Design And Control Research Of Hydraulic Adjustment For Open Mixing Mill

Open mixing mill is the important equipment for production of radial tires. The performance of clearance adjustment will have a direct impact on the quality of products. For the traditional mechanical adjustment device in the actual production process, there are some shortcomings, such as a relatively long period of time to replace safety brakes, and poor precision of adjustment, especially for equipment and personal security protection is not enough.In order to solve the above problems, clearance adjustment of open mixing mill by electro-hydraulic servo drive is designed in this paper according to recent development of the device at home and abroad. The control methods of system are mainly studied. This topic has designed a conventional PID controller, ordinary fuzzy controller, fuzzy-PID dual-mode controller and fuzzy self-tuning PID controller, and simulation is compared. Finally, in view of the inadequacy of the fuzzy control method, a PID control system based on fuzzy RBF neural network is proposed, which absorbs the merit of self-learning function for neural networks.Simulation results show the system, with better performance, is able to meet the control requirements of clearance adjustment.First of all, on basis of reviewing a large number of domestic and foreign literature and meeting system parameters, the hydraulic system is designed. Through a rational derivation,nonlinear mathematical model of electro-hydraulic position control system is built up.The system dynamic and stability analysis is obtained with the use of the model.Secondly, the author regulates system by using PID controller since the response for the system can't reach the design requirements. Owing to linear time-invariant combination of traditional PID control, it is difficult for PID parameters to adapt to change in system parameters.Then,by researching on fuzzy control technology, the paper designs ordinary fuzzy controller, fuzzy-PID dual-mode controller and fuzzy self-tuning PID controller. Simulation results show that the latter two kinds of fuzzy controller has more effective performance, smaller overshoot and faster response, comparing to conventional PID controller and ordinary fuzzy controller.Finally, a PID control system based on fuzzy RBF neural network is proposed is proposed on the basis of fuzzy control and neural network theory. Simulation results show that the controller has a shorter response time, smaller overshoot and higher stable precision, comparing to dual-mode fuzzy-PID controller and fuzzy self-tuning PID controller. The controller can better meet the control requirements of hydraulic adjustment for open mixing mill.