Tracking Dynamic System Based on Developing BLDC Motor Model

Abstract

Brushless direct current (BLDC) permanent magnet machines are used in a wide range of applications due to their multiple advantages. It is important to develop stable drivers that meet the specific performance target of the application. It is extremely important to choose closed-loop parameters in case of multiple loops to control the BLDC motor. Most control systems work on the paths of dynamic targets in an area that needs certain types of motors to meet a set of goals, the most important of which is accuracy. Various soft computing technologies are currently being used to improve the response of control systems (BLDC) motors to build models using MATLAB software and Simulink space. This paper describes tracking a specific dynamic object by developing the BLDC motor model responsible for tracking purposes by designing a specific mechanism. A new intelligent control unit designed with a new theory (hall sensor) was used to solve the problem of tracking nonlinear dynamic systems. The proposed model showed good simulation results to track the position and speed of the dynamic object.