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New Approach to a Hybrid Fuzzy Sliding Mode Control to a Brushless AC Motor Scheme

New Approach to a Hybrid Fuzzy Sliding Mode Control to a Brushless AC Motor Scheme

control strategies of a Brushless AC Motor. The system combines the performance of fuzzy logic control and sliding mode control. Sliding mode control scheme, fuzzy logic controller strategies and the hybrid fuzzy- sliding mode controller were simulated with Mat lab/ Simulink for comparison. Behind this strategy, the main objective is to improve the performance of the fuzzy sliding mode control scheme. An experimentation, where all the command were implemented to an MSK Board with a PM50 module and a 90W BLAC Motor is used to validate all the result. the BLDC motor frameworks have questionable and nonlinear attributes which corrupt execution of controllers. Sliding mode controllers (SMC) are very useful in controlling the non-linearities in the system. But due to the effect of chattering in SMC based drives, the use of controller is limited. Henceforth a novel hybrid fuzzy sliding mode controller is exhibited in this paper for effectively reducing the chattering effect. Key Words: Brushless Motor, Sliding Mode, Fuzzy Logic, Hybrid controller.
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Fuzzy-Variable Gain PI Mode Control Applied to a Brushless AC Motor Drive

Fuzzy-Variable Gain PI Mode Control Applied to a Brushless AC Motor Drive

Vector control, Variable gain PI Control, Fuzzy Logic Control and Fuzzy-Variable gain PI mode control are used to control a Brushless AC Motor. Referring to the obtained result, effectiveness and performance of this method is verified, in this paper, and VGPI-FLC is the best controller.

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Online optimal flux-weakening control of permanent-magnet brushless AC drives

Online optimal flux-weakening control of permanent-magnet brushless AC drives

In order to illustrate the transient dynamic performance of the online optimal algorithm, Fig. 5(a) compares the variation of the demanded - and -axes currents and with the actual cur- rents and of the brushless ac motor having an interior radial magnet rotor, following a step change in the commanded speed, from 500 r/min in the constant torque range to 3500 r/min in the flux-weakening range, i.e., about two times base speed. By way of comparison, Fig. 5(b) shows the response with feedforward control, in which is initially maintained constant for max- imum torque per ampere up to base speed, after which and follow predetermined optimal current profiles for flux-weak- ening operation. As long as the demanded operating working point is within the maximum power capability which is achiev- able with this control strategy, and follow the demanded profiles quite well. Hence, the response is good, and the motor quickly attains steady state. Clearly, if the demanded operating working point is beyond the maximum achievable power capa- bility, but within the inherent power capability, the dynamic per- formance will deteriorate and the demanded working point will not be attained.
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Simulation And Analysis Of Solar Powered Brushless DC Motor

Simulation And Analysis Of Solar Powered Brushless DC Motor

[4] Santanu Mondal, Abhirup Nandi, Indranil Mallick, Chirantan Ghosh, Alapan Giri Department of Applied Electronics and Instrumentation Techno India Salt Lake Kolkata, India. “Performance Evaluation of Brushless DC Motor Drive for Three Different Types of MOSFET BasedDC-DC Converters ” DevIC March 2017.

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Speed and torque controls of brushless direct current motor

Speed and torque controls of brushless direct current motor

As mentioned, BLDC motors did not consists of commutator and brushed as BDC motors to operate. This motor requires controller that is an electronic commutation in order for it to supply commutated current to the motor windings synchronized to the rotor position[4]. As the magnetic field at the stator will change due to the current polarity changes in the slots windings. Thus, the current polarity must change accordance to the rotor magnetic field which requires the rotor position to be traced[3]. In order to specify the rotor position, a feedback position sensor is readily mounted or embedded in the BLDC motor that is known as Hall Effect sensor. Hall sensor used to detect the rotor position in order to determine which stator winding that will be energized in proper sequence[1]. The cross section of BLDC motor with respect to the embedded Hall Effect sensor.
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Design and Implementation of Adaptive PID based UAV Shaft Position Control

Design and Implementation of Adaptive PID based UAV Shaft Position Control

The initial step is to control the position of the UAV with manual tuned PID. With enough information about the process being controlled, it may be possible to calculate optimal values of gain, reset and rate for the PID controller. Often the process is too complex, but with some knowledge, particularly about the speed with which it responds to error corrections, it is possible to achieve a rudimentary level of tuning. Manual PID tuning is done by setting the reset time to its maximum value and the rate to zero and increasing the gain until the loop oscillates at a constant amplitude. When the response to an error correction occurs quickly a larger gain can be used. If response is slow a relatively small gain is desirable. Then set the gain of the PID controller to half of that value and adjust the reset time so it corrects for any offset within an acceptable period. Finally, increase the rate of the PID loop until overshoot is minimized. Here, the process under control is the UAV shaft control for maintaining the position, ‘θ’, i.e. the angle of the shaft for attaining the perfect balancing and the speed of the brushless motor to be controlled. In this step, the PID algorithm was implemented in the controller with feeding the constant values for the proportional (K p ), integral (K i ) and derivative (K d ) constants in the algorithm. It also required frequent changes in the K p , K i and K d values.
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Design of Brushless DC Motor with Fuzzy Logic Controller

Design of Brushless DC Motor with Fuzzy Logic Controller

Abstract - Actually brushless DC motor is the alternate motor for traditional motors and also comparatively brushless DC motor has improved performance in speed, torque, efficiency and electromagnetic torque. In this paper the three phase brushless DC motor model is designed with fuzzy logic controller and tested in MATLAB software. The Fuzzy logic controller is used to control the speed of the brushless DC motor. On the other hand parameters like Back EMF, current, speed and torque are evaluated for the designed models of BLDC motor.
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Sensorless Speed Control And Pfc For Brushless Dc Motor

Sensorless Speed Control And Pfc For Brushless Dc Motor

power quality at ac mains. Many topologies of the single-stage PFC converter are reported in the literature which has gained importance because of high efficiency as compared to two- stage PFC converters due to low component count and a single switch for dc link voltage control and PFC operation .The choice of mode of operation of a PFC converter is a critical issue because it directly affects the cost and rating of the components used in the PFC converter. The continuous conduction mode (CCM) and discontinuous conduction mode (DCM) are the two modes of operation in which a PFC converter is designed to operate. In CCM, the current in the inductor or the voltage across the intermediate capacitor remains continuous, but it requires the sensing of two voltages (dc link voltage and supply voltage) and input side current for PFC operation, which is not cost- effective. On the other hand, DCM requires a single voltage sensor for dc link voltage control, and inherent PFC is achieved at the ac mains, but at the cost of higher stresses on the PFC converter switch; hence, DCM is preferred for low-power applications .The conventional PFC scheme of the BLDC motor drive utilizes a pulse width-modulated voltage source inverter (PWM- VSI) for speed control with a constant dc link voltage. This offers higher switching losses in VSI as the switching losses increase as a square function of switching frequency. As the speed of the BLDC motor is directly proportional to the applied dc link voltage, hence, the speed control is achieved by the variable dc link voltage of VSI. This allows the fundamental frequency switching of VSI (i.e., electronic commutation) and offers reduced switching losses. The parameters of the BL buck–boost converter are designed such that it operates in discontinuous inductor current mode (DICM) to achieve an inherent power factor correction at ac mains. The speed control of BLDC motor is achieved by the dc link voltage control of VSI using a BL buck–boost converter. This reduces the switching losses in VSI due to the low frequency operation of VSI for the electronic commutation of the BLDC motor. The performance of the
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Design of a Printed Circuit Board for a Sensorless Three-Phase Brushless DC Motor Control System

Design of a Printed Circuit Board for a Sensorless Three-Phase Brushless DC Motor Control System

The PIC brand of microcontrollers produced by Microchip is a popular type of microcontroller from a large brand with a long history of successful use by both the hobbyist and commercial industries. There are a variety of PIC controllers to choose from and many of the newer PICs have Digital Signal Processing features built-in that would be needed for more complex motor control methods such as field-oriented or sinusoidal control. Several models are even designed for the purpose of motor control. With the selection of the PIC controller also comes an extensive library of application notes for motor control provided by Microchip and a development environment that is available for all types of computers (Windows, Mac, Linux). Additionally, microcontrollers in this family have been used successfully in previous studies on brushless motor controllers including a study on the performance of sinusoidal vs square wave supplies [31].
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Sensorless Control of Four Switch Inverter for Brushless DC Motor Drive and Its Simulation

Sensorless Control of Four Switch Inverter for Brushless DC Motor Drive and Its Simulation

In proposed method single phase to three phase converter back end consists of four switches (T1 to T6). In three phase Brushless DC motor, two phases A and B are connected to the two legs of the Four-switch Three phase inverter and the third phase C is connected to the centre point of the capacitor. Phase C is directly con- nected to the Brushless DC motor, so the phase C current is not directly controlled [3].

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MMF Control Algorithm for Torque and Speed Ripple Reduction in Bldc Motor

MMF Control Algorithm for Torque and Speed Ripple Reduction in Bldc Motor

The method of open-loop start has no special requirements on structure of the motor, therefore it has wider applicability. Hence, many researchers focus on improving the performance of open-loop start to make it closer and closer to the performance of position closed-loop start. Reference [15-21] adopts SVPWM to control six power transistors with two phases conducted once. It chooses the proper duration of voltage vectors to make the flux continuously move in circular trajectory, and adopts a two-point current comparator in order to ensure stabile and reliable starting performance. However, distributing the duration of the two basic voltage vectors generated by conducting two certain phases in a control cycle is hard to realize and not necessary. Moreover, the current comparator jumps sharply and overshoots seriously, resulting in serious ripple of speed which reaches 27% and it does not make full use of the advantages of SVPWM method.
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STRENGTHENING ANTI JAM GPS SYSTEM WITH ADAPTIVE PHASE ONLY NULLING USING 
EVOLUTIONARY ALGORITHMS

STRENGTHENING ANTI JAM GPS SYSTEM WITH ADAPTIVE PHASE ONLY NULLING USING EVOLUTIONARY ALGORITHMS

The stator windings of the motor should be energized in a proper sequence for the rotation of the BLDC motor. Therefore, it is important to know the rotor position in order to follow the proper energizing sequence. The rotor position is sensed using Hall effect sensors which are embedded in the stator. Every 60 electrical degrees of rotation, one of the Hall sensors changes the state [11],[12]. R.krishnan derived the mathematical model for the BLDC drive system shown in Figure 1. In this

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SPEED CONTROL OF BRUSHLESS DC MOTOR ON RESONANT POLE INVERTER USING FUZZY LOGIC CONTROLLER

SPEED CONTROL OF BRUSHLESS DC MOTOR ON RESONANT POLE INVERTER USING FUZZY LOGIC CONTROLLER

Brushless dc motor has been widely used in drive system and servo control because of its fast response ,high density ,high efficiency ,low inertia ,high reliability ,maintenance free. It is however driven by a hard switching frequency, high switching losses, high electromagnetic interference, high acoustic noise and low efficiency. The rectifier/inverter with a simple commutation circuit to provide zero voltage turn on for the switches and soft turn off for diodes. The converter is intended for high performance, medium power applications requiring bidirectional power flow .A new soft switching inverter has been developed to overcome over voltages and over current problems existing resonant link inverter .This inverter employs a single auxiliary switches. The introduces fuzzy logic based soft switching resonant pole inverter using transformer, which can generates dc link voltages notches during chopping which an minimized the drawback of soft switching, The operation principle and control scheme of the inverter are analyzed and performance of the fuzzy controller is compared with conventional PI controller .The simulation result show that the fuzzy controller is compared with the conventional PI controller
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Modeling of Brushless DC Motor for Electric Vehicle Application

Modeling of Brushless DC Motor for Electric Vehicle Application

Abstract:- Electric Vehicle has received more attention as an alternative option to traditional vehicles powered by internal combustion engines running on fossil fuels. Automobile industries are targeting sustainable transportation in future. Electric motor plays an important role in electric vehicle. AC motors, DC motors, Reluctance motors are mostly used in automotive application. But BLDC motor is most suitable because of high reliability, high power density, high efficiency, low cost, lower weight and low maintenance requirements due to absence of brushes. In-wheel technology is new concept in which each wheel of EV is driven by separate motor instead of using central drive system. This paper presents developed model of Brushless DC Motor by using MATLAB/Simulink and performance characteristics of motor are observed during various loading conditions. Simulation results obtained from developed model are discussed which gives correct performance of model however it makes brushless dc motor more effective in automotive applications.
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Brushless DC Motor Design for Electric Traction System.

Brushless DC Motor Design for Electric Traction System.

In studying the behavior of a motor selected for a particular driven unit, one of criterion is to determine whether the speed torque characteristic of motor suits the requirement imposed by the speed torque characteristic of the driven unit. Drive behavior during the transient period of a startup, braking or speed changeover also depends upon how the speed torque characteristics of motor and the driven unit vary with speed. Therefore it is important to study speed-torque characteristic to select correct motor and obtain an economical drive.

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Design of Control System of Low Speed Brushless DC Motor

Design of Control System of Low Speed Brushless DC Motor

Electric running, the current way of conduction with 120 ° conduction mode, namely the conduction time of every power tube is 120 ° electrical point of view.The speed regulating mode adopts the half-bridge modulation, which means that PWM only plays a role in a pair of components in the guide cycle.The switching state of the power tube depends on the HALL signal provided by the position sensor.When the motor is moving forward and backward, the relationship between the state of HALL position sensor and the open power tube is shown in table 1.
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Modeling and Control of DC Chopper Fed Brushless DC Motor

Modeling and Control of DC Chopper Fed Brushless DC Motor

Normally, the stator of a BLDC motor consists of stacked steel laminations with windings placed in the slots that are axially cut along the inner periphery. Stator windings of BLDC motors are three phase star connected. Numerous coils are interconnected to form a winding. Construction of BLDC rotor poles are done using permanent magnets are used and the number of poles can vary from two to eight pairs with alternate North and South poles. Density of magnetic field required will decide the magnetic materials to be chosen for the construction of rotor poles are made with proper. Proper sequence of rotation of BLDC motor can be achieved by energizing the stator windings in a sequence. The position of rotor poles should be known to understand which winding should be energized to follow particular energizing sequence. To accomplish these, Hall Effect sensors are used to sense the rotor position and that is mounted to the stator. Normally, in most of the applications BLDC motors having three Hall sensors mounted on the stator are used and they are kept on the non-driving end of motor.
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Design of the Brushless DC Motor Driving System Based on STM32

Design of the Brushless DC Motor Driving System Based on STM32

The commutation instant is determined by the rotor position in accordance with the operational principle of brushless DC motor. At present, there are two kinds of techniques to obtain the signal of the rotor position. The first type of technique is the use of sensorless control technique, the focus of which is to study a variety of indirect rotor position detection method instead of the direct installation of rotor position sensor to provide rotor position magnetic field in- formation. In fact, the sensorless techniques increase the complexity of the con- trol to reduce that of the motor structure from two aspects of hardware and software. The position detection circuit and the method mainly include: the back EMF zero crossing method, the back EMF integral detection method, the freew- heeling diode method, the 3 harmonic back EMF detection method, and so on [1]. The advantages of the back EMF integral detection method are that the whole control process does not need to obtain the speed information, only by adjusting the threshold value of the motor to achieve the lead or lag phase change, and it’s insensitive to the switch signal [2] [3] [4]. The disadvantage is that there is a threshold setting problem and integral error. The three harmonic detection method of back electromotive force has the advantages of wide appli- cation range and small phase delay. However, due to the continuous accumula- tion of low speed noise signal, it often leads to errors in the integration process, resulting in inaccurate commutation [5] [6].
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Automated Unmanned Aerial Vehicle for Afforestation

Automated Unmanned Aerial Vehicle for Afforestation

ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 897 realized that the drone can lift more flight load as compared to quadcopter. After the drone assembly, seed box had to be made. To make the seed box to drop seeds one at a time one DC motor was used. To code the DC motor to perform its function Arduino was used. During flight time motor would start after reaching a particular altitude. To measure the altitude, ultrasonic sensor was used.

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Mathematical Modelling and Simulation of Brushless DC Motor Using MATLAB

Mathematical Modelling and Simulation of Brushless DC Motor Using MATLAB

Abstract: Due to high efficiency, low maintenance and high torque the BLDC motor are used in many industrial and traction application. It is also an alternate motor for brushed DC motor and induction motor. In this paper the three phase brushless DC motor model is designed and test under trapezoidal back electromotive force using MATLAB software. On the other hand parameters like Back EMF, current, speed and torque are evaluated for the designed models of BLDC motor.

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