文章基本信息

标题：TUNING OF NONLINEAR MODEL PREDICTIVE CONTROL FOR QUADRUPLE TANK PROCESS
本地全文：下载
作者：P.SRINIVASARAO ; DR.P.SUBBAIAH
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：67
期号：2
出版社：Journal of Theoretical and Applied
摘要：Multi Input Multi Output (MIMO) interactive process is more complex than Single Input Single Output (SISO) systems. We consider two inputs and two outputs for four tank process, which is also called Quadruple Tank Process (QTP). It consists of two inputs as voltages fed to motor pumps and water levels in the lower tanks are the two outputs. The inputs are manipulated by setting of valves. It has four tank interactive loop operation consisting of two lower tanks and two upper tanks. The Model Predictive Control (MPC) technique is more suitable and gives optimized operational control in calculating present and future values of output. It tunes output and inputs simultaneously to provide more stable (optimized) output within the permissible limits of tolerance / error. MPC can stabilize all linear processes effectively and efficiently. It can also work with nonlinear processes under extreme conditions. It offers an optimized result under Predictive control �P� and Horizon control �M�, by tuning P and M and its application to QTP as a Nonlinear Model Predictive Control.
关键词：Nonlinear Model Predictive Control; Optimized; QTP; Predictive Control P; Horizon Control M