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.
The designed MATLAB/SIMULINK Toolbox is dedicated to develop and design predictive Self-Tuning Control (STC) algorithm for the time-delayed systems. In practice, many processes can exhibit time-delay in their dynamic behavior, which is mainly caused by a time needed for transport of the energy, information, or mass. In lights of these facts, it is necessary to develop suitable algorithm and verify its correct dynamic behavior using simulation first, so this Toolbox can be used in advantage. This paper deals with the basic principles of Model Predictive Control (MPC), calculation of control law, design process of the predictive controller and recursive identification of control process using Recursive Least Squares Method (RLSM). There are also many cases when compensation of measurable disturbance is required, so this Toolbox allows compensating of this disturbance.
Many 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 light of these facts, the goal of this paper is to design predictive algorithm for control of 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. The next section describes simulation and also real-time verification of designed regulator which was verified in MATLAB/SIMULINK.
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