Hybrid Speed Control of Sensorless Brushless Dc Motor with Fuzzy-Based Estimation

Hybrid Speed Control of Sensorless Brushless Dc Motor with Fuzzy-Based Estimation
Author: B. Mahesh Kumar
Publisher:
Total Pages: 0
Release: 2012
Genre:
ISBN:

This paper describes a simple way to control the Brushless DC (BLDC) motor for electrical applications. To control this machine, it is generally required to measure the speed and position of the rotor by using the sensor, because the inverter phases acting at any time must be commutated depending on the rotor position. Encoders and resolvers have been used for sensing the rotor position with respect to the stator. These sensors, however, make the motor system more complicated and mechanically unreliable. A method for the estimation of the speed and rotor position of a BLDC motor is presented in this paper. Fuzzy-based back-EMF observer is employed to estimate the speed by using measurements of the stator line voltage and line current. Most existing sensorless methods of the BLDC motor have low performance in a transient state or low-speed range and occasionally require an additional circuit. To overcome this problem, the estimation of back-EMF is carried out by fuzzy logic techniques to improve the performance of the system. This method proposes a back-EMF observer based on fuzzy function approximation and the system state equation of the BLDC motor and describes a fuzzy logic approach to design a Hybrid Controller (HC) for variable speeds of a BLDC motor. Here, Proportional Integral (PI) controller is tuned by the fuzzy logic technique. The fuzzy logic tuner is used to adjust the two gains of the PI controller. In this approach, the fuzzy tuning of the gains of a conventional PI controller is achieved through fuzzy rules deduced from many simulation tests applied to BLDC motor, for a variety of operating conditions. Experimental results show that the proposed fuzzy-tuning PI controller is better than the controller with fixed gains in terms of robustness and speed rise time even under great variations of operating conditions and load disturbance.

Speed Control of Sensorless Brushless DC Motor

Speed Control of Sensorless Brushless DC Motor
Author: MD Sabbir Ahmed
Publisher:
Total Pages: 64
Release: 2018-11-22
Genre:
ISBN: 9781790101184

This book is all about running a brushless DC motor using a sensorless technique. The target of the work was to make a very simple operating method for a brushless motor and formulate a speed control mechanism. Initially the work was started with both considering back-EMF and without considering back-EMF. Because of more complexity in the back-EMF sensing method, and as our intention was to make a simpler and cost effective operation, so finally we assembled our project the without back-EMF sensing. Even though being a simple and inexpensive machine, the performance was quite good. However adding back-EMF sensing in this machine can give it more dependability.TABLE OF CONTENTS: DECLARATIONIAPPROVALIIACKNOWLEDGEMENTIIILIST OF FIGURESVIIABSTRACTIXCHAPTER 1INTRODUCTION101.1.Introduction101.2.Historical Background101.3.Advantage over Traditional Method111.4.Objective of this Work121.4.1.Primary objectives121.4.2.Secondary Objectives121.5.Introduction to this Thesis12CHAPTER 2BRUSHLESS DC MOTOR142.1.Introduction142.2.Comparison of Brushless motor with brushed motors152.3.Structure of a BLDC152.3.1.Stator162.3.2.Rotor172.4.Operating Principle182.4.1.Sensored Commutation192.4.2.Conventional Control Method Using Hall-effect Sensors202.4.3.Sensorless Control222.5.Applications232.6.Summary24CHAPTER 3MOTOR DRIVE SYSTEMS253.1.Introduction253.2.Components of Drive Electronics253.3.Inverter263.3.1.Three-Phase Inverter263.3.1.1.120-Degree Conduction273.3.1.2.180-Degree Conduction293.4.Speed Control Techniques303.4.1.Open Loop Speed Control313.4.2.Closed Loop Speed Control313.4.2.1.Proportional-Integral (PI) Controller323.5.PWM based Methods333.5.1.Conventional 120° PWM technique333.5.2.PWM Duty Cycle Calculation333.6.Summary34CHAPTER 4SIMULATION354.1.Introduction354.2.Simulation354.2.1.Simulating Three-Phase Inverter364.2.2.Simulating Controller Unit384.3.Simulation Results394.3.1.Speed Control404.4.Summary40CHAPTER 5HARDWARE IMPLEMENTATION415.1.Introduction415.2.Equipments and Components425.3.Power Supply Unit435.4.Microcontroller Unit445.5.Motor Drive Unit455.6.Performance of the System465.7.Summary47CHAPTER 6DISCUSSIONS AND CONCLUSIONS486.1.Discussions486.2.Suggestion for future Work496.2.1.Limitations496.2.2.Future Scope496.3.Conclusions50REFERENCES51APPENDIX A53SPEED CONTROL FLOWCHART53APPENDIX B54MICROCONTROLLER CODES54APPENDIX C55ATMEGA32 (MICROCONTROLLER)556.3.1.Pin Descriptions556.3.2.Block Diagram586.3.3.Electrical Characteristics59APPENDIX D60L298 (DUAL FULL-BRIDGE DRIVER)606.3.4.Pin Configurations606.3.5.Maximum Ratings61

Improved Indirect Power Control (IDPC) of Wind Energy Conversion Systems (WECS)

Improved Indirect Power Control (IDPC) of Wind Energy Conversion Systems (WECS)
Author: Fayssal Amrane
Publisher: Bentham Science Publishers
Total Pages: 148
Release: 2019-07-26
Genre: Technology & Engineering
ISBN: 9811412669

Wind power capacity in the world has been increased by more than 30% over the last decade in countries which have prominent installations. Wind energy conversion systems (WECSs) based on the doubly-fed induction generator (DFIG) have dominated the wind power generation sector due to the outstanding advantages they provide, including small converter ratings (around 30% of the generator rating) and lower converter costs. Due to the non-linearity of wind power systems, the DFIG power control setup presents a big challenge especially under conditions of high variance in wind-speed and parameter sensing. To overcome these major problems, an improved IDPC (Indirect Power Control) system based on PID (Proportional-Integral-Derivative) controller, has been proposed instead of the conventional power inverters. This handbook covers information about IDPC based WECS. The book starts with a general introduction to wind power system basics. Subsequent chapters provide additional knowledge about robustness tests and adaptive / intelligent control systems employed in wind energy systems. The new concept of direct and quadrature current control (Ird & Irq) under MPPT (Maximum Power Point Tracking) strategy is also explained along with novel fuzzy logic type control systems. The authors have included detailed diagrams and an appendix of WECS parameters, making this handbook a useful primer for engineering students working towards completing licenses, Masters degrees and Post-graduation programs in advanced wind power energy systems.

Permanent Magnet Brushless DC Motor Drives and Controls

Permanent Magnet Brushless DC Motor Drives and Controls
Author: Chang-liang Xia
Publisher: John Wiley & Sons
Total Pages: 306
Release: 2012-04-24
Genre: Technology & Engineering
ISBN: 1118188365

An advanced introduction to the simulation and hardware implementation of BLDC motor drives A thorough reference on the simulation and hardware implementation of BLDC motor drives, this book covers recent advances in the control of BLDC motor drives, including intelligent control, sensorless control, torque ripple reduction and hardware implementation. With the guidance of the expert author team, readers will understand the principle, modelling, design and control of BLDC motor drives. The advanced control methods and new achievements of BLDC motor drives, of interest to more advanced readers, are also presented. Focuses on the control of PM brushless DC motors, giving readers the foundations to the topic that they can build on through more advanced reading Systematically guides readers through the subject, introducing basic operational principles before moving on to advanced control algorithms and implementations Covers special issues, such as sensorless control, intelligent control, torque ripple reduction and hardware implementation, which also have applications to other types of motors Includes presentation files with lecture notes and Matlab 7 coding on a companion website for the book

An Adaptive System for Position-sensorless Start-up of Brushless DC Motors Using Online Mutual Voltage Monitoring

An Adaptive System for Position-sensorless Start-up of Brushless DC Motors Using Online Mutual Voltage Monitoring
Author: Ozegbe James Chukwuma
Publisher:
Total Pages: 234
Release: 2015
Genre: Brushless direct current electric motors
ISBN:

The proliferation of applications for brushless direct current (BLDC) motors in different industries continues to drive advances in not just BLDC machines, but also their driver circuit system and control mechanisms. Position-sensorless start-up of BLDC motors continues to be an active area of research as more advanced control methods exploiting previously unused start-up techniques come to light. In this work, a start-up technique for accelerating BLDC motors based on dynamic offset-cancellation and adaptive conditioning of the mutual voltage is introduced. The mutual voltage, sensed across the floating phase and the center-tap of the motor, is a by-product of the mutual inductance generated from flux in magnetically salient BLDC motors. It is position-dependent and can be used for position estimation and commutation decisions similar to the self-inductance. However, the amplitude and offset characteristics of the mutual voltage can vary for multiple BLDC motors as it is typically not a machine specification parameter and is not an explicitly controlled design parameter. This creates challenges in manufacturing flows that use multi-source strategies for procuring BLDC motors but require unique start-up solutions, thus the need for self-tuning and adaptive start-up system. This adaptive system for position-sensorless start-up of BLDC motors using mutual voltage is designed to be fully implementable as a discrete system-on-chip (SoC) integrated circuit. The hardware subsystem functions such as PWM, ADC conversion and GPIO are achieved using a micro-controller. A mutual voltage analog front-end circuitry consisting programmable-gain instrumentation amplifiers connected across each phase and the center-tap of the motor, level-shifters and an analog multiplexer to select the floating phase channel. Signal processing algorithms such as offset-cancellation and gain selection by saturation detection used in correcting the amplitude and offset characteristics of the mutual voltage are implemented in firmware. Using the corrected mutual voltage, a commutation criteria based on a hybrid of its peak and threshold detection is used in accelerating the motor from standstill through a pre-defined number of electrical or mechanical cycles until enough back-EMF has been attained for closed-loop controlled acceleration to the target speed.

Advanced Hybrid Information Processing

Advanced Hybrid Information Processing
Author: Shuai Liu
Publisher: Springer Nature
Total Pages: 523
Release: 2022-01-18
Genre: Computers
ISBN: 3030945545

This two-volume set constitutes the post-conference proceedings of the 5th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2021, held in October 2021. Due to COVID-19 the conference was held virtually. The 94 papers presented were selected from 254 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2020 was “Social hybrid data processing”. The papers are named in topical sections as follows: Intelligent algorithms in complex environment; AI system research and model design; Method research on Internet of Things technology; Research and analysis with intelligent education.

High Performance Control of AC Drives with Matlab / Simulink Models

High Performance Control of AC Drives with Matlab / Simulink Models
Author: Haitham Abu-Rub
Publisher: John Wiley & Sons
Total Pages: 460
Release: 2012-04-13
Genre: Science
ISBN: 1119942101

A comprehensive guide to understanding AC machines with exhaustive simulation models to practice design and control Nearly seventy percent of the electricity generated worldwide is used by electrical motors. Worldwide, huge research efforts are being made to develop commercially viable three- and multi-phase motor drive systems that are economically and technically feasible. Focusing on the most popular AC machines used in industry – induction machine and permanent magnet synchronous machine – this book illustrates advanced control techniques and topologies in practice and recently deployed. Examples are drawn from important techniques including Vector Control, Direct Torque Control, Nonlinear Control, Predictive Control, multi-phase drives and multilevel inverters. Key features include: systematic coverage of the advanced concepts of AC motor drives with and without output filter; discussion on the modelling, analysis and control of three- and multi-phase AC machine drives, including the recently developed multi-phase-phase drive system and double fed induction machine; description of model predictive control applied to power converters and AC drives, illustrated together with their simulation models; end-of-chapter questions, with answers and PowerPoint slides available on the companion website www.wiley.com/go/aburub_control This book integrates a diverse range of topics into one useful volume, including most the latest developments. It provides an effective guideline for students and professionals on many vital electric drives aspects. It is an advanced textbook for final year undergraduate and graduate students, and researchers in power electronics, electric drives and motor control. It is also a handy tool for specialists and practicing engineers wanting to develop and verify their own algorithms and techniques.