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ELECTRICAL PROJECTS USING MATLAB/SIMULINK
Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
For Simulation Results of the project Contact Us
Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
Sensorless BLDC Motor Commutation Point Detection and
Phase Deviation Correction Method
ABSTRACT:
Phase-to-neutral voltage or neutral-to-virtual neutral voltage zero-crossing points (ZCPs)
detection method is usually used for sensorless BLDC motor commutation control.
Unfortunately, neither of them can be realized in lower speed range. In this paper, a simple
commutation point detection method is proposed based on detecting inactive phase terminal to
dc-link midpoint voltage. It eliminates the requirement of neutral wire or virtual neutral voltage
and provides an amplified version of back electromotive force (EMF) at the ZCPs which makes
the lower speed range detection possible. As the speed increasing, commutation point error is
enlarged due to the low pass filter (LPF) et al. Utilizing the symmetry of the terminal to midpoint
voltage the phase error can be corrected. However, due to the nonlinear relationship between the
detected voltage difference and phase error, it is difficult to regulate the error fast and robustly.
Therefore, a novel phase regulator based on fuzzy neural network (FNN) is proposed in this
paper with simple structure and learning ability. The validity of the proposed ZCPs detection
method and commutation instant shift correction method are verified through experimental
results.
KEYWORDS:
1. Brushless motor
2. Efficiency
3. Electric drive
4. Energy saving
5. Evaporative cooler
6. Power control
ELECTRICAL PROJECTS USING MATLAB/SIMULINK
Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
For Simulation Results of the project Contact Us
Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
SOFTWARE:MATLAB/SIMULINK
CONCLUSION:
In this paper, application of a brushless motor drive for a 5000 m3/h commercial evaporative
cooler to replace a conventional SPIM has been investigated. Efficiency test results indicate an
improved efficiency of at least 75% compared to SPIM. This would improve the energy ranking
grade of the evaporative cooler system from IE1 to IE5. Challenges involved in airflow reduction
due to various pressure differences caused by restrictions in ducting systems (length, bends, etc.)
were discussed. A newly constant power control method was proposed to replace the
conventional constant speed control method to overcome such challenges. Various approaches
were expressed for determination of feedback power, required in the proposed power control
method. For simplicity and cost efficiency, the input current of the drive, proportional to the
feedback power was employed for this purpose. Air flow rate test results confirmed that the
proposed method could maintain a desired flow at longer ducting systems or operating
conditions yielding higher pressure differences. Further improvements may be achieved in
increasing the system reliability and cost efficiency, using sensorless control methods or
employing directly coupled brushless motor assembly.
REFERENCES:
[1]. F. Sojdei, M. Eslami, N. Sayfi, ―Potential of Energy Conservation in the Industry of Iran‖,
ECEEE Industrial Summer Study Proceedings, pp. 323-330, 2014.
[2]. Fernando J. T. E. Ferreira, Aníbal T. de Almeida, ―Overview on Energy Saving
Opportunities in Electric Motor Driven Systems – Part 1 System Efficiency Improvement‖,
IEEE/IAS 52nd Industrial and Commercial Power Systems Technical Conference (I&CPS), pp.
1-8, 2016.
ELECTRICAL PROJECTS USING MATLAB/SIMULINK
Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
For Simulation Results of the project Contact Us
Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
[3]. R.G.D. Caetano, M.G.S.R. Pontes, V. L.L. Costa, R.S.T. Pontes, ―Energy efficiency
electric motor systems: Motor replacement analysis — A case study‖, Simposio Brasileiro de
Sistemas Eletricos (SBSE), pp. 1-6, 2018.
[4]. K.S. Rathikrindi, S.Paramasivam, L. Sandeep, ―Energy saving opportunities through
Variable Frequency Drive for Commercial Air Conditioners‖, 4th International Conference on
Electrical Energy Systems (ICEES), pp. 338-340, 2018.
[5]. D. Pullaguram, S. Mishra, S, Banerjee, ―Standalone BLDC based solar air cooler with
MPPT tracking for improved efficiency‖, IEEE 7th Power India International Conference
(PIICON), pp. 1-5, 2016

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Sensorless bldc motor commutation point detection and phase deviation correction method

  • 1. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 Sensorless BLDC Motor Commutation Point Detection and Phase Deviation Correction Method ABSTRACT: Phase-to-neutral voltage or neutral-to-virtual neutral voltage zero-crossing points (ZCPs) detection method is usually used for sensorless BLDC motor commutation control. Unfortunately, neither of them can be realized in lower speed range. In this paper, a simple commutation point detection method is proposed based on detecting inactive phase terminal to dc-link midpoint voltage. It eliminates the requirement of neutral wire or virtual neutral voltage and provides an amplified version of back electromotive force (EMF) at the ZCPs which makes the lower speed range detection possible. As the speed increasing, commutation point error is enlarged due to the low pass filter (LPF) et al. Utilizing the symmetry of the terminal to midpoint voltage the phase error can be corrected. However, due to the nonlinear relationship between the detected voltage difference and phase error, it is difficult to regulate the error fast and robustly. Therefore, a novel phase regulator based on fuzzy neural network (FNN) is proposed in this paper with simple structure and learning ability. The validity of the proposed ZCPs detection method and commutation instant shift correction method are verified through experimental results. KEYWORDS: 1. Brushless motor 2. Efficiency 3. Electric drive 4. Energy saving 5. Evaporative cooler 6. Power control
  • 2. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 SOFTWARE:MATLAB/SIMULINK CONCLUSION: In this paper, application of a brushless motor drive for a 5000 m3/h commercial evaporative cooler to replace a conventional SPIM has been investigated. Efficiency test results indicate an improved efficiency of at least 75% compared to SPIM. This would improve the energy ranking grade of the evaporative cooler system from IE1 to IE5. Challenges involved in airflow reduction due to various pressure differences caused by restrictions in ducting systems (length, bends, etc.) were discussed. A newly constant power control method was proposed to replace the conventional constant speed control method to overcome such challenges. Various approaches were expressed for determination of feedback power, required in the proposed power control method. For simplicity and cost efficiency, the input current of the drive, proportional to the feedback power was employed for this purpose. Air flow rate test results confirmed that the proposed method could maintain a desired flow at longer ducting systems or operating conditions yielding higher pressure differences. Further improvements may be achieved in increasing the system reliability and cost efficiency, using sensorless control methods or employing directly coupled brushless motor assembly. REFERENCES: [1]. F. Sojdei, M. Eslami, N. Sayfi, ―Potential of Energy Conservation in the Industry of Iran‖, ECEEE Industrial Summer Study Proceedings, pp. 323-330, 2014. [2]. Fernando J. T. E. Ferreira, Aníbal T. de Almeida, ―Overview on Energy Saving Opportunities in Electric Motor Driven Systems – Part 1 System Efficiency Improvement‖, IEEE/IAS 52nd Industrial and Commercial Power Systems Technical Conference (I&CPS), pp. 1-8, 2016.
  • 3. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 [3]. R.G.D. Caetano, M.G.S.R. Pontes, V. L.L. Costa, R.S.T. Pontes, ―Energy efficiency electric motor systems: Motor replacement analysis — A case study‖, Simposio Brasileiro de Sistemas Eletricos (SBSE), pp. 1-6, 2018. [4]. K.S. Rathikrindi, S.Paramasivam, L. Sandeep, ―Energy saving opportunities through Variable Frequency Drive for Commercial Air Conditioners‖, 4th International Conference on Electrical Energy Systems (ICEES), pp. 338-340, 2018. [5]. D. Pullaguram, S. Mishra, S, Banerjee, ―Standalone BLDC based solar air cooler with MPPT tracking for improved efficiency‖, IEEE 7th Power India International Conference (PIICON), pp. 1-5, 2016