Control reconfiguration

Abstract

The chapter is a description of our contribution in the form of algorithms for fault accommodation and control reconfiguration. The proposed FTC system detects a fault, estimates it and corrects a control law in order to compensate the fault effect observed in the control system. In order to create a control system, it is necessary to take into account the model of a plant as well as the state observer. Both models are designed using neural networks. As a result, the corrected control is obtained by an additional control loop that can influence the stability of the control system. Finally, the chapter also discusses the stability of the proposed control system. The proposed solutions are tested on the examples of a tank unit and two tank laboratory stands.