Design And Implementation Of Brushless DC Motor Control System Based On Intelligent Algorithm

Today,the progress of urbanisation is increasing year on year,causing the urban population to rise in a straight line and the pressure on urban traffic to increase dramatically,a problem greatly alleviated by the existence of the metro.Screen doors have been created in response to the increasing need for travel safety in modern society.A screen door is a glass barrier separating the platform from the tunnel,providing a comfortable and safe environment for passengers to travel.Brushless DC motors(BLDCM)are the best choice for screen door drive motors due to their small size,high torque,simple maintenance and high reliability.With the rapid development of society,intelligent home appliances and electric vehicles have emerged one after another,so the study of BLDCM has practical engineering value and broad application prospects.Firstly,on the basis of reviewing a large amount of literature,the significance of studying this topic and the background of selecting the topic,as well as the current research status of BLDCM control methods at home and abroad,then the basic composition and internal structure of the motor,the working principle,the phase change principle and the speed regulation principle are introduced.Secondly,in the motor control process,the traditional PID control algorithm is used,which is not ideal for the control effect in non-linear control system applications.To address the above problems,this paper designs an improved Particle Swarm Optimization(PSO)algorithm to optimize the network parameters of Radial Basis Function Neural Network(RBF),and the optimized neural network model optimizes the PID.The optimized neural network model is used for online self-tuning of the PID controller parameters,and a dual closed-loop control system for BLDCM is designed.The simulation results show that the improved PSO-RBF neural network optimisation PID algorithm has good control effect and has particularly obvious control advantages in motor control.Then,the hardware circuit of the controller was designed using a 57BL55S06 BLDCM as the experimental motor.The hardware circuit schematic of the motor controller was drawn in Altium Designer-18 and the PCB board was made.The software development was mainly designed for the module,and the improved PSO-RBF optimised PID algorithm verified by simulation was ported to the microcontroller for experimentation,and the algorithm program was compiled and debugged in Keil-u Vision5 program development software to complete the software and hardware design.Finally,based on the completion of the above work,the experimental platform of the BLDCM control system was constructed using experimental equipment such as oscilloscope and laser velocimeter,and experimental tests were conducted on it.The experimental results show that the proposed control method has fast response,fast adjustment,large speed range and good suppression of speed fluctuation and torque pulsation.The results show that the designed controller is effective and reliable.