In this paper, robust nonlinear tracking control design and operator based fault detection design employing robust right coprime factorization for an uncertain heat exchange tank process are proposed. To prevent unexpected temperature variation and accident of heating an empty tank, liquid level in tank must be controlled simultaneously with the liquid tempera ture, where control is Multi-Input Multi-Output (MIMO) control. Therefore, first, nonlinear models of liquid temperature process and liquid level system are obtained. This liquid level model is the system assumed the fault occurrence, meanwhile those models have uncertainties and coupling effects. Second, operator based nonlinear feedback tracking control system are realized by using robust right coprime factorization corresponding to the MIMO process. Third, operator based fault detection and compensation design is proposed, and this design is inserted into the control system. Moreover, tracking controllers are designed to obtain desired tracking performance. Finally, the effectiveness of the proposed models and methods is confirmed by simulations.
In this paper, by using a distributed control system (DCS) device, a robust tracking control system is proposed based on robust right coprime factorization for a heat exchanger actuated by a water level process with coupling effects and uncertainties. Firstly, nonlinear models of water level and temperature processes with coupling and uncertainties are given. Secondly, nonlinear feedback tracking control systems corresponding to a multi-input multi-output (MIMO) process are realized by using operator-based robust right coprime factorization. Meanwhile, stability of the control systems is guaranteed by using robust stability conditions compatible with the MIMO process including coupling effects, and to improve the output tracking performance, tracking controllers are designed. Finally, the effectiveness of the proposed design scheme is confirmed by simulation and experimental results.
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