Tuning and Analysis of Multiple Interactive Loop Process by Model Predictive Control

General process consists of a number of loops that may be of interactive or non interactive types. A Single Input Single Output includes less complex interactive loops when compared with Multi Input Multi Output processes. In this work a multiloop interactive process known to be an Octal Tank Process (OTP) with 8 tanks is considered that are placed one above another. The input voltages are fed through two motors however the two outputs are water levels of the lower tanks. Similarly four inputs are fed through motors [email protected] ' ' 1 2 1 2 , , , V V V V and four outputs are water levels of h1, h2 and h5, h6. Optimized tuning methodology is applied to Multiple Interactive Loop Process through a Model Predictive Control (MPC) technique meant for calculating present and future values. Different tuning methods are applied to the process and response water levels of the tanks are observed. MPC can stabilize all linear processes effectively and efficiently, it tunes output and inputs simultaneously to provide more stable (optimized) output within the permissible limits of tolerance / error. 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 it is applied to OTP as a Nonlinear Model Predictive Control. KeywordNonlinear Model Predictive Control1, optimized2, OTP3, Predictive control 4, Horizon control 5