Linear Predictive Control Of Nonlinear Time-Delayed Model Of Liquid-Liquid Stirred Heat Exchanger

Abstract

Many nonlinear processes in industry exhibit time delay in their dynamic behavior. Time delay is mainly caused by the time required to transport energy, information or mass, but it can be caused by processing time as well. There are also many cases when compensation of measurable disturbance is required. In case, when the nonlinearity of system is not significant, it can be controlled by linear control method, but accurate system identification in the operating area should be performed. Moreover the suitable control algorithm, which is able to handle these requirements, should be used. In light of these facts, the goal of this paper is to design predictive algorithm for control of nonlinear time-delayed systems with the possibility of measurable disturbance compensation. Basically this paper deals with the essential principles of model predictive control (MPC), design process of the predictive controller, calculation of control law and identification of control process. Identification of control process is also an important part of MPC. This paper describes simulation and verification of designed regulator which was verified in MATLAB/SIMULINK as well.

Model predictive control of room temperature with disturbance compensation

“…After substituting (12) to (6) it is possible to get the equation of closed control circuit with predictive control…”

“…One of the most popular MPC algorithm is General Predictive Control (GPC), which is also used in this paper. This algorithm can be used for a wide range of processes, including those with simple dynamics or systems with time delay, unstable systems or system with more complex dynamics [6]. This paper discusses the issue of temperature regulation in separated offices of building base on MPC strategy and it is organized as follows.…”