Solar<scp>power‐driven</scp>position sensorless control of permanent magnet brushless<scp>DC</scp>motor for refrigeration plant

Dubey, Menka; Sharma, Shailendra; Saxena, Rakesh

doi:10.1002/2050-7038.12408

Cited by 4 publications

(1 citation statement)

References 19 publications

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“…The speed is one of the important control objects for the Brushless DC Motor (BLDCM). Due to the real-time and the coupling of the BLDCM, the traditional method with Ziegler-Nichols (ZN) could not satisfy the operational requirements in the practical applications such as the cooler [1,2] and the electric vehicle [3]. BLDCM not only needs more complex control, but also requires higher control precision in the control of robot.…”

Section: Introductionmentioning

confidence: 99%

Parameter Tuning of Brushless DC Motor for Improving Control Effect with Worm Algorithm

Qin¹,

Wang²,

Xiao³

2021

EJEE

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Aiming at the problem of low control precision and small applicable scope caused by adjusting control parameters in Ziegler-Nichols (ZN) method, a parameter tuning method based on Worm algorithm (WOA) is proposed for Brushless DC motor. Firstly, the model of speed control is established by proportional integral method for Brushless DC motor with two - phase conduction and three - phase full bridge drive. Then the fitness function of the controller is constructed by the Integral Absolute Error (IAE). Finally, the early optimization process, the later movement rule and the peak extraction rule are determined for WOA, and the controller parameter tuning process is designed. Simulation results under constant and sinusoidal conditions show the effectiveness of the proposed method. WOA was compared with ZN, genetic algorithm (GA), differential evolution algorithm (DE) and particle swarm optimization algorithm (PSO) in the experiment. The experimental results show that the control effect (CE) of WOA under uniform speed has been improved by 2.56% on average, and has been improved by 16.93% on average under sinusoidal speed. Compared with previous methods, this method can be used for parameter adjustment of complex control with higher control precision.

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Section: Introductionmentioning

confidence: 99%

Parameter Tuning of Brushless DC Motor for Improving Control Effect with Worm Algorithm

Qin¹,

Wang²,

Xiao³

2021

EJEE

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Design and development of quasi‐resonant switched step‐up converter for solar energy‐based brush‐less DC motor drive

Dubey¹,

Sharma²,

Saxena³

2021

Int Trans Electr Energ Syst

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Summary The air‐conditioning sector experiences sustainable growth in recent time and resulted in hike in energy demands. To preserve the environment, reduce energy consumption, and improve social‐economic developments, these air‐conditioning loads should be either curtailed or driven using the green energy. In this work, the design, development, and control of quasi‐resonant switched step up converter (QRSSUC) are presented for solar energy‐based brushless DC motor (BLDCM) drive coupled with air‐conditioning loads. The QRSSUC is placed in between solar photovoltaic supply (SPVS) and DC link of a voltage source inverter. It reduces the switching losses by using zero voltage switching across the switch. The proposed system advises a promising option for solar energy‐based solution for air‐conditioning loads. The proposed position sensor less BLDCM drive is cost effective and more reliable as mechanical sensors are completely eliminated from the control. The MATLAB R2019 and dSPACE 1104 controller board are used to obtain simulation and experimental results. Test results are obtained on a developed prototype to verify that the proposed system can operate under the wide range of solar irradiations.

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Torque Ripple Reduction Control Strategies of Sensor and Sensorless BLDC Motor: A Review

Karthika

Nisha

2023

Lecture Notes in Electrical Engineering

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Solarpower‐drivenposition sensorless control of permanent magnet brushlessDCmotor for refrigeration plant

Cited by 4 publications

References 19 publications

Parameter Tuning of Brushless DC Motor for Improving Control Effect with Worm Algorithm

Parameter Tuning of Brushless DC Motor for Improving Control Effect with Worm Algorithm

Design and development of quasi‐resonant switched step‐up converter for solar energy‐based brush‐less DC motor drive

Torque Ripple Reduction Control Strategies of Sensor and Sensorless BLDC Motor: A Review

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