Fine Tuning of Closed Loop BLDC Motor using Traditional PID Control

Brush less DC (BLDC) motor demands for variable speed operation to accord the adjudicated of effectiveness. Several speed controlling strategies are used in this perspective for the successful operation of BLDC motors at various speed levels. The existing techniques perform adequately for a fixed sp...

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Bibliographic Details
Published in2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) pp. 277 - 281
Main Authors Kumar, Daki Ajay, Chaudhary, Nalin, Pathi, Sridhar, Sai Pandraju, Thandava Krishna, Rani Depuru, Shobha, Bhukya, Muralidhar Nayak
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2022
Subjects
BLDC Motor
DC motors
Heuristic algorithms
Linearity
PD control
PI control
Ramp Speed and Dynamic Controller
Regulation
Shape
Traditional PID Controller
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Summary:Brush less DC (BLDC) motor demands for variable speed operation to accord the adjudicated of effectiveness. Several speed controlling strategies are used in this perspective for the successful operation of BLDC motors at various speed levels. The existing techniques perform adequately for a fixed speed reference. Existing techniques fail to follow the path during dynamic changes in reference speed. As a result, it is necessary to regulate the speed of the BLDC motor during dynamic conditions. The residual error content is minimized to achieve speed regulation. If the residual error content increases, there will be a difference between the actual and reference speeds, resulting in poor speed regulation. Therefore, in this paper the closed loop BLDC motor is fine tuned in perception of dynamic conditions. The traditional PID controller and Advanced Particle Swarm Optimization (APSO) algorithms are simulated under identical platforms using ramp, step and sinusoidal reference speeds.
DOI:10.1109/SSTEPS57475.2022.00075