Abstract
Brushless Direct Current (BLDC) motor is the most popular useable motor for automation and industry. For good performance of the BLDC motor hunger driving circuit but the driving circuit is costly, complex control mechanism, various parameter dependency and low torque. The Proportional Integral (PI), Proportional Integral Derivative (PID), fuzzy logic, adaptive, Quantity Feedback Theory (QFT), Pulse Width Modulation (PWM) controller are the common types of control method existing for the BLDC motor. This research explores some well-working experiments and identified the PID controller as far more applicable controller. For well efficacious and useful in getting satisfied control performance if the adaptability is implemented. This research proposed a combined method using PID and PID auto tuner, having the ability to improve the system adaptability, given the method named as adaptive PID controller. To verify the performance, MATLAB simulation platform was used, and a benchmark system was developed based on the actual BLDC motor parameters, auxiliary systems, and mathematically solved parameters. All work has done by using MATLAB/ Simulink.
Highlights
Brushless DC motor is getting more popular and operational motor than the other DC motor
This study aims to develop a controller drive to control Brushless Direct Current (BLDC) motor speed and torque and compare controller output result with benchmark controller
The Adaptive Proportional Integral Derivative (PID) auto-tuner block is containing both controllers in series
Summary
Brushless DC motor is getting more popular and operational motor than the other DC motor. Controlling the motor speed of the BLDC requires the controller circuit framework for good productivity. The electronic force motor speed controller for the inward circle tuning and an outside circle for inverter permits the very voltage of the DC vehicle [2]. To control this framework, the DC supply required relies upon the motor RPM and its capacities. This research article is concluded by a conclusion, Section number V
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More From: International Journal of Advanced Computer Science and Applications
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