INNOVATIVE APPROACH FOR STABILIZATION OF MULTIPLE INTERACTIVE TANK PROCESS WITH FEED FORWARD CONTROLLER AND FEEDBACK CONTROLLER

Abstract

All industrial processes have nonlinear dynamics Most control applications are based on linear models Linear models do not always give sufficient and adequate representation of the system Working with nonlinear models has given rise to a wide range of difficulties such as optimization problems slow processes and different approaches to guarantee stability In a multivariable non linear process mathematical modeling of physical systems has gained importance due to complex interactions within the system All parameters used in a model cannot be determined accurately Such processes are very often available in power plants chemical plants and in many other fields Major problem in a multivariable process is that loop interaction can arise and cause difficulties in feedback control design This problem can be solved using centralized like LQR Nonlinear Model Predictive control IMC fuzzy logic controller Model predictive controller etc or decentralized controllers like Proportional Integral Derivative controller Coefficient Diagram Method etc This thesis deals with nonlinear multiple interactive tank process whose performance is optimized by linear and nonlinear controllers First objective is to control the nonlinear Four Tank Process using PID CDM and MPC controllers for decentralized operation Objective number two is to control the nonlinear multiple Interactive Tank Process using MPC and NMPC controllers for centralized operations Simulated results are developed for nonlinear tank process by various control algorithms with satisfactory results The designed algorithm is fast enough and overcomes all limitations with respect to initial and final state values Feasibility and stability is ensured for both short as well as for long duration guaranteeing that the output reaches the set point Regarding reduction of time delay to reach final steady state with respect to set point is developed by Nonlinear Model Predictive control by tuning control parameters for multiple tank process using various MATLAB functions for all the conditions that are considered for evaluation