Study On The Strategy Of Multi-motor Synchronous Control System In Flexographic Printing Overprint

Multi motor system is a multi variable, nonlinear and strongly coupled model, it has long been one of the key technology and engineering practice in the field of research focus. In this paper,corrugated flexo printing overprint system is considered as an engineering background, and the multi motor system be seen as a specific object of study. Through access to a large number of domestic and foreign literature, Current synchronous control system were summarized and analyzed and compared. And in many books of PID control, fuzzy control,neural network control and synchronous control system speed compensation, etc. The multi motor synchronous control system is analysed and researched detailedly from the two aspects of the speed compensation and intelligent control algorithm.There is a complicated phenomenon of mutual coupling in multi motors of flexographic printing overprint system. the speed tracking of the motor cannot be realized by the traditional speed compensator.In this paper, PI controller is designed, which is similar to the feed-forward control. By adjusting the PI parameter, the speed tracking compensation can be realized effectively. However, the system is subject to external interference in real time, PI speed compensator can not meet the requirements of its control performance.On the basis of this paper, a fuzzy controller,which is based on the speed deviation and the deviation change rate as input, the ratio correction factor and the integral correction factor as output, is designed based on the PI speed compensator.And the fuzzy PI speed compensator is constructed By combining the PI controller with the fuzzy controller, the system can achieve more satisfactory results when the external disturbances are changed.Fuzzy PID strategy for the establishment of fuzzy control rules depend on the experience of experts is very serious, the membership function is more difficult to adjust. Neural network has strong parallel processing, associative memory and self-learning ability, the ability of fuzzy logic to express the knowledge of the fuzzy logic can be fullyplayed by the associative memory of the neural network. A fuzzy RBF neural network controller is designed in this paper, the way that the neural network learn by itself and adjust the weights of the network can achieve the adjustment of the membership function, and make the parameters of the PID controller achieve the best.Through the optimization design of the speed compensator and the controller in the multi motor synchronous system, the better synchronization control effect achieved.