Grey Wolf Optimizer Based PID Controller for Speed Control of BLDC Motor

2021 ◽  
Author(s):  
Pallav Dutta ◽  
Santanu Kumar Nayak
Keyword(s):  
Pid Controller ◽  
Speed Control ◽  
Grey Wolf Optimizer ◽  
Bldc Motor ◽  
Grey Wolf

Model-Free PID Controller Based on Grey Wolf Optimizer for Hovering Autonomous Underwater Vehicle Depth Control

2020 ◽  
pp. 25-35
Author(s):  
Mohd Zaidi Mohd Tumari ◽  
Amar Faiz Zainal Abidin ◽  
Ahmad Anas Yusof ◽  
Mohd Shahrieel Mohd Aras ◽  
Nik Mohd Zaitul Akmal Mustapha ◽  
...  
Keyword(s):  
Pid Controller ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Model Free ◽  
Depth Control

scholarly journals Adaptive Speed Control Algorithm for BLDC Motor with Variable Input Source using PSO Algorithm

2019 ◽  
Vol 9 (2) ◽  
pp. 994-1002
Keyword(s):  
Wind Power ◽  
Pid Controller ◽  
Speed Control ◽  
Pso Algorithm ◽  
Input Power ◽  
Bldc Motor ◽  
Motor Speed ◽  
Power Generator ◽  
Wind Power Generator ◽  
Input Source

A sensor less BLDC (Brushless Direct Current) motor speed control is performed using PSO algorithm. The PSO algorithm manages the gain value of the PID controller. The speed of the BLDC motor is provided as the feedback to the controller. The error value is calculated by predetermined speed for the BLDC motor. Wind power generator is used as the input power source for driving BLDC motor. The output power of the wind power generator varies based on the wind speed. The variable input source for the BLDC motor affects the performance of the motor. In order to regulate the input voltage of the BLDC motor, SEPIC DC-DC converter is used. The PSO-PID controller controls the Gate pulse of the SEPIC converter. The model is developed in MATLAB/Simulink, the performance of the proposed PSO-PID control is measured in variable input power condition. The hardware model is developed using MSP430 microcontroller to test the efficiency of the PSO-PID controller in the real time environment.

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