Improvement Of Intelligent Combination Scale Based On RBF-PID Control

The intelligent combination scale is widely used in the production line because of its high precision and high speed.It is mainly used for weighing irregular shapes and uneven mass distribution.However,the related technologies of intelligent combination scales are mainly in Japan,Europe and the United States.China’s intelligent combination scales are mainly imported from abroad through high prices.Therefore,China needs to independently develop high-precision and high-speed intelligent combination scales.In order to get a better performance of the combination scale,it is necessary to improve its related technology.The electromagnetic vibrating machine system in the intelligent combination scale is an indispensable link for realizing accurate and fast material feeding.The stability of the amplitude of the vibrating machine will largely determine the accuracy of the weighing and the yield of the product.However,the stability of the amplitude of the vibrator will be disturbed by fluctuations in ambient noise,signals,and voltage.Therefore,it is important to improve the anti-jamming performance of the electromagnetic vibrating feeder and the ability to maintain the feed stability.In response to the above problems,this paper has done the following work:(1)Establishment of an amplitude model of an electromagnetic vibrating feeder.Firstly,the motion state of the material in the working process of the combined scale is analyzed,and the most suitable motion state is determined,and the main parameters affecting the motion state are obtained.The working principle of the electromagnetic vibrating feeder is analyzed,and the importance of the amplitude stability to the feeding stability of the vibrating machine is demonstrated.The relationship between the amplitude and the voltage of the electromagnetic vibrating feeder is obtained by inference calculation,and the electromagnetic is finally established.Model of the amplitude control of the vibrating feeder.(2)Improve the RBF neural network PID controller and apply it to the electromagnetic vibration system of the combination scale.In order to make the amplitude of the electromagnetic vibrating feeder more stable and undisturbed,the RBF neural network PID controller is used for control,and the gradient descent method is used as the learning method of the RBF neural network PID controller.In order to increase the anti-jamming performance and robustness of the controller,the momentum factor is added to the algorithm’s parameter correction to optimize and improve the algorithm.The improved algorithm is compared with the basic RBF neural network PID control algorithm by MATLAB simulation.Faster,less reaction time,better fitting accuracy,when the simulation length increases,there is no divergence,and the target function can still be well approximated.The improved algorithm is applied to the control of the electromagnetic vibrating feeder.The simulation results show that the vibration system has stronger stability,good anti-interference performance,and better convergence and tracking performance.(3)Design a combination scale system and write a C language program.The design of the software and hardware system of the combination scale was designed.The main modules of the combination scale system were introduced in detail,and the hardware design was carried out.The program of the weighing scale of the combination scale was programmed to restore the production process.The actual operational process.The weighing model of the combined scale established in this paper is of great significance for the upgrade and optimization of the combination scale.