Fault-Tolerant Controller Comparative Study and Analysis for Benchmark Two-Tank Interacting Level Control System

In recent times fault-tolerant controller is a prime choice because of the handling capability of the multifunction into the closed-loop system irrespective of the faults and the external process disturbances in various engineering applications. This paper presents innovative fault-tolerant control scheme using a neural network, and the main contribution of this work is to design a feedforwarded back propagation neural network for controlling the actuator and system component (leak) faults into the level control process. By adopting the neural network as a fault-tolerant controller the efficacy of the fault-tolerant control scheme is dominating to the conventional scheme proposed by Dutta et al. (Real-time linear quadratic versus sliding mode liquid level control of a coupled tank system” In: International Conference on Devices, Circuits and Communications (ICDCCom 2014), IEEE, 12–12 September 2014, Ranchi, India, 2014; pp. 1–6. 10.1109/ICDCCom.2014.7024741). In addition, statistical analysis is done for validating the proposed fault-tolerant controller scheme and RMSE is also deliberate and give evidence of the performance of proposed FTC scheme. The Two-Tank benchmark Network Level Control structure is taken for simulation of both the fault-tolerant control scheme.