International Journal of Advance Research in Computer Science and Management Studies

Similar documents
Encoders. Understanding. November design for industry: Help clean up the ocean. Horizon failure forensics

DC Motor Position: System Modeling

TEMPERATURE EFFECTS ON MOTOR PERFORMANCE

Example: DC Motor Speed Modeling

MATHEMATICAL MODELING OF OPEN LOOP PMDC MOTOR USING MATLAB/SIMULINK

Example: Modeling DC Motor Position Physical Setup System Equations Design Requirements MATLAB Representation and Open-Loop Response

Mechatronics Engineering. Li Wen

ENGG4420 LECTURE 7. CHAPTER 1 BY RADU MURESAN Page 1. September :29 PM

School of Mechanical Engineering Purdue University. ME375 ElectroMechanical - 1

Lab 3: Quanser Hardware and Proportional Control

Quanser NI-ELVIS Trainer (QNET) Series: QNET Experiment #02: DC Motor Position Control. DC Motor Control Trainer (DCMCT) Student Manual

FEEDBACK CONTROL SYSTEMS

Motor Info on the WWW Motorola Motors DC motor» /MOTORDCTUT.

Introduction to Control (034040) lecture no. 2

Equal Pitch and Unequal Pitch:

Texas A & M University Department of Mechanical Engineering MEEN 364 Dynamic Systems and Controls Dr. Alexander G. Parlos

ME 3210 Mechatronics II Laboratory Lab 4: DC Motor Characteristics

JRE SCHOOL OF Engineering

INC 341 Feedback Control Systems: Lecture 3 Transfer Function of Dynamic Systems II

SRV02-Series Rotary Experiment # 1. Position Control. Student Handout

Predictive Cascade Control of DC Motor

Introduction. Energy is needed in different forms: Light bulbs and heaters need electrical energy Fans and rolling miles need mechanical energy

Revision Guide for Chapter 15

Overview of motors and motion control

Mathematical Modeling and Dynamic Simulation of a Class of Drive Systems with Permanent Magnet Synchronous Motors

EE 410/510: Electromechanical Systems Chapter 4

3 Lab 3: DC Motor Transfer Function Estimation by Explicit Measurement

E11 Lecture 13: Motors. Professor Lape Fall 2010

Lab 3: Model based Position Control of a Cart

Step Motor Modeling. Step Motor Modeling K. Craig 1

King Saud University

EDEXCEL NATIONALS UNIT 5 - ELECTRICAL AND ELECTRONIC PRINCIPLES. ASSIGNMENT No. 3 - ELECTRO MAGNETIC INDUCTION

Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science Electric Machines

1439. Numerical simulation of the magnetic field and electromagnetic vibration analysis of the AC permanent-magnet synchronous motor

PESIT Bangalore South Campus Hosur road, 1km before Electronic City, Bengaluru -100 Department of Electronics & Communication Engineering

System Modeling: Motor position, θ The physical parameters for the dc motor are:

(a) Torsional spring-mass system. (b) Spring element.

Rotational Systems, Gears, and DC Servo Motors

Mathematical Modeling and Dynamic Simulation of DC Motors using MATLAB/Simulink Environment

Revision Guide for Chapter 15

Rotary Motion Servo Plant: SRV02. Rotary Experiment #11: 1-DOF Torsion. 1-DOF Torsion Position Control using QuaRC. Student Manual

DcMotor_ Model Help File

The basic principle to be used in mechanical systems to derive a mathematical model is Newton s law,

MODELING AND HIGH-PERFORMANCE CONTROL OF ELECTRIC MACHINES

Tutorial 1 - Drive fundamentals and DC motor characteristics

ADMISSION TEST INDUSTRIAL AUTOMATION ENGINEERING

Mathematical Modelling of Permanent Magnet Synchronous Motor with Rotor Frame of Reference

R10 JNTUWORLD B 1 M 1 K 2 M 2. f(t) Figure 1

DYNAMIC ANALYSIS OF DRIVE MECHANISM WITH FUNCTIONAL MODEL

International Journal of Advance Engineering and Research Development SIMULATION OF FIELD ORIENTED CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR

Mechatronic System Case Study: Rotary Inverted Pendulum Dynamic System Investigation

Video 5.1 Vijay Kumar and Ani Hsieh

(Refer Slide Time: 00:01:30 min)

ET3-7: Modelling I(V) Introduction and Objectives. Electrical, Mechanical and Thermal Systems

Optimization of PI Parameters for Speed Controller of a Permanent Magnet Synchronous Motor by using Particle Swarm Optimization Technique

Full Order Observer Controller Design for DC Motor Based on State Space Approach

ISSN: (Online) Volume 2, Issue 2, February 2014 International Journal of Advance Research in Computer Science and Management Studies

Positioning Servo Design Example

Dynamic Performance Analysis of Permanent Magnet Hybrid Stepper Motor by Transfer Function Model for Different Design Topologies

-magnetic dipoles are largely analogous to electric dipole moments -both types of dipoles

MCE380: Measurements and Instrumentation Lab. Chapter 5: Electromechanical Transducers

Definition Application of electrical machines Electromagnetism: review Analogies between electric and magnetic circuits Faraday s Law Electromagnetic

Rotary Motion Servo Plant: SRV02. Rotary Experiment #01: Modeling. SRV02 Modeling using QuaRC. Student Manual

Analytical Model for Sizing the Magnets of Permanent Magnet Synchronous Machines

Automatic Control Systems. -Lecture Note 15-

Stepping Motors. Chapter 11 L E L F L D

Lezione 9 30 March. Scribes: Arianna Marangon, Matteo Vitturi, Riccardo Prota

An Introduction to Electrical Machines. P. Di Barba, University of Pavia, Italy

Feedback Control Systems

6) Motors and Encoders

LO-COG DC Gearmotors. Series GM8000. Series GM9000. Series GM BULLETIN LCG Series GM8000, GM9000, GM Power Your Ideas

DESIGN AND MODELLING OF SENSORLESS VECTOR CONTROLLED INDUCTION MOTOR USING MODEL REFERENCE ADAPTIVE SYSTEMS

Motor-CAD combined electromagnetic and thermal model (January 2015)

PID Control. Objectives

Applied Electronics and Electrical Machines

Loss analysis of a 1 MW class HTS synchronous motor

Modeling Free Acceleration of a Salient Synchronous Machine Using Two-Axis Theory

Revised October 6, EEL 3211 ( 2008, H. Zmuda) 7. DC Machines 1

SIMULATION OF STEADY-STATE PERFORMANCE OF THREE PHASE INDUCTION MOTOR BY MATLAB

2002 Prentice Hall, Inc. Gene F. Franklin, J. David Powell, Abbas Emami-Naeini Feedback Control of Dynamic Systems, 4e

Prince Sattam bin Abdulaziz University College of Engineering. Electrical Engineering Department EE 3360 Electrical Machines (II)

Modeling of Belt-Pulley and Flexible Coupling Effects on Submarine Driven System Electrical Motors

Real-Time Implementation of a LQR-Based Controller for the Stabilization of a Double Inverted Pendulum

ELECTRICALMACHINES-I QUESTUION BANK

UNIVERSITY OF BOLTON SCHOOL OF ENGINEERING BSC (HONS) MECHATRONICS TOP-UP SEMESTER 1 EXAMINATION 2017/2018 ADVANCED MECHATRONIC SYSTEMS

Chapter 6: Efficiency and Heating. 9/18/2003 Electromechanical Dynamics 1

Sensorless Field Oriented Control of Permanent Magnet Synchronous Motor

Parameter Prediction and Modelling Methods for Traction Motor of Hybrid Electric Vehicle

a. Type 0 system. b. Type I system. c. Type 2 system. d. Type 3 system.

Chapter three. Mathematical Modeling of mechanical end electrical systems. Laith Batarseh

Modelling of Ball and Plate System Based on First Principle Model and Optimal Control

Lesson 17: Synchronous Machines

Anakapalli Andhra Pradesh, India I. INTRODUCTION

IEEE Transactions on Applied Superconductivity. Copyright IEEE.

Exam IV, Magnetism May 1 st, Exam IV, Magnetism

Name: Class: Date: Multiple Choice Identify the letter of the choice that best completes the statement or answers the question.

Static Analysis of 18-Slot/16-Pole Permanent Magnet Synchronous Motor Using FEA

Exercise 5 - Hydraulic Turbines and Electromagnetic Systems

UNIT I INTRODUCTION Part A- Two marks questions

Parameter Estimation of Three Phase Squirrel Cage Induction Motor

Transcription:

Volume 2, Issue 9, September 2014 ISSN: 2321 7782 (Online) International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online at: www.ijarcsms.com Effect of plant parameter variation on feedback control loop (DC motor temperature effect model) Musaab Ali mohammed Sidahmed 1 PG student Control Engineering Department, Faculty of Engineering AL Neelain University Khartoum Sudan Muawia Mohamed Ahmed Mahmoud 2 Associate Professor Control Engineering AL Neelain University Khartoum Sudan Abstract: The variation of system parameters in field of control represents a series problem. This variation should be determined and measured. This paper focuses on the effects of temperature variation on DC motor. This effect is usually not considered by the designers of control system, which may lead to misleading in the controller design. Keywords: DC motor; temperature; parameter variation; feedback. I. INTRODUCTION DC motor is a power actuator which converts electrical energy into mechanical energy. DC motor is used in many applications. The greatest advantage of dc motors control may be the speed control. The term speed control stand for speed variation carried out manually or automatically. DC motors are most suitable for wide range speed control and are therefore used in many adjustable speed produced by its poles, adjusting the armature voltage and/or the field current will change the rotor speed. DC motors have been widely used in many industrial applications such as electric vehicles, steel rolling mills, electric cranes, and robotic manipulators due to precise, wide, simple, and continuous control characteristics [3]. One of the problems facing the operation of the dc motor is the temperature rising during operation. The increase in temperature leads to some deviation in the internal parameters of the dc motor transfer function. The following sections of the paper study this variation and describe its effect. II. DC MOTOR MODELING A common actuator in control system is the DC motor. It directly Provides rotary motion and, coupled with wheels or drums and cables, can provide transitional motion. The electric circuit of the armature and the free body diagram of the rotor are shown in the Fig. 1. Fig. 1 DC motor modelling The motor torque, T, is related to the armature current,, by a constant factor Kt. The back emf rotational velocity by the constant factor as in the following equations: is related to the (1) The motor back emf, which is also known as speed voltage, is expressed as: 2014, IJARCSMS All Rights Reserved 384 P age

(2) The torque developed by the motor: Substituting equations (2) in (1) and (3) in (4) (3) (4) (5) (6) Used Laplace transforms of equations (5) and (6) (7) (8) Simplification and eliminating the current from equations and get the result (9) The transfer function from the input armature voltagev_a (s), to the rotational speed in (rad/sec)ω(s), directly follows: (10) Armature voltage (V) Armature resistance (Ω) Armature current (A) W Armature inductance angular speed Motor torque (H) (rad/s) (Nm/A) Motor inertia (kg ) Viscous fraction constant (Nms/rad) Torque constant (Nm/A) Back emf constant (vs/rad) III. EFFECT OF T EMPERATURE ON DC MOTOR TRANSFER FUNCTION The phrase motor constants, however, is somewhat of a misnomer. Winding resistance and permanent magnet flux density will change as temperature changes. As the motor temperature increases, winding resistance will increase based on the temperature coefficien t of copper. The flux density of the permanent magnets will also decrease as a function of temperature. This will lead an effect of dc motor performance during operation under varies temperature.[1] 2014, IJARCSMS All Rights Reserved ISSN: 2321 7782 (Online) 385 P age

A. Temperature Effects of Motor Winding Resistance Motor winding resistance ( ) is the main cause of heat generation within the motor. In order for any electric motor to generate torque, current needs to be forced through the motor windings. Copper is an excellent conductor, however, it s not perfect; material physics and impurities will cause the atoms to vibrate at a faster rate as more current flows. The result is a steady temperature increase in temperature increases, the resistance of the material also increases as a function of the type of conductor used. Electric motors typically use copper conductor material, follow Equation illustrate the relationship between winding temperature, winding resistance[1]. [1+ ( _ ) (11) Temperature coefficient for copper which is 0.0040 winding Resistance at 25 for copper which is 0.59Ω B. Temperature Effects on Magnetic Flux Density The motor torque constant ( ) and voltage constant ( ) are directly related to the magnetic flux density ( ) of the permanent magnets. Depending on th e physics of the magnet material used, overall flux density will change at a given percentage with an increase in magnet temperature. As the material temperature increases, atomic vibrations cause once-aligned magnetic moments to randomize resulting in a decrease in magnetic flux density. Assuming the motor is operating within its intended design window, the decrease in flux density is temporary and will begin to recover as the magnet cools. If the maximum temperature rating of the magnets is exceeded, however, partial demagnetization will occur and permanently alter the performance of the motor.[1] [1+ ( _ )] (12) Temperature coefficient for permanent magnet which is -0.0020 for copper Motor torque and voltage continent which is 0.71 at temp 25 IV. FEEDBACK CHARACTERISTICS Estimated motor characteristics at elevated temperature of 125 Usin g the equations (11) & (12) to find the value of & at 125. 59Ω 1.0040125 25].83Ω 0.71 1 0. 0020125 25 0.057 Substituting the real value of & into the transfer function equation (10) At temperature 25 the real transfer function for DC motor will be as.... (13) At temperature 125 the transfer function will be as 2014, IJARCSMS All Rights Reserved ISSN: 2321 7782 (Online) 386 P age

.... (14) applying feedback control to the transfer function of dc motor at temperature 25& 125 at temperature 25 the controlled system will be as At temperature 125 the controlled system will be as. 1 (15).... 2... (16) Mat labs Plot for two controlled systems are shown in Fig 2. V. RESULTS Fig. 2 Mat lap plot for 1 and 2 As shown in the table there are some differences in system response when temperature increase to 125 the rise time will increase with small value, this will also lead to decrease the peak amplitude of the system response, noted that the settling time is fixed for both responses of the systems, also the differences seem small but have considerable effect on control design process. Knowing that for high power DC motor this effect will be greater. Controlled System at Temperature () TABLE 1. Characteristics of step response of effected and unaffected systems 25 0.72 1.28 125 0.713 1.28 Rise Time (s) Settling Tim e (s) Peak AMP& Overshoot PEAK AMP 0.525 OVERS HOOT %:2.22 PEAK AMP 0.398 OVER SHOOT(%):0 2014, IJARCSMS All Rights Reserved ISSN: 2321 7782 (Online) 387 P age

VI. CONCLUSION From the previous discussed cases, it is clear that changing in temperature due to actual operation for a well defined period of time has an effect on DC motor performance after applying feedback control, so the theoretical treatment of DC motor characteristics could not obtain the desired performance of DC motor. However the controller designers should take the variations of these parameters into account. References 1. Dan Montone Haydon Kerk Motion Solutions www.pitmanmotors.com, accessed on 24 sep 2014 2. http://ctms.engin.umich.edu/ctms/index.php?example=introduction&section=controlpid#1 3. Hénao H., Capolino G. A., "Methodologies application du diagnostic pour les systèmes électriques, Article 'Electricité", French, Jun. 2002 4. http://www.electrical4u.com/construction-of-dc-motor-yoke-poles-armature-field-winding-commutator-brushes-of-dc-motor /#1on 1 march 2014 5. S. J. Chapman, Electric Machinery Fundamentals", WCB/Mc Graw, Hill, New York, 1998. 6. J. David Irwin power electronics handbook, Prentice Hall, academic PRESS, Canada, 2001 2014, IJARCSMS All Rights Reserved ISSN: 2321 7782 (Online) 388 P age