With the continuous improvement of enterprises’ requirements for production efficiency,the traditional quantitative weighing equipment can no longer meet the needs of increasingly developed industrial production in terms of speed and accuracy,so it’s an inevitable trend to research and develop the high-precision,high-speed multifunctional combined scales in the future.As the action execution system of the combination scale,the stepping motor system accepts the main control dispatch.Its slow response speed and poor stability largely limit the speed and qualification rate of the combination packaging.In addition,as a core processing unit,the main control in the combined scale also has problems such as low operating efficiency and low accuracy of processing algorithms.In view of the above problems,this paper optimizes the stepper motor control system of the combination scale based on the actual needs of the project,and further designs a remote monitoring system and human-machine interface to achieve more intelligent and convenient management.The main contents are as follows:Firstly,consult relevant literature to understand the development status of the combined scale control system.Based on a deep understanding of the working process and principles of the combined scale,the detailed optimization scheme of the stepper motor control system and remote monitoring system of the combined scale is developed.Secondly,according to the overall optimization plan,with the guidance of the modular idea and full consideration of electrical characteristics,the hardware selection and design of the main control circuit,stepper motor drive circuit,electromagnetic oscillation circuit,photoelectric detection circuit and remote transmission circuit have been completed.Thirdly,according to the specific functional requirements,transplant μCOS-II system to complete the corresponding task division,optimize the logic control algorithm of the main control system,and implement the segmented control and closed-loop feedback detection of the stepper motor system.Then,the remote monitoring system and human-machine interface were developed.Finally,establish a mathematical model of the stepper motor,PID control based on RBF neural network is introduced and improved,and then the improved RBF-PID algorithm is compared with the traditional PID control algorithm in MATLAB simulation to verify the improved RBF-PID algorithm advantages in improving the response speed and stability of stepper motors.Then,each module was used in the field until the function was implemented.Performance testing and data analysis were also performed for the stepper motor and the overall operation.The results prove that the combined scale designed in this paper can efficiently and stably complete the combined weighing and achieve remote monitoring to meet the needs of contemporary industrial production. |