Generalized Predictive Control Of Networked Control Systems And Its Application In Synchronous Motor Control In Network

In recent years,with the improvement of network level,more control systems have been introduced into the network and become a closed-loop control system with a complete communication network and a remote type.Therefore,a network control system(NCS)However,it is precisely because of the introduction of a network in the control loop that a series of problems are caused,such as packet loss and packet mis-sequence.Especially the induced delay in the network seriously affects the control performance of the system.At the same time,there are few people involved in the research of motor synchronous control in the network environment.The original synchronous control structure is difficult to deal with the delay after the introduction of the network.Aiming at the delay existing in the network system,this paper uses a variety of methods to predict it and combines with the fast generalized predictive control to compensate for the delay in the network.The multi-input and multi-output fast generalized predictive control algorithm is successfully designed.Based on this,an improved synchronous control system is designed and an improved error-coupled control system is designed.Combined with multivariable fast generalized predictive control algorithm,it can be used for synchronous control and proportional synchronous control of multi-DC motors.The main contents of this paper are as follows:(1)Aiming at the instability of the control system and the complexity of the controller parameters caused by the random delay in the industrial network,this paper uses multiple non-linear fitting methods to predict the random delay of the network,and can use the offline method Network delay prediction,to solve the complex parameter adjustment,training speed,generalization difficulties and other issues,without sacrificing the accuracy of prediction.Finally,using the delay caused by industrial broadband in 2M broadband in Zhenjiang to Shanghai,the training and testing are carried out to verify the correctness and feasibility of the algorithm.(2)In view of the traditional generalized predictive control that only solves the single-input and single-output system and the solution of the Diophantus equation takes a long time,the implicit generalized predictive control algorithm needs the on-line identification system and can not support the multi-input multi-output system Problem,this paper designed a multivariable fast generalized predictive control algorithm.Its characteristics are first multi-input and multi-output system for decoupling,and then part of the system control.Finally,MATLAB simulation results show that the design of this algorithm is correct and effective.(3)Aiming at the complicated changes of the nodes appearing in the synchronous control system of the motor and the delay problem after the networked operation,at present most of the synchronous control structures of the motor can not be well controlled.In this paper,an improved cross-coupled structure is used in combination with multivariable fast generalized predictive control algorithm,and the characteristics of networked control system are used to realize networked synchronous control of multi-DC motor.Finally,MATLAB simulation examples are given to demonstrate that this method is effective and correct.