon-Orer Equation 499.58 4 t EXERCISES FOR SECTION 6.. We ue integration by part twice to compute Lin ωt Firt, letting u in ωt an v e t t,weget Lin ωt in ωt e t e t lim b in ωt e t t. in ωt ω e

More information

2.0 ANALYTICAL MODELS OF THERMAL EXCHANGES IN THE PYRANOMETER

2.0 ANALYTICAL MODELS OF THERMAL EXCHANGES IN THE PYRANOMETER 2.0 ANAYTICA MODE OF THERMA EXCHANGE IN THE PYRANOMETER In Chapter 1, it wa etablihe that a better unertaning of the thermal exchange within the intrument i neceary to efine the quantitie proucing an offet.

More information

FREQUENCY RESPONSE MASKING BASED DESIGN OF TWO-CHANNEL FIR FILTERBANKS WITH RATIONAL SAMPLING FACTORS

FREQUENCY RESPONSE MASKING BASED DESIGN OF TWO-CHANNEL FIR FILTERBANKS WITH RATIONAL SAMPLING FACTORS R. Bregović, Y. C. im an T. Saramäi, Freuency reone maing bae eign of two-channel FIR filterban with rational amling factor, Proc. 5 th Int. orho on Sectral Metho an Multirate Signal Proceing, Riga, atvia,

More information

ON ITERATIVE FEEDBACK TUNING AND DISTURBANCE REJECTION USING SIMPLE NOISE MODELS. Bo Wahlberg

ON ITERATIVE FEEDBACK TUNING AND DISTURBANCE REJECTION USING SIMPLE NOISE MODELS. Bo Wahlberg ON ITERATIVE FEEDBACK TUNING AND DISTURBANCE REJECTION USING SIMPLE NOISE MODELS Bo Wahlberg S3 Automatic Control, KTH, SE 100 44 Stockholm, Sween. Email: bo.wahlberg@3.kth.e Abtract: The objective of

More information

EE 4443/5329. LAB 3: Control of Industrial Systems. Simulation and Hardware Control (PID Design) The Inverted Pendulum. (ECP Systems-Model: 505)

EE 4443/5329. LAB 3: Control of Industrial Systems. Simulation and Hardware Control (PID Design) The Inverted Pendulum. (ECP Systems-Model: 505) EE 4443/5329 LAB 3: Control of Indutrial Sytem Simulation and Hardware Control (PID Deign) The Inverted Pendulum (ECP Sytem-Model: 505) Compiled by: Nitin Swamy Email: nwamy@lakehore.uta.edu Email: okuljaca@lakehore.uta.edu

More information

LOAD FREQUENCY CONTROL OF MULTI AREA INTERCONNECTED SYSTEM WITH TCPS AND DIVERSE SOURCES OF POWER GENERATION

LOAD FREQUENCY CONTROL OF MULTI AREA INTERCONNECTED SYSTEM WITH TCPS AND DIVERSE SOURCES OF POWER GENERATION G.J. E.D.T.,Vol.(6:93 (NovemberDecember, 03 ISSN: 39 793 LOAD FREQUENCY CONTROL OF MULTI AREA INTERCONNECTED SYSTEM WITH TCPS AND DIVERSE SOURCES OF POWER GENERATION C.Srinivaa Rao Dept. of EEE, G.Pullaiah

More information

Temperature Sensitive Paint Heat Flux Measurements in Hypersonic Tunnels

Temperature Sensitive Paint Heat Flux Measurements in Hypersonic Tunnels Temerature Senitive Paint Heat Flux Meaurement in Hyeronic Tunnel Tianhu Liu, Z. Cai, B. Wang Wetern Michigan Univerity, Kalamazoo, MI 49008 J. Rubal, J. P. Sullivan, S. Schneider Purdue Univerity, Wet

More information

Simulation model of Heat Transfer through the Wall

Simulation model of Heat Transfer through the Wall Proceeding of the International Conference on Alied Mathematic and Comutational Method Simulation model of Heat Tranfer through the Wall Jana Mižáková Stella Hrehová Aleander Hošovký Deartment of Mathematic

More information

POWER SYSTEM SMALL SIGNAL STABILITY ANALYSIS BASED ON TEST SIGNAL

POWER SYSTEM SMALL SIGNAL STABILITY ANALYSIS BASED ON TEST SIGNAL POWE YEM MALL INAL ABILIY ANALYI BAE ON E INAL Zheng Xu, Wei hao, Changchun Zhou Zheang Univerity, Hangzhou, 37 PChina Email: hvdc@ceezueducn Abtract - In thi paper, a method baed on ome tet ignal (et

More information

11.5 MAP Estimator MAP avoids this Computational Problem!

11.5 MAP Estimator MAP avoids this Computational Problem! .5 MAP timator ecall that the hit-or-mi cot function gave the MAP etimator it maimize the a oteriori PDF Q: Given that the MMS etimator i the mot natural one why would we conider the MAP etimator? A: If

More information

Modelling of pressure gradient in the space behind the projectile

Modelling of pressure gradient in the space behind the projectile Moelling of reure graient in the ace behin the rojectile Luěk JEDLIČKA, Stanilav BEER, Mirolav VÍDEŇKA Deartment of weaon an ammunition Univerity of Defence Kounicova 65, 65 00 BRNO 5 Czech Reublic Abtract:

More information

Gain and Phase Margins Based Delay Dependent Stability Analysis of Two- Area LFC System with Communication Delays

Gain and Phase Margins Based Delay Dependent Stability Analysis of Two- Area LFC System with Communication Delays Gain and Phae Margin Baed Delay Dependent Stability Analyi of Two- Area LFC Sytem with Communication Delay Şahin Sönmez and Saffet Ayaun Department of Electrical Engineering, Niğde Ömer Halidemir Univerity,

More information

Lecture 5 Introduction to control

Lecture 5 Introduction to control Lecture 5 Introduction to control Tranfer function reviited (Laplace tranform notation: ~jω) () i the Laplace tranform of v(t). Some rule: ) Proportionality: ()/ in () 0log log() v (t) *v in (t) () * in

More information

Chapter 3 : Transfer Functions Block Diagrams Signal Flow Graphs

Chapter 3 : Transfer Functions Block Diagrams Signal Flow Graphs Chapter 3 : Tranfer Function Block Diagram Signal Flow Graph 3.. Tranfer Function 3.. Block Diagram of Control Sytem 3.3. Signal Flow Graph 3.4. Maon Gain Formula 3.5. Example 3.6. Block Diagram to Signal

More information

Volume IV, Issue IX, September 2015 IJLTEMAS ISSN

Volume IV, Issue IX, September 2015 IJLTEMAS ISSN Volume IV, Iue IX, Setember 15 IJLEMAS ISSN 78-54 A Comutational Study of A Multi Solid Wall Heat Conduction Made U of Four Different Building Contruction Material Subected to Variou hermal Boundary Condition.

More information

Ali Karimpour Associate Professor Ferdowsi University of Mashhad

Ali Karimpour Associate Professor Ferdowsi University of Mashhad LINEAR CONTROL SYSTEMS Ali Karimour Aoiate Profeor Ferdowi Univerity of Mahhad Leture 0 Leture 0 Frequeny domain hart Toi to be overed inlude: Relative tability meaure for minimum hae ytem. ain margin.

More information

DESIGN AND ANALYSIS OF FLEXIBLE STRUCTURES WITH PARAMETRIC UNCERTAINTIES FOR ACTIVE VIBRATION CONTROL USING ANSYS

DESIGN AND ANALYSIS OF FLEXIBLE STRUCTURES WITH PARAMETRIC UNCERTAINTIES FOR ACTIVE VIBRATION CONTROL USING ANSYS INTERNATIONAL JOURNAL OF R&D IN ENGINEERING, SCIENCE AND MANAGEMENT Vol.1, Iue I, AUG.14 ISSN 9-85X Reearch Paer DESIGN AND ANALYSIS OF FLEXIBLE STRUCTURES WITH PARAMETRIC UNCERTAINTIES FOR ACTIVE VIBRATION

More information

Lecture 10. Erbium-doped fiber amplifier (EDFA) Raman amplifiers Have replaced semiconductor optical amplifiers in the course

Lecture 10. Erbium-doped fiber amplifier (EDFA) Raman amplifiers Have replaced semiconductor optical amplifiers in the course ecture 1 Two tye of otical amlifier: Erbium-doed fiber amlifier (EDFA) Raman amlifier Have relaced emiconductor otical amlifier in the coure Fiber Otical Communication ecture 1, Slide 1 Benefit and requirement

More information

Bandwidth expansion of a pressure control system for pneumatic anti-vibration apparatuses in presence of dead time

Bandwidth expansion of a pressure control system for pneumatic anti-vibration apparatuses in presence of dead time 23456789 Bulletin of the JSME Journal of Advanced Mechanical Deign, Sytem, and Manufacturing Vol.9, No.3, 25 Bandwidth exanion of a reure control ytem for neumatic anti-vibration aaratue in reence of dead

More information

ME2142/ME2142E Feedback Control Systems

ME2142/ME2142E Feedback Control Systems Root Locu Analyi Root Locu Analyi Conider the cloed-loop ytem R + E - G C B H The tranient repone, and tability, of the cloed-loop ytem i determined by the value of the root of the characteritic equation

More information

Simulation of Wound Rotor Synchronous Machine under Voltage Sags

Simulation of Wound Rotor Synchronous Machine under Voltage Sags Simulation of Wound Rotor Synchronou Machine under oltage Sag D. Aguilar, G. azquez, Student Member, IEEE, A. Rolan, Student Member, IEEE, J. Rocabert, Student Member, IEEE, F. Córcole, Member, IEEE, and

More information

Control Systems. Root locus.

Control Systems. Root locus. Control Sytem Root locu chibum@eoultech.ac.kr Outline Concet of Root Locu Contructing root locu Control Sytem Root Locu Stability and tranient reone i cloely related with the location of ole in -lane How

More information

Chapter III Robust Digital Controller Design Methods

Chapter III Robust Digital Controller Design Methods Chapter III obut Digital Controller Deign Metho I.D. Lanau, G. Zito - "Digital Control ytem" - Chapter 3 Chapter 3. obut Digital Controller Deign Metho 3. Introuction 3. Digital ID Controller 3.. tructure

More information

Replenishment Policy with Emergency Purchase and Partial Backorder

Replenishment Policy with Emergency Purchase and Partial Backorder r International Conference on Management, Behavioral Science an Economic Iue (ICMBSE'04) Feb. -, 04 Singaore Relenihment olicy with Emergency urchae an artial Backorer Hui Ming Wee, Yen Deng Huang, Simon

More information

Control Systems. Root locus.

Control Systems. Root locus. Control Sytem Root locu chibum@eoultech.ac.kr Outline Concet of Root Locu Contructing root locu Control Sytem Root Locu Stability and tranient reone i cloely related with the location of ole in -lane How

More information

Massachusetts Institute of Technology Dynamics and Control II

Massachusetts Institute of Technology Dynamics and Control II I E Maachuett Intitute of Technology Department of Mechanical Engineering 2.004 Dynamic and Control II Laboratory Seion 5: Elimination of Steady-State Error Uing Integral Control Action 1 Laboratory Objective:

More information

Mathematical and Intelligent Modeling of Electropneumatic Servo Actuator Systems

Mathematical and Intelligent Modeling of Electropneumatic Servo Actuator Systems Autralian Journal of Baic and Alied Science, 3(4): 3663-3671, 2009 ISSN 1991-8178 Mathematical and Intelligent Modeling of Electroneumatic Servo Actuator Sytem Hazem I. Ali, Samul Bahari B Mohd Noor, S.M.

More information

Efficiency Optimal of Inductive Power Transfer System Using the Genetic Algorithms Jikun Zhou *, Rong Zhang, Yi Zhang

Efficiency Optimal of Inductive Power Transfer System Using the Genetic Algorithms Jikun Zhou *, Rong Zhang, Yi Zhang International Conference on echanical Science and Engineering (ICSE5 Efficiency Otimal of Inductive Power Tranfer Sytem Uing the Genetic Algorithm Jikun Zhou *, ong Zhang, Yi Zhang Intitute of ytem engineering,

More information

System models. We look at LTI systems for the time being Time domain models

System models. We look at LTI systems for the time being Time domain models Stem moel We look at LTI tem for the time being Time omain moel High orer orinar ifferential equation moel Contain onl input variable, output variable, their erivative, an contant parameter Proper: highet

More information

URL (IET Digital Library):

URL (IET Digital Library): A. Bayo-Sala, J. Beerten, J. Rimez an D. Van Hertem, Impeance-bae tability aement of parallel VSC HVDC gri connection, Proc. IET International Conference on AC an DC Power Tranmiion ACDC 2015, 11th e.,

More information

A Comparative Study on Control Techniques of Non-square Matrix Distillation Column

A Comparative Study on Control Techniques of Non-square Matrix Distillation Column IJCTA, 8(3), 215, pp 1129-1136 International Science Pre A Comparative Study on Control Technique of Non-quare Matrix Ditillation Column 1 S Bhat Vinayambika, 2 S Shanmuga Priya, and 3 I Thirunavukkarau*

More information

Estimating Conditional Mean and Difference Between Conditional Mean and Conditional Median

Estimating Conditional Mean and Difference Between Conditional Mean and Conditional Median Etimating Conditional Mean and Difference Between Conditional Mean and Conditional Median Liang Peng Deartment of Ri Management and Inurance Georgia State Univerity and Qiwei Yao Deartment of Statitic,

More information

Analysis of Feedback Control Systems

Analysis of Feedback Control Systems Colorado Shool of Mine CHEN403 Feedbak Control Sytem Analyi of Feedbak Control Sytem ntrodution to Feedbak Control Sytem 1 Cloed oo Reone 3 Breaking Aart the Problem to Calulate the Overall Tranfer Funtion

More information

R. W. Erickson. Department of Electrical, Computer, and Energy Engineering University of Colorado, Boulder

R. W. Erickson. Department of Electrical, Computer, and Energy Engineering University of Colorado, Boulder R. W. Erickon Department of Electrical, Computer, and Energy Engineering Univerity of Colorado, Boulder ZOH: Sampled Data Sytem Example v T Sampler v* H Zero-order hold H v o e = 1 T 1 v *( ) = v( jkω

More information

Advanced D-Partitioning Analysis and its Comparison with the Kharitonov s Theorem Assessment

Advanced D-Partitioning Analysis and its Comparison with the Kharitonov s Theorem Assessment Journal of Multidiciplinary Engineering Science and Technology (JMEST) ISSN: 59- Vol. Iue, January - 5 Advanced D-Partitioning Analyi and it Comparion with the haritonov Theorem Aement amen M. Yanev Profeor,

More information

Practical issues of reverse time migration: true-amplitude gathers, noise removal and harmonic-source encoding

Practical issues of reverse time migration: true-amplitude gathers, noise removal and harmonic-source encoding Submiion number: 3784 Practical iue of revere time migration: true-amlitude gather, noie removal and harmonic-ource encoding Yu Zhang, CGGVerita, Houton Jame Sun, CGGVerita, Singaore Summary We analyze

More information

Assessment of Performance for Single Loop Control Systems

Assessment of Performance for Single Loop Control Systems Aement of Performance for Single Loop Control Sytem Hiao-Ping Huang and Jyh-Cheng Jeng Department of Chemical Engineering National Taiwan Univerity Taipei 1617, Taiwan Abtract Aement of performance in

More information

International Journal of Scientific & Engineering Research, Volume 7, Issue 11, November ISSN

International Journal of Scientific & Engineering Research, Volume 7, Issue 11, November ISSN International Journal of Scientific & Enineerin Reearch, Volume 7, Iue, November-6 6 ISSN 9-558 Numerical Analyi of Intenity and Phae Noie of Solitary AlGaA Semiconductor Laer Oeratin in Multimode Sazzad

More information

ECE 3510 Root Locus Design Examples. PI To eliminate steady-state error (for constant inputs) & perfect rejection of constant disturbances

ECE 3510 Root Locus Design Examples. PI To eliminate steady-state error (for constant inputs) & perfect rejection of constant disturbances ECE 350 Root Locu Deign Example Recall the imple crude ervo from lab G( ) 0 6.64 53.78 σ = = 3 23.473 PI To eliminate teady-tate error (for contant input) & perfect reection of contant diturbance Note:

More information

Stability. ME 344/144L Prof. R.G. Longoria Dynamic Systems and Controls/Lab. Department of Mechanical Engineering The University of Texas at Austin

Stability. ME 344/144L Prof. R.G. Longoria Dynamic Systems and Controls/Lab. Department of Mechanical Engineering The University of Texas at Austin Stability The tability of a ytem refer to it ability or tendency to eek a condition of tatic equilibrium after it ha been diturbed. If given a mall perturbation from the equilibrium, it i table if it return.

More information

DESIGN OF CONTROLLERS FOR STABLE AND UNSTABLE SYSTEMS WITH TIME DELAY

DESIGN OF CONTROLLERS FOR STABLE AND UNSTABLE SYSTEMS WITH TIME DELAY DESIGN OF CONTROLLERS FOR STABLE AND UNSTABLE SYSTEMS WITH TIME DELAY P. Dotál, V. Bobál Department of Proce Control, Facult of Technolog, Toma Bata Univerit in Zlín Nám. T. G. Maarka 75, 76 7 Zlín, Czech

More information

Nonlinear Control of Interior PMSM Using Control Lyapunov Functions

Nonlinear Control of Interior PMSM Using Control Lyapunov Functions Journal of Power an Energy Engineering, 24, 2, 7-26 Publihe Online January 24 (http://www.cirp.org/journal/jpee) http://x.oi.org/.4236/jpee.24.23 Nonlinear Control of Interior PMSM Uing Control yapunov

More information

MM1: Basic Concept (I): System and its Variables

MM1: Basic Concept (I): System and its Variables MM1: Baic Concept (I): Sytem and it Variable A ytem i a collection of component which are coordinated together to perform a function Sytem interact with their environment. The interaction i defined in

More information

Chapter 5 Consistency, Zero Stability, and the Dahlquist Equivalence Theorem

Chapter 5 Consistency, Zero Stability, and the Dahlquist Equivalence Theorem Chapter 5 Conitency, Zero Stability, and the Dahlquit Equivalence Theorem In Chapter 2 we dicued convergence of numerical method and gave an experimental method for finding the rate of convergence (aka,

More information

MODEL UNCERTAINTY AND ROBUST CONTROL OF PARALLELED DC/DC CONVERTERS

MODEL UNCERTAINTY AND ROBUST CONTROL OF PARALLELED DC/DC CONVERTERS MODEL UNCERAINY AND ROBUS CONROL OF PARALLELED DC/DC CONVERERS I. Gaoura,. Suntio, an K. Zenger Helinki Univerity of echnology, Control Engineering Laboratory, Epoo, FINLAND Univerity of Oulu, Electronic

More information

Modeling of a Steam Heated Rotating Cylinder A Grey-Box Approach

Modeling of a Steam Heated Rotating Cylinder A Grey-Box Approach Moeling of a Steam Heate Rotating Cyliner A Grey-Box Aroach Slätteke, Ola; Åtröm, Karl Johan Publihe in: Proceeing / American Control Conference DOI: 1.119/ACC.25.147169 Publihe: 25-1-1 Link to ublication

More information

Enhancement of Robust Tracking Performance via Switching Supervisory Adaptive Control

Enhancement of Robust Tracking Performance via Switching Supervisory Adaptive Control nhancement of Robut Tracking Performance via Switching Suerviory Adative Control Downloaded from ijeee.iut.ac.ir at 5:43 IRST on Saturday January 5th 9 O. Namaki-Shouhtari* and A. Khaki Sedigh* Abtract:

More information

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is EE 4G Note: Chapter 6 Intructor: Cheung More about ZSR and ZIR. Finding unknown initial condition: Given the following circuit with unknown initial capacitor voltage v0: F v0/ / Input xt 0Ω Output yt -

More information

MANUFACTURING TOLERANCES AS A CAUSE FOR AUDIBLE NOISE OF INDUCTION MOTORS

MANUFACTURING TOLERANCES AS A CAUSE FOR AUDIBLE NOISE OF INDUCTION MOTORS MANUFACTURING TOLERANCES AS A CAUSE FOR AUDIBLE NOISE OF INDUCTION MOTORS Delaere K., Franen J., Hameyer K., Belman R. Katholieke Univeriteit Leuven, De. EE (ESAT) Div. ELEN, Kardinaal Mercierlaan 94,

More information

Improved Adaptive Time Delay Estimation Algorithm Based on Fourth-order Cumulants

Improved Adaptive Time Delay Estimation Algorithm Based on Fourth-order Cumulants Available online www.jocr.com Journal of hemical and Pharmaceutical Reearch, 016, 8(5):889-894 Reearch Article ISSN : 0975-784 ODEN(USA) : JPR5 Imroved Adative Time Delay Etimation Algorithm Baed on Fourth-order

More information

RADIATION THERMOMETRY OF METAL IN HIGH TEMPERATURE FURNACE

RADIATION THERMOMETRY OF METAL IN HIGH TEMPERATURE FURNACE XVII IMEKO World Congre Metrology in the 3rd Millennium June 22 27, 2003, Dubrovnik, Croatia RADIATION THERMOMETRY OF METAL IN HIGH TEMPERATURE FURNACE Tohru Iuchi, Tohru Furukawa and Nobuharu Sato Deartment

More information

Torque Ripple minimization techniques in direct torque control induction motor drive

Torque Ripple minimization techniques in direct torque control induction motor drive orque Ripple minimization technique in irect torque control inuction motor rive inoini Bhole At.Profeor, Electrical Department College of Engineering, Pune, INDIA vbb.elec@coep.ac.in B.N.Chauhari Profeor,Electrical

More information

CHAPTER 4 DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL

CHAPTER 4 DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL 98 CHAPTER DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL INTRODUCTION The deign of ytem uing tate pace model for the deign i called a modern control deign and it i

More information

The stabilization interval system of a tethered descent underwater vehicle

The stabilization interval system of a tethered descent underwater vehicle IOP Conference Serie: Material Science and Engineering PAPER OPEN ACCESS The tabilization interval ytem of a tethered decent underwater vehicle To cite thi article: S A Gayvoronkiy et al 016 IOP Conf.

More information

Parameter Analysis of the Low-Power MCML

Parameter Analysis of the Low-Power MCML 20 International Conference on Circuit, Sytem an Simulation IPCSIT ol.7 (20) (20) IACSIT Pre, Singapore Parameter Analyi of the Low-Power MCML Dan Zhang, Wei Wu 2 an Yifei Wang 3 College of Science, Shanghai

More information

A New Smith Predictor and Fuzzy Immune Control for Hybrid Networked Control Systems

A New Smith Predictor and Fuzzy Immune Control for Hybrid Networked Control Systems Proceeding of the International MultiConference of Engineer and Comuter Scientit 29 Vol II IMECS 29, March 8-2, 29, Hong Kong A New Smith Predictor and Fuzzy Immune Control for Hybrid Networked Control

More information

Designing Control Loops for Linear and Switching Power Supplies: A Tutorial Guide Christophe Basso October 2012 Last update March 3 rd 2014

Designing Control Loops for Linear and Switching Power Supplies: A Tutorial Guide Christophe Basso October 2012 Last update March 3 rd 2014 Deigning Control Loo for Linear and Switching Power Sulie: A Tutorial Guide Chritohe Bao October Lat udate March 3 rd 4 Correction of tyo, mitake and error found by reader or by the author himelf. Secial

More information

Tris(hydroxymethyl)aminomethane Modified Layered Double. Hydroxides Largely Facilitate Polyoxometalate Intercalation

Tris(hydroxymethyl)aminomethane Modified Layered Double. Hydroxides Largely Facilitate Polyoxometalate Intercalation Electronic Sulementary Material (ESI) for Dalton Tranaction. Thi journal i The Royal Society of Chemitry 214 Suorting Information Tri(hyroxymethyl)aminomethane Moifie Layere Double Hyroxie Largely Facilitate

More information

Electrical and Control Aspects of Offshore Wind Farms II (Erao II)

Electrical and Control Aspects of Offshore Wind Farms II (Erao II) ECN-C- -04-050 Electrical an Control Apect of Offhore Win Farm II (Erao II) Volume : Dynamic moel of win farm J.T.G. Pierik (ECN) J. Morren (TUD) E.J. Wiggelinkhuizen (ECN) S.W.H. e Haan (TUD) T.G. van

More information

Control Systems Engineering ( Chapter 7. Steady-State Errors ) Prof. Kwang-Chun Ho Tel: Fax:

Control Systems Engineering ( Chapter 7. Steady-State Errors ) Prof. Kwang-Chun Ho Tel: Fax: Control Sytem Engineering ( Chapter 7. Steady-State Error Prof. Kwang-Chun Ho kwangho@hanung.ac.kr Tel: 0-760-453 Fax:0-760-4435 Introduction In thi leon, you will learn the following : How to find the

More information

Simulation Study on the Shock Properties of the Double-Degree-of-Freedom Cushioning Packaging System

Simulation Study on the Shock Properties of the Double-Degree-of-Freedom Cushioning Packaging System Proceeding of the 7th IAPRI World Conference on Packaging Simulation Study on the Shock Propertie of the Double-Degree-of-Freedom Cuhioning Packaging Sytem Xia Zhu, Qiaoqiao Yan, Xiaoling Yao, Junbin Chen,

More information

Root Locus Contents. Root locus, sketching algorithm. Root locus, examples. Root locus, proofs. Root locus, control examples

Root Locus Contents. Root locus, sketching algorithm. Root locus, examples. Root locus, proofs. Root locus, control examples Root Locu Content Root locu, ketching algorithm Root locu, example Root locu, proof Root locu, control example Root locu, influence of zero and pole Root locu, lead lag controller deign 9 Spring ME45 -

More information

Internal Model Control

Internal Model Control Internal Model Control Part o a et o leture note on Introdution to Robut Control by Ming T. Tham 2002 The Internal Model Prinile The Internal Model Control hiloohy relie on the Internal Model Prinile,

More information

The Performance of Feedback Control Systems

The Performance of Feedback Control Systems The Performace of Feedbac Cotrol Sytem Objective:. Secify the meaure of erformace time-domai the firt te i the deig roce Percet overhoot / Settlig time T / Time to rie / Steady-tate error e. ut igal uch

More information

Constant Force: Projectile Motion

Constant Force: Projectile Motion Contant Force: Projectile Motion Abtract In thi lab, you will launch an object with a pecific initial velocity (magnitude and direction) and determine the angle at which the range i a maximum. Other tak,

More information

Feedback Control Systems (FCS)

Feedback Control Systems (FCS) Feedback Control Sytem (FCS) Lecture19-20 Routh-Herwitz Stability Criterion Dr. Imtiaz Huain email: imtiaz.huain@faculty.muet.edu.pk URL :http://imtiazhuainkalwar.weebly.com/ Stability of Higher Order

More information

715. Transients in the electromagnetic actuator with the controlled supplier

715. Transients in the electromagnetic actuator with the controlled supplier 75. Tranient in the electromagnetic actuator with the controlled upplier Broniław Tomczuk, Andrzej Waindok, Dawid Wajnert Opole Univerity of Technology, Department of Indutrial Electrical Engineering Prozkowka

More information

THE IDENTIFICATION OF THE OPERATING REGIMES OF THE CONTROLLERS BY THE HELP OF THE PHASE TRAJECTORY

THE IDENTIFICATION OF THE OPERATING REGIMES OF THE CONTROLLERS BY THE HELP OF THE PHASE TRAJECTORY Mariu M. B LA Aurel Vlaicu Univerity of Arad, Engineering Faculty Bd. Revolu iei nr. 77, 3030, Arad, Romania, E-mail: mariu.bala@ieee.org THE IDENTIFICATION OF THE OPERATING REGIMES OF THE CONTROLLERS

More information

High Precision Feedback Control Design for Dual-Actuator Systems

High Precision Feedback Control Design for Dual-Actuator Systems Proceeding of the 25 IEEE Conference on Control Alication Toronto, Canada, Augut 28-31, 25 TC1.2 High Preciion Feedback Control Deign for Dual-Actuator Sytem Tielong Shen and Minyue Fu Abtract Dual-actuator

More information

Chapter 7. Root Locus Analysis

Chapter 7. Root Locus Analysis Chapter 7 Root Locu Analyi jw + KGH ( ) GH ( ) - K 0 z O 4 p 2 p 3 p Root Locu Analyi The root of the cloed-loop characteritic equation define the ytem characteritic repone. Their location in the complex

More information

Investigating Efficiency of a Five-Mass Electromechanical System having Damping Friction, Elastic Coupling and Clearance

Investigating Efficiency of a Five-Mass Electromechanical System having Damping Friction, Elastic Coupling and Clearance Invetigating Efficiency of a Five-Ma Electromechanical Sytem having Damping Friction Elatic oupling and learance Mr. Aboah Boateng Emmanuel Student (BSc. Electrical and Electronic Engineering Department

More information

Active Disturbance Rejection Control for an Electro-statically Actuated MEMS Device

Active Disturbance Rejection Control for an Electro-statically Actuated MEMS Device INTERNATIONAL JOURNAL OF INTELLIGENT CONTROL AND SYSTEMS VOL.6NO.Setember/December 6-69 Active Diturbance Rejection Control for an Electro-tatically Actuated MEMS Device Lili DONG and Jaon EDWARDS Abtract

More information

Dynamic System Modelling of Multiloop Operation for Paralleled DC/DC Converters

Dynamic System Modelling of Multiloop Operation for Paralleled DC/DC Converters Dynaic Syte oelling of ultiloo Oeration for Parallele DC/DC Converter * Iri aoura, ** euvo Suntio, * Kai Zenger * Helinki Univerity of echnology Control Engineering aboratory, P.O.Box 54, 5 HU, Finlan

More information

Convergence Analysis of Terminal ILC in the z Domain

Convergence Analysis of Terminal ILC in the z Domain 25 American Control Conference June 8-, 25 Portlan, OR, USA WeA63 Convergence Analysis of erminal LC in the Domain Guy Gauthier, an Benoit Boulet, Member, EEE Abstract his aer shows how we can aly -transform

More information

Chapter 13. Root Locus Introduction

Chapter 13. Root Locus Introduction Chapter 13 Root Locu 13.1 Introduction In the previou chapter we had a glimpe of controller deign iue through ome imple example. Obviouly when we have higher order ytem, uch imple deign technique will

More information

Design Techniques for CMOS Broadband Amplifiers

Design Techniques for CMOS Broadband Amplifiers Deign Technique for MOS Broaban Amlifier Shawn S. H. Hu an Allen J. D. Jin High-ee Device an Integrate ircuit Grou Electrical Engineering an Intitute of Electronic Engineering National Ting Hua Univerity,

More information

Artificial Neural Network to Improve Speed Control of Permanent Magnet Synchronous Motor

Artificial Neural Network to Improve Speed Control of Permanent Magnet Synchronous Motor Proceeing o the 6th WSEAS/IASME Int. Con. on Electric Power Sytem, High Voltage, Electric Machine, Tenerie, Spain, December 16-18, 2006 94 Artiicial Neural Network to Improve Spee Control o Permanent Magnet

More information

Numerical Simulation of Triaxial Compression Stress Paths Tests for Unsaturated Soil

Numerical Simulation of Triaxial Compression Stress Paths Tests for Unsaturated Soil Numerical Simulation of Triaxial Comreion Stre Path Tet for Unaturated Soil Dong Jian-jun Key Laboratory Of Mechanical Reliability For Heavy Equiment And Large Structure of Hebei Province, Yanhan Univerity,

More information

ME 3560 Fluid Mechanics

ME 3560 Fluid Mechanics Sring 018 ME 3560 Fluid Mechanic Chater III. Elementary Fluid Dynamic The Bernoulli Equation 1 Sring 018 3.1 Newton Second Law A fluid article can exerience acceleration or deceleration a it move from

More information

arxiv: v1 [cs.sy] 14 Jan 2017

arxiv: v1 [cs.sy] 14 Jan 2017 Moeling an Control of A Cable-Driven Serie Elatic Actuator Wulin Zou,2, Ningbo Yu,2. Intitute of Robotic an Automatic Information Sytem, Nankai Univerity, Tianjin 300353, P. R. China 2. Tianjin ey Laboratory

More information

NODIA AND COMPANY. GATE SOLVED PAPER Electronics & Communication Control System. Copyright By NODIA & COMPANY

NODIA AND COMPANY. GATE SOLVED PAPER Electronics & Communication Control System. Copyright By NODIA & COMPANY No art of thi ublication may be reroduced ditributed in any fm any mean, electronic, mechanical, hotocoying, otherwie without the ri ermiion of the auth. ATE OLVED PAPER Electronic & Communication Control

More information

Saliency Modeling in Radial Flux Permanent Magnet Synchronous Machines

Saliency Modeling in Radial Flux Permanent Magnet Synchronous Machines NORPIE 4, Tronheim, Norway Saliency Moeling in Raial Flux Permanent Magnet Synchronou Machine Abtract Senorle control of Permanent Magnet Synchronou Machine i popular for everal reaon: cot aving an ytem

More information