Model Predictive Control Toolbox Design for Nonstationary Process

Abstract

Background. Model predictive control (MPC) approach is the basic feedback scheme, combined with high adaptive properties, which determines its successful use in the practice of design and operation of control systems. These advantages allow managing multidimensional objects with a complex structure, including nonlinearity, optimizing processes in real time within the constraints on controlled and managed variables, taking into account uncertainties in the task of objects and perturbations. Objective. The purpose of the paper is to design and analyse control system of carbon monoxide oxidation in the convector cavity based on MPC with linear-quadratic cost functional with constraint. Methods. The design of MPC is based on mathematical model of an object (relatively simple). At the current step, the prediction of object dynamic response on some final period of time (prediction horizon) is carried out; control optimization is performed, the purpose of which is to approximate the control variables of the prediction model to the corresponding setpoint on the predict horizon. The found optimal control is applied and measurement of an actual state of object at the end of a step is carried out. The prediction horizon is shifted one step further, and this algorithm are repeated. Results. The results of modeling the automatic control system show that the MPC approach provides maintenance of carbon dioxide content when changing oxygen consumption and overshoot caused by introduction bulk does not exceed 0.6 % that meets the technological requirements of the process. Conclusions. A fuse of the MPC and the quadratic functional given the constraints on the input signals is proposed. The problems of control degree of carbon oxidation in the convector cavity include non-stationarity, so the use of classical control methods is difficult. The MPC approach minimizes the cost function that characterizes the quality of the process. The predicted behaviour of a dynamic system will usually differ from its actual motion. The obtained quadratic functional is optimized to find the optimal control of degree of CO oxidation to CO2.

Implementation of model predictive control in a programmable logic controller

“…The development of the model-predictive controller consists of the following main stages: building a predictive model, determining the performance index characterizing the regulation quality, solving the optimization problemfinding the optimal control strategy that minimizes the performance index. To construct the predictive model of the MPC, we will use the mathematical model of the oxygen converter smelting mode [5]. For the automatic control system of the oxygen converter smelting process the problem of program control and stabilization in the presence of disturbances is considered, so it is necessary to switch to the incremental form (1) of the predictive model in the state space:…”

Study of the efficiency of using a heat pump in the heat supply system of a private house

“…The total installed capacity of heat pumps today is 15723 MW with an annual heat production of 86,673×10 15 J [2]. The installed capacity of geothermal heat pump systems [3] is about 6700 MW during energy production in the amount of 23,3×10 15 J/h.…”