Multiple Sensor Fault Detection Algorithm for Fault Tolerant Control of BLDC Motor

Aqil, Muhammad; Hur, Jin

doi:10.3390/electronics10091038

Cited by 10 publications

(6 citation statements)

References 25 publications

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“…This paper proposes the use of binary circuits for defect detection based purely on the three Hall effect sensor signals [15], and it examines the defect detection circuit at the H a sensor during counterclockwise rotor rotation without a loss of generality [29]. The many causes of sensor failure are summarized in seven instances based on the sector in which the failure occurs.…”

Section: Proposed Fault Diagnosis Methodsmentioning

confidence: 99%

“…Therefore, the control loop (PID, FLC, or ANN) will activate the motor control algorithm, which will calculate the needed commutation signals that will activate and deactivate the inverters. The inverter block will transmit the necessary power to the BLDCM after receiving the corresponding input voltage to supply the motor [29].…”

Section: Bldc Motor Control Architecturementioning

confidence: 99%

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Fault-Tolerant Control Strategy for Hall Sensors in BLDC Motor Drive for Electric Vehicle Applications

2023

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The adoption of the brushless DC motor in the electric drive vehicle industry continues to grow due to its robustness and ability to meet torque–speed requirements. This work presents the implementation of a fault-tolerant control (FTC) for a BLDC motor designed for electric vehicles. This paper focuses on studying the defect in the Ha sensor and its signal reconstruction, assuming possible cases, but the same principle is applied to the other two sensors (Hb and Hc ). In this case, the fault diagnosis allows for the correction and reconstruction of the signal in order to compel the system to work despite the presence of a fault. Indeed, several robust control systems are used within the work to regulate the speed of the motor properly, such as control via fuzzy logic and control via a neural network. This paper presents three BLDC control configurations for EVs, PID, fuzzy logic (FL), and an artificial neural network (ANN), discusses the pros and cons, and develops corresponding mathematical models to enhance a fault-tolerant control strategy which is analyzed and studied using MATLAB-based simulations (by discussing the two cases, the steady state and the transient state), allowing for a novel design based on the analytical models developed. The results obtained from the simulation of this system improved the speed controlled by the neural network compared to the fuzzy logic controller. At the same time, the sensor failure had no effect on the system’s operation due to the efficiency of the FTC control.

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Section: Proposed Fault Diagnosis Methodsmentioning

confidence: 99%

Section: Bldc Motor Control Architecturementioning

confidence: 99%

Fault-Tolerant Control Strategy for Hall Sensors in BLDC Motor Drive for Electric Vehicle Applications

2023

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“…In the study by Aqil and Hur [7] the authors present three examples of FTC implementation in BLDC motors, utilizing sensor less, sensor-based, and hybrid approaches. All three approaches effectively detect and mitigate faults in BLDC motors, improving their reliability and performance.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Compared to existing fault detection and control methods [1][2][3][4][5][6][7][8][9][10], the proposed FTC technique offers a more comprehensive and integrated approach. It offers quicker reaction times, more precise problem localisation, and more effective fault mitigation by directly integrating the fault detection system with the control strategy.…”

Section: The Proposed Fault-tolerant Control Techniquementioning

confidence: 99%

A Methodology for Fault Tolerant Control of Brushless DC Motors with Damaged Hall-Effect Sensors Using Electronic Logic Gates

Kethiri,

Charrouf

2023

JESA

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Fault-tolerant control (FTC) is a design methodology that ensures control systems continue to function even with component faults or failures. FTC is particularly used in Brushless DC Motors (BLDC), electric motors that use electronic commutation instead of brushes. These motors use three Hall effect sensors, placed 120 degrees apart, to accurately determine the rotor's position and control its speed and torque. This paper presents a methodology using electronic logic gates to compensate for sensor faults by analyzing the behavior of the Hall effect signals, translating them into binary language, and enabling continued control of the BLDC motor. This methodology improves the fault-tolerant capability of BLDC motors and ensures their continued functioning despite component failures. Simulation and validation results using Matlab/Simulink demonstrate the effectiveness of the proposed methodology in ensuring the continued operation of the BLDC motor despite component failures. The proposed fault-tolerant control strategy can enhance the reliability and performance of BLDC motors, making it a valuable tool for various industrial applications.

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“…The operation of the whole system may be adversely affected as a result of the combined effects of these groups of motors. The combined impact of each of these distinct electrical machines can have a substantial effect on the network's ability to maintain its stability [2].…”

Section: Introductionmentioning

confidence: 99%

Multiple Industrial Induction Motors Fault Diagnosis Model within Powerline System Based on Wireless Sensor Network

et al. 2022

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The voltage supply of induction motors of various sizes is typically provided by a shared power bus in an industrial production powerline network. A single motor’s dynamic behavior produces a signal that travels along the powerline. Powerline networks are efficient at transmitting and receiving signals. This could be an indication that there is a problem with the motor down immediately from its location. It is possible for the consolidated network signal to become confusing. A mathematical model is used to measure and determine the possible known routing of various signals in an electricity network based on attenuation and estimate the relationship between sensor signals and known fault patterns. A laboratory WSN based induction motors testbed setup was developed using Xbee devices and microcontroller along with the variety of different-sized motors to verify the progression of faulty signals and identify the type of fault. These motors were connected in parallel to the main powerline through this architecture, which provided an excellent concept for an industrial multi-motor network modeling lab setup. A method for the extraction of Xbee node-level features has been developed, and it can be applied to a variety of datasets. The accuracy of the real-time data capture is demonstrated to be very close data analyses between simulation and testbed measurements. Experimental results show a comparison between manual data gathering and capturing Xbee sensor nodes to validate the methodology’s applicability and accuracy in locating the faulty motor within the power network.

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Multiple Sensor Fault Detection Algorithm for Fault Tolerant Control of BLDC Motor

Cited by 10 publications

References 25 publications

Fault-Tolerant Control Strategy for Hall Sensors in BLDC Motor Drive for Electric Vehicle Applications

Fault-Tolerant Control Strategy for Hall Sensors in BLDC Motor Drive for Electric Vehicle Applications

A Methodology for Fault Tolerant Control of Brushless DC Motors with Damaged Hall-Effect Sensors Using Electronic Logic Gates

Multiple Industrial Induction Motors Fault Diagnosis Model within Powerline System Based on Wireless Sensor Network

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