Results 131 to 140 of about 590 (183)
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments. [PDF]
Saeed A +5 more
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Design and Implementation of BLDCM Driver Based on SOPC
The Brushless Direct Current Motor (BLDCM) has been researched by many scholars because of its simple structure, high power density, high reliability and easy control. In this paper, a driver based on the system on a programmable chip (SOPC) is designed to implement adjustable subdivision.
Da Wei Meng +3 more
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A discrete-time controller for the reduction of commutation torque ripple in BLDCM drives
In this paper, a control strategy for the current loop of brushless DC motor (BLDCM) drives is proposed to reduce the commutation torque ripple. The proposed method consists of two different controllers based on dead-beat structure. Two different electrical model of BLDCM for conducting and commutation periods are considered by the controllers that are
Ihsan Obayes Khudhair Khudhair +1 more
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Design of Small BLDCM for Aircraft Fuel Pump
Lecture Notes in Electrical Engineering, 2019Brushless DC motor (BLDCM) is increasingly used in industrial and military applications. This paper presents the design of electromagnetic performance and structure for a small BLDCM used in aircraft fuel pump, then test the motor for the design. The result shows the effectiveness of the small-size technology and the design of the sealing structure ...
Yaru Liu, Yu Zhou, Jin Cao
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A PFC Based BLDCM Drive for Low Power Household Appliances
This work presents a low cost PFC (Power Factor Correction) based BLDCM (Brushless DC Motor) drive targeting low power household appliances. Development of a highly efficient BLDCM drive with minimum amount of sensing requirement is the primary objective
Vashist Bist, Bhim Singh
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Machine Learning Implementation on BLDCM Commutation
2020 IEEE 2nd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS), 2020One way to do the commutation process at BLDCM is the six-step method. And hardware implementation for this method can be done in various ways. This paper will try to run a BLDCM commutation process using machine learning. Machine learning is an artificial intelligence method that can respond based on the learning process that was carried out ...
Seng-Chi Chen, Dwi Sudarno Putra
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Sensorless Control Technique for BLDCM
2011 International Conference on Control, Automation and Systems Engineering (CASE), 2011Brushless DC motor system, the rotor position signal is essential for the normal operation of the entire system. Past rotor position sensor signal is detected by the position, but sensors are more affected by environmental drawbacks. Currently, no position sensor control technology has become a hot topic.
Lin Sha, Qifei Du
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Simulation and fault diagnosis for BLDCM
2013 25th Chinese Control and Decision Conference (CCDC), 2013Faults in BLDCM (Brushless Direct Current Motor) are difficult to avoid and may result in serious consequences. Effective FDD (fault detection and diagnosis) can improve motor reliability and avoid expensive maintenance. Therefore, the early examination and diagnosis to the motor common fault could prevent the disaster from occurring effectively, which
Zhonghai Li +3 more
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Application of ARM in BLDCM Control System
Applied Mechanics and Materials, 2011According to the control characteristics of brushless DC motor, a control system based on the LPC1700 ARM is designed, together with the corresponding external circuit. This system fully utilizes the high-performance 32-bit calculation of ARM chips and abundant hardware resources.
Wu Zhang, Xiao Xu, Xiao Yi Ying
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A Fuzzy PID Controller in the System of BLDCM
Applied Mechanics and Materials, 2013Based on the basic characteristics of fuzzy control theory and the general PID controller, a fuzzy PID controller is proposed for brushless DC motor (Brushless Direct Current Motor-BLDCM) control.The output signal PD-type is used as the input signal of fuzzy controller.Fuzzy PID controller can be adaptively adjust the PID control parameters to achieve ...
Li Fang Xu, Yong Jie Han
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