Research Of DMC-Single Neuron PID Cascade Control Arithmetic In Dealing With Time-Delay Systems

In industrial process ,it is more difficult to control the time-lag system. The research of control method and mechanism of time-lag system is always a popular topic in domestic and foreign process control circles .The scholars from all corners of the world not only employ themselves on some traditional programs such as modified PID control ,sampling PI control Smith Predictor ,Dahlin algorithm etc , but also look for more efficient and more practical control methods .Based on the summarization of traditional control methods in dealing with time-lag system , in this dissertation ,we bring out that predictive control has good prospect for dealing with time-lag system .Predictive Control can be divided into four types :IMC (Internal Model Control ), MPC (Modem Predictive Control ), DMC (Dynamic Matrix Control ) and GPC (Generalized Predictive Control ). Among them , DMC has advantages of convenient modeling, simple computing ,and better robust . Therefore DMC applies to industrial field control specially. Time-lag systems always have some non-linearity ,which makes the application of Predictive control some difficult . In the dissertation ,the author points out : introducing Neural Network into Predictive Control to compose intelligent control system can improve the control capacity notably .Especially single neuron ,has the advantages of simple structure convenient computing ,better real-time ability and stronger robust and adaptability .So it is realized easily to introduce single neuron into predictive control . Predictive Control ,which has developed in recent years ,can control time-lag system efficiently .Its trackability is better ,but its immunity is not satisfied. Moreover , its adaptability to non-linear system is not good .The cascade control system consisted of DMC and PID is provided with combinated structure. Dual optimal problem of trackabilityand immunity could be solved. In addition, the suitability to non-linear system could be improved via introducing NN into cascade system. An advanced predictive control system might be compose by above methods .Based on the DMC-PID cascade system, an improvement method is researched in this dissertation, that is, neuronPID is introdued into cascade system . This method can solve the problems of PID parameters' tuning , and improve the immunity . Dual optimal problem of trackability and immunity could be realized .Simulation experiments compared with single predictive control approve this method's feasibility and validity.The ability of dealing with the non-linear system is raised.