Brushless DC Motor Control Research Articles

Fuzzy PID control algorithm based on PSO and application in BLDC motor

A fuzzy PID control algorithm is studied based on improved particle swarm optimization (PSO) to perform Brushless DC (BLDC) motor control which has high accuracy, good anti-jamming capability and steady state accuracy compared with traditional PID control. The mathematical and simulation model is established for BLDC motor by simulink software, and the speed loop of the fuzzy PID controller is designed. The simulation results show that the fuzzy PID control algorithm based on PSO has higher stability, high control precision and faster dynamic response speed.

Hybrid Sliding Mode Control Technology of Electric Vehicle Based on Wireless Sensor

The purpose of this study is to solve defects of the existing control strategy long convergence time, sliding mode chattering and so on. For Sensorless Brushless DC motor control strategy, a modified extended Kalman state correction estimation scheme is proposed, and dual mode high-order non-singular terminal hybrid sliding mode control technology is put forward. TMS320F2812DSP core controller and CM200DY-12H inverter module and construction electric car core control module are established, and the program algorithm of the extended Kalman algorithm and hybrid sliding mode control is constructed. The results showed that the control system designed can suppress the system chattering, and the system has strong robustness, which has low requirement on the system model and can eliminate external disturbance input, showing outstanding performance in the convergence time and anti disturbance performance. In summary, a dual mode high-order non-singular terminal hybrid sliding mode control technology put forward is quite suitable for electric vehicle control system.

A practical sensorless commutation method based on virtual neutral voltage for brushless DC motor

This paper presents a low‐cost and highly practical sensorless control method for brushless DC (BLDC) motor drives. The developed methodology can generate an accurate commutation signal for the BLDC motor by sensing the back electromotive force zero‐crossing point through the virtual neutral voltage of the motor. Since commutation control is critical for the BLDC motor control, a voltage‐controlled phase shifter comprising a hysteresis comparator and voltage‐controlled resistor is proposed in order to perform phase compensation at different speeds and prevent rapid output oscillations due to noise or high‐frequency ripples in the virtual neutral voltage. Finally, several experiments have been performed on a prototype motor to verify the theoretical analysis and demonstrate the practicality and reliability of the proposed sensorless drive method. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

Performance Analysis of Space vector pulse width modulation based Sensor less Field oriented control of Brushless DC motor

Performance Analysis of Space vector pulse width modulation based Sensor less Field oriented control of Brushless DC motor

Analysis of sensorless control of brushless DC motor using unknown input observer with different gains

Abstract A sensorless control scheme based on an unknown input observer is presented in this paper in which back EMF of the Brushless DC Motor (BLDC) is continuously estimated from available line voltages and currents. During negative rotation of motor, actual and estimated speed fail to track the reference speed and if the corrective action is not taken by the observer, the motor goes into saturation. To overcome this problem, the speed estimation algorithm has been implemented in this paper to control the dynamic behavior of the motor during negative rotation. The Ackermans method was used to calculate the gains of an unknown input observer which is based on the appropriate choice of the eigenvalues in advance. The criteria to choose eigenvalue is to obtain a balance between faster convergence rate and the least noise level. Simulations have been carried out for different disturbances such as step changes in motor reference speed and load torque. The comparative simulation results clearly depict that the disturbance effects in actual and estimated responses minimizes as observer gain setting increases.

A Novel RRR-SVPWM-Based Speed Controlling Mechanism for Brushless DC Motor

Brushless DC motor (BLDCM) is a synchronous motor that contains a permanent magnet on the rotor and armature windings on the stator. It consists of the following characteristics, such as compact form, high efficient, silent operations and low maintenance. The existing BLDCM control systems have some drawbacks such as, it needs higher requirements for control algorithms, it uses more complicated electronics, it holds high noise and the initial rotor movement is not predictable. In order to overcome these issues, a new control mechanism, namely, carrier frequency rate, duty cycle ratio and pulse position range-space vector pulse width modulation (RRR-SVPWM) technique is proposed in this paper to control the speed of BLDCM. Initially, the unregulated AC from the wind turbine system is given to the input of six-legs insulated gate bipolar transistor (IGBT) circuit for converting the unregulated AC to regulated DC. Here, the pulse generator is used to generate the pulses based on certain parameters, such as input three-phase voltage, phase current and DC voltage. Hence, the proposed RRR-SVPWM technique is applied to reduce the noise and maintain a harmonics in a controlled level by placing a high-speed switches in a circuit. Finally, the speed of the BLDCM is increased and controlled by giving an output regulated AC to the motor. The experimental results evaluate the performance of the proposed system in terms of power factor (PF), displacement PF (DPF) and total harmonic distortion (THD).

Design of Optimal Position Controller for Three-Phase Brushless DC Motor Applying Adaptive Sliding Mode Control

Design of Optimal Position Controller for Three-Phase Brushless DC Motor Applying Adaptive Sliding Mode Control

A Novel and Simple Hybrid Fuzzy/PI Controller for Brushless DC Motor Drives

A novel speed controller for the trapezoidal three--phase Brushless DC (BLDC) Motor Drive is proposed using a hybrid fuzzy logic and proportional plus integral (PI) control. The fuzzy logic control structure is different from conventional fuzzy logic implementations such that it only uses three simple rules based on speed error being either in the positive, negative or zero regions. The controller outputs a reference current, that is enforced through the motor phases by pulsewidth modulation (PWM) control. The proposed fuzzy logic controller can be used individually in applications requiring lower computation load and accepting small steady state offset. For high performance applications requiring offset free tracking, a PI controller is augmented with the fuzzy logic controller and a simple switching scheme is devised based on error variance to switch the active controller based on operating conditions. The response of the drive system under the proposed composite control structure is compared with the conventional PI based and the sliding mode controllers to demonstrate its improved performance. Simulations studies using detailed models in MATLAB/Simulink's Simpowersystems toolbox are carried out to show the validity of proposed control.

Design and implementation methodology for rapid control prototyping of closed loop speed control for BLDC motor

This paper deals with rapid control prototyping implementation of closed loop speed control for a Brushless dc (BLDC) motor drive using dSPACE DS1103 controller board. Generally control algorithms which are developed for the motor drive might show good simulation results during steady state and transient conditions; however real-time performance of the drive greatly depends on execution of real time control software, speed and position measurements and data acquisition. The real challenge of hardware implementation lies in selecting appropriate hardware equipment and perfect configuration of the equipment with controller board. The dSPACE DS1103 controller board is suitable for high performance electric motor control as it has flexibility of converting the MATLAB/Simulink blocks into DSP enabled embedded code. In this paper a detailed procedure to effectively control the BLDC motor drive in real-time is presented.

Analysis and improvement of Self Tuning Based on Sensor less Control of BLDC Motor

This paper introduce the sensorless control of brushless dc motor based on self tuning PID adaptive neuro fuzzy controller is analyzed. The proposed control is to be introduces for reducing sensor cost, computation burden and improving speed torque performance for variable load conditions. Phase current and Speed rating is required for controlling motor speed torque performance. So speed estimation algorithm is introduces to finding rotating speed of machine without sensor methods after that speed control and estimation of speed is implemented using back emf methodand the torque estimation is based on PI controller. The estimated speed and torque is used for self PID tuning based adaptive fuzzy in space vector pulse width modulation. The speed and stator current of brushless DC motor is controlled and computed by using MATLAB/Simulink platform.

A New Photovoltaic Power Generation of Switched Inductor Quasi ZSource Inverter for BLDC Motor Drive Control

The control of Brushless DC Motor is a challenging task while interfacing with renewable power generation. Especially in photovoltaic power generation having issues such as low power extraction, lagging of current with respect to voltage generation, low load of drives, multi stage of power conversion and control complexity. In this paper Switched Inductor Quasi Z Source Inverter (SL-QZSI) introduces for photovoltaic fed brushless DC Motor drive for reducing multistage power generation, additional power extraction of photovoltaic and reducing complexity of control circuit. Switched inductor circuit is replaces single inductor of quasi z source circuit and extracting high power, improving efficiency without using voltage lifting unit, coupled inductors and transformers. The speed sensing and reference current is used to estimate an actual reference current and Maximum Power Point Tracking (MPPT) is used to tune various modulation value of reference current to generate Maximum Boost Pulse Width Modulation (MB-PWM) scheme. MPPT is generated modulation index value with respect to photovoltaic power conditions. The proposed topology is implemented using MATLAB/Simulink software to verifying about unique merits of power conversion stage and control performances of proposed switched inductor quasi z source inverter topology.

A low-cost and highly integrated control system for lower limb rehabilitation robot

This paper presents a lower limb rehabilitation control system designed to train stroke patients by providing variable damping on the knee joint. The hardware based on the controller TMS320F28335 digital signal processor (DSP) and the software based on the DSP/BIOS embedded operation system are designed. The effective control of brushless DC (BLDC) motor can be implemented by combining with the upper impedance control algorithms and the underlying field-oriented control (FOC) control algorithm, which improves the performance of rehabilitation robot control system. The proposed integrated control system has robustness, dependability and works in real-time, and is easy to be upgraded and expanded.

A low-cost and highly integrated control system for lower limb rehabilitation robot

This paper presents a lower limb rehabilitation control system designed to train stroke patients by providing variable damping on the knee joint. The hardware based on the controller TMS320F28335 digital signal processor (DSP) and the software based on the DSP/BIOS embedded operation system are designed. The effective control of brushless DC (BLDC) motor can be implemented by combining with the upper impedance control algorithms and the underlying field-oriented control (FOC) control algorithm, which improves the performance of rehabilitation robot control system. The proposed integrated control system has robustness, dependability and works in real-time, and is easy to be upgraded and expanded.

Modeling and control of a permanent-magnet brushless DC motor drive using a fractional order proportional-integral-derivative controller

This paper deals with the speed control of a permanent-magnet brushless direct current (PMBLDC) motor. A fractional order PID (FOPID) controller is used in place of the conventional PID controller. The FOPID controller is a generalized form of the PID controller in which the order of integration and differentiation is any real number. It is shown that the proposed controller provides a powerful framework to control the PMBLDC motor. Parameters of the controller are found by using a novel dynamic particle swarm optimization (dPSO) method. The frequency domain pole-zero (p-z) interlacing method is used to approximate the fractional order operator. A three-phase inverter with four switches is used in place of the conventional six-switches inverter to suggest a cost-effective control scheme. The digital controller has been implemented using a field programmable gate array (FPGA). The control scheme is verified using the FPGA-in-the-loop (FIL) wizard of MATLAB/Simulink. Improvement in the overall performance of the system is observed using the proposed FOPID controller. The energy efficient nature of the FOPID controller is also demonstrated.

A New Strategy for BLDC Sensorless Control System and Its Application in Horizontal Well Tractor

The positionless brushless DC motor has the advantages of simple structure, good speed performance and high efficiency. It has become the best choice for horizontal well tractor. This paper introduces a set of brushless DC motor control system, gives the hardware structure of the system and brushless DC motor without Hall sensor control flow chart and the host computer communication interface protocol which solves the problem of phase lag in the case of high speed motor. Aiming at the problem that the parameters of the motor can not be monitored, the host computer monitoring program based on c# can be designed to monitor the parameters of the motor in real time. The experimental results show that the control system can make the motor run smoothly at different speeds, and can monitor the parameters of the motor in real time, suitable for the horizontal well logging and so on the motor control system requires relatively high industrial environment.

Design of the Brushless DC Motor Driving System Based on STM32

As a mechanical and electrical integration product, brushless DC motor has better controllability and wide speed range. According to its characteristics, a brushless DC motor control system based on STM32F103ZET6 MCU is designed and realized, and then the control system was analyzed and discussed. Adopted GPIO module, PWM module, timer module, etc., coupled with efficient PID algorithm, three main functions of this system have been implemented, such as start stop control, position detection and closed-loop speed regulation. The experimental results show that this control system works well with low cost and high price-performance ratio.

Start-up current adaptive control for sensorless high-speed brushless DC motors based on inverse system method and internal mode controller

The start-up current control of the high-speed brushless DC (HS-BLDC) motor is a challenging research topic. To effectively control the start-up current of the sensorless HS-BLDC motor, an adaptive control method is proposed based on the adaptive neural network (ANN) inverse system and the two degrees of freedom (2-DOF) internal model controller (IMC). The HS-BLDC motor is identified by the online least squares support vector machine (OLS-SVM) algorithm to regulate the ANN inverse controller parameters in real time. A pseudo linear system is developed by introducing the constructed real-time inverse system into the original HS-BLDC motor system. Based on the characteristics of the pseudo linear system, an extra closed-loop feedback control strategy based on the 2-DOF IMC is proposed to improve the transient response performance and enhance the stability of the control system. The simulation and experimental results show that the proposed control method is effective and perfect start-up current tracking performance is achieved.

Speed control of brushless DC motor by adaptive network-based fuzzy inference

Brushless dc (BLDC) motor provides many advantages such as less power consumption, small volume, good stability, larger torque and simple control. As a result, the industry market gradually replaces the traditional brushed dc motor and induction motor with the BLDCM. The BLDCM is traditionally set with Hall-effect sensors for applying the correct commutation information. Generally speaking, the Hall-effect is apt to be affected easily by noise and its low resolution such that motor operation speed is limited. The encoder has better resolution but higher cost. In this paper, the adaptive network-based fuzzy inference system will be used to improve the motor speed response. The core of the proposed controlled system is dsPIC30F6010A of Microchip, and Hall-effect sensor is used to match six-step squarewave driving to control the motor current. Finally, the experimental results will verify the proposed method.

Fuzzy supervised online coactive neuro‐fuzzy inference system‐based rotor position control of brushless DC motor

In this study, fuzzy supervised online coactive neuro-fuzzy inference system (CANFIS)-based rotor position controller is presented for brushless DC (BLDC) motor. An online learning algorithm is employed for updating premises and consequent parameters of the CANFIS controller. The rotor position control of BLDC motor is simulated using MATLAB/Simulink Toolbox. The dynamic response of the BLDC motor with proposed controller is measured for standard sinusoidal reference input. The effectiveness of the proposed controller performance is compared with fuzzy proportional-integral derivative controller, adaptive neuro-fuzzy inference system controller and supervised recurrent fuzzy neural network controller. The proposed controller is able to solve the problem of non-linearities and uncertainty due to reference input changes of BLDC motor and guarantees fast and accurate dynamic response to a remarkable steady-state performance. Also, experimental hardware results are presented to demonstrate the validity and effectiveness of the proposed control scheme using field programmable gate array chip. Experimental results show that the proposed control scheme can achieve a more favourable tracking performance without the chattering phenomena in the control effort.

Sensorless Control for High-Speed Brushless DC Motor Based on the Line-to-Line Back EMF

A sensorless control method for a high-speed brushless DC motor based on the line-to-line back electromotive force (back EMF) is proposed in this paper. In order to obtain the commutation signals, the line-to-line voltages are obtained by the low-pass filters. However, due to the low-pass filters, wide speed range, and other factors, the actual commutation signals are significantly delayed by more than 90 electrical degrees which limits the acceleration of the motor. A novel sensorless commutation algorithm based on the hysteresis transition between “90-α” and “150-α” is introduced to handle the severe commutation retarding and guarantee the motor works in a large speed range. In order to compensate the remaining existing commutation errors, a novel closed-loop compensation algorithm based on the integration of the virtual neutral voltage is proposed. The integration difference between the adjacent 60 electrical degrees interval before and after the commutation point is utilized as the feedback of the PI regulator to compensate the errors automatically. Several experiment results confirm the feasibility and effectiveness of the proposed method.