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Stability Analysis of BLDC Motor Drive based on Input Shaping

TL;DR: In this paper, a brushless DC motor drive system with input shaping using classical control theory is analyzed using time response analysis and the relative stability of this drive system is determined by Bode Plot.
Abstract: The main objective of this work is to analyze the brushless DC (BLDC) motor drive system with input shaping using classical control theory. In this paper, different values of damping ratio are used to understand the generalized drive performance. The transient response of the BLDC motor drive system is analyzed using time response analysis. The dynamic behaviour and steady state performance of the BLDC motor drive system is judged and compared by its steady state error to various standard test signals. The relative stability of this drive system is determined by Bode Plot. These analysis spotlights that it is possible to obtain a finite-time setting response without oscillation in BLDC motor drive by applying input in four steps of different amplitude to the drive system. These analyses are helpful to design a precise speed control system and current control system for BLDC motor drive with fast response. The Matlab/Simulink software is used to perform the simulation. V : q-axis equivalent stator voltage in volts r qs i : q-axis equivalent stator current in amps s L : Equivalent stator self-inductance in henry s R : Equivalent stator winding resistance in ohms P : Number of poles of motor L T : Load torque of motor in N-m m B : Motor viscous friction coefficient in N-m/rad/sec m J : Rotor inertia of motor in Kg-m 2

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Citations
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Book ChapterDOI
13 Aug 2010
TL;DR: All rights reserved.
Abstract: All rights reserved. No part of the publication may be reproduced in any form by print, photoprint, microfilm or any other means without written permission from the publisher.

430 citations

Journal ArticleDOI
01 Jul 2020
TL;DR: Stability analysis and performance characteristics of brushless direct current motor are studied and implemented with a new deep learning neural network—fuzzy-tuned proportional integral derivative (PID) speed controller, showing that the design methodologies outperform other controller designs from the literature.
Abstract: Speed regulation is one of the significant characteristics to be adopted in the field of brushless DC motor drive for effective and accurate speed and position control operations. In this paper, stability analysis and performance characteristics of brushless direct current motor are studied and implemented with a new deep learning neural network—fuzzy-tuned proportional integral derivative (PID) speed controller. Deep learning architecture is designed for the multi-layer perceptron network, and the output from the neural module fires the rules of the fuzzy inference system mechanism. The parameters of deep perceptron neural network (DPNN) are tuned for near optimal solutions using the unified multi-swarm particle swarm optimization, and in turn the optimized DPNN selects the parameters of the fuzzy inference system. Deep learning neural network with the fuzzy inference system tunes the gain values of the PID controller and performs an effective speed regulation. The performance characteristics of the designed speed controller are tested for a step change in input speed and also for impulsive load disturbances. Further, the stability analysis of the new proposed controller is investigated with Lyapunov stability criterion by deriving the positive definite functions. The weight parameters of DPNN model and the number of rules of fuzzy system are tuned for their near optimal solutions using multi-swarm particle swarm optimization. From the results, it is well proven that the proposed controller is more stable and guarantees consistent performance than other considered controllers in all aspects. Simulation-based comparisons illustrate that the design methodologies outperform other controller designs from the literature.

39 citations

Journal ArticleDOI
TL;DR: In this paper, a bridgeless single-ended primary-inductance converter (BLSEPIC) based power factor rectification with output voltage regulation and high frequency isolation working in discontinuous conduction mode is presented.
Abstract: This paper presents the analysis and design of on front end bridgeless single-ended primary-inductance converter (BLSEPIC) based power factor rectification, with output voltage regulation and high frequency isolation working in discontinuous conduction mode. The switching loss in VSI is minimized by an electronic commutation of Brushless DC motor (BLDCM) is used to operate in a low-frequency operation. To improve the efficiency, the diode bridge rectifier is replaced with the alternate bridgeless topologies which offers less conduction losses, advised by the international power quality standards, a wide range of speed control is obtained with improved power quality BLDC motor drive is proposed and simulated in MATLAB/SIMULINK. DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7404

4 citations

Journal ArticleDOI
TL;DR: In this paper, an improved back emf detection method is proposed, in which the motor neutral voltage is elemenated and the phase zero crossing point can be directly extracted by detecting voltage difference between the phase terminal and the midpoint of the dc link.
Abstract: In this paper an improved back emf detection method is proposed. The motor neutral voltage is elemenated and the phase back emf zero crossing point can be directly extracted by detecting voltage difference between the phase terminal and the midpoint of the dc link. Here filtering circuit is not needed and the BLDC motor is provided with PWM control of 100% duty ratio which is presented in this paper. To perform the inverter commutation, there is a need of six commutation signals which is obtained by sensing only one of the three phase terminals that reduces the cost of the sensing circuit. The reduction of the imbalance in the six commutation signals which are caused by the asymmetrical behavior of the three phase windings in BLDC motor had been reduced in a varied speed range. It simplifies the starting procedure and achieve the motor performance over a wide speed range. This proposed method is analyzed through the simulation results using MATLAB Simulink. DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7423

4 citations

Journal Article
TL;DR: A simple way to control the speed of PMBLDC motor using Fuzzy logic control method to achieve the improved dynamic performance and avoids the variations of the motor drive is described.
Abstract: This paper describes a simple way to control the speed of PMBLDC motor using Fuzzy logic control method. In the conventional PI controller the performance of the motor system is simulated and the speed is regulated by using PI controller. These methods used to improve the performance of PMSM drives, but in some cases at different operating conditions when the dynamics of the system also vary over time and it can change the reference speed, parameter variations and the load disturbance. The simulation is powered with the MATLAB program to get a reliable and flexible simulation. In order to highlight the effectiveness of the speed control method the FLC method is used. The proposed method targeted in achieving the improved dynamic performance and avoids the variations of the motor drive. This drive has high accuracy, robust operation from near zero to high speed. The effectiveness and flexibility of the individual techniques of the speed control method will be thoroughly discussed for merits and demerits and finally verified through simulation and experimental results for comparative analysis. Keywords—Hall position sensors, permanent magnet brushless DC motor, PI controller, Fuzzy Controller.

Additional excerpts

  • ...It is based on some control schemes used to compensate for the dynamic uncertainties in the motor drive [13]-[18]....

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References
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Book
01 Jan 1970
TL;DR: This comprehensive treatment of the analysis and design of continuous-time control systems provides a gradual development of control theory and shows how to solve all computational problems with MATLAB.
Abstract: From the Publisher: This comprehensive treatment of the analysis and design of continuous-time control systems provides a gradual development of control theory—and shows how to solve all computational problems with MATLAB. It avoids highly mathematical arguments, and features an abundance of examples and worked problems throughout the book. Chapter topics include the Laplace transform; mathematical modeling of mechanical systems, electrical systems, fluid systems, and thermal systems; transient and steady-state-response analyses, root-locus analysis and control systems design by the root-locus method; frequency-response analysis and control systems design by the frequency-response; two-degrees-of-freedom control; state space analysis of control systems and design of control systems in state space.

6,634 citations

Book
15 Feb 2001
TL;DR: Solutions ManualElectric Machines and DrivesApplied Intelligent Control of Induction motor DrivesAnalysis and Control of Electric DrivesFundamentals of Electrical DrivesElectrical Machine Drives ControlElectric Drives: Concepts & Appl, 2/EElectric Motor DrivesMobile Communication and Power Engineering
Abstract: Solutions ManualElectric Machines and DrivesApplied Intelligent Control of Induction Motor DrivesAnalysis and Control of Electric DrivesFundamentals of Electrical DrivesElectrical Machine Drives ControlElectric Drives: Concepts & Appl, 2/EElectric Motor DrivesMobile Communication and Power EngineeringElectric Motors and DrivesAnalysis of Electric Machinery and Drive SystemsReduced DC-link Capacitance AC Motor DrivesModern Electrical DrivesSwitched Reluctance Motor DrivesControl of Permanent Magnet Synchronous MotorsPower Electronics and Motor Drive SystemsPermanent Magnet Synchronous MachinesMultiphysics Simulation by Design for Electrical Machines, Power Electronics and DrivesDynamics and Control of Electrical DrivesSwitched Reluctance Motor DrivesInduction Motor Control DesignElectric Machines and DrivesControl of Multiphase Machines and DrivesAC Electric Motors ControlHigh Performance Control of AC Drives with Matlab/SimulinkElectric Vehicle Machines and DrivesModel-Based Predictive Control of Electric DrivesEfficiency Modeling and Analysis of Power Electronic Converters and Electric Motor Drives for Parallel Hybrid Electric and Fuel Cell VehiclesElectric DrivesModern Power Electronics and AC DrivesHybrid Electric Vehicle System Modeling and ControlHigh Performance AC DrivesModeling, Simulation and Control of Electrical DrivesModular Multilevel ConvertersAdvanced Electrical DrivesElectrical Machines, Drives, and Power SystemsElectromechanical Motion DevicesBrushless Permanent-magnet and Reluctance Motor DrivesControl Strategies of Permanent Magnet Synchronous Motor Drive for Electric VehicleIntroduction to Hybrid Vehicle System Modeling and Control

1,356 citations

Journal ArticleDOI
TL;DR: The state of the art in sensorless techniques for estimating rotor position from measurements of voltage and current is reviewed, which are broadly classified into three types: motional electromotive force, inductance, and flux linkage.
Abstract: The operation of a brushless permanent-magnet machine requires rotor-position information, which is used to control the frequency and phase angle of the machine's winding currents. Sensorless techniques for estimating rotor position from measurements of voltage and current have been the subject of intensive research. This paper reviews the state of the art in these sensorless techniques, which are broadly classified into three types: motional electromotive force, inductance, and flux linkage.

560 citations

Book ChapterDOI
13 Aug 2010
TL;DR: All rights reserved.
Abstract: All rights reserved. No part of the publication may be reproduced in any form by print, photoprint, microfilm or any other means without written permission from the publisher.

430 citations

Journal ArticleDOI
TL;DR: This paper lays the groundwork for the development of a new low-cost IC for control of BLDC motors by implementing a simple novel digital pulsewidth-modulation control for a trapezoidal BLDC motor drive system.
Abstract: Development of advanced motor drives has yielded increases in efficiency and reliability. Residential and commercial appliances such as refrigerators and air conditioning systems use conventional motor drive technology. The machines found in these applications are characterized by low efficiency and high maintenance. A brushless dc (BLDC) motor drive is characterized by higher efficiency, lower maintenance, and higher cost. In a market driven by profit margins, the appliance industry is reluctant to replace the conventional motor drives with the advanced motor drives (BLDC) due to their higher cost. Therefore, it is necessary to have a low-cost but effective BLDC motor controller. This paper lays the groundwork for the development of a new low-cost IC for control of BLDC motors. A simple novel digital pulsewidth-modulation control has been implemented for a trapezoidal BLDC motor drive system. Due to the simplistic nature of this control, it has the potential to be implemented in a low-cost application-specific integrated circuit. The novel controller is modeled and verified using simulations. Experimental verification is carried out using field-programmable gate arrays to validate the claims presented.

253 citations