Predictive Control Algorithm in the Application of Computer Control
According to the error between the model predictive output and the future expected output,ILPC carries out an iterative learning and amending process on the current and the future control input vector,namely performs forecast,iterative amendment,forecast again,iterative amendment again repeatedly in the iterative domain.This paper gives a fast high-precision temperature control systems structure,characteristics and realization method.CARI model and the improved generalized predictive control method are used to improve the control precision of the system,and shorten the response time.The quick high precision temperature control systems structure and realization method are given,and according to the requirements of the task,the existing predictive control algorithm has been improved.Through the experiment,its temperature predictive control systems design scheme and realization method is proved to be reasonable and feasible.It can meet the demands for the expected temperature control.
predictive control algorithm computer control application
Liu Jing zhao yuchi
Northeast Petroleum University,The western part of Hebei Street No.550,Qinhuangdao City,Hebei province, P.R.China,066004
国际会议
太原
英文
1569-1572
2012-12-08（万方平台首次上网日期，不代表论文的发表时间）