Aerospace industrial benchmarking and fault-tolerant control design using NARX model-based observer

Abstract

This paper proposes a fault tolerant control (FTC) design with a fault detection (FD) scheme for oscillatory failure cases (OFC) within the framework of “The Joint Airbus-Stellenbosch University Industrial Benchmark.” The FD scheme consists of an observer using “Nonlinear Autoregressive models with eXogenous input” (NARX) model, a signal processing part, and an FD algorithm. The proposed FTC design smoothly switches controllers by adjusting weights according to a sigmoid function using a reconfiguration scheme. The parameters in both schemes are optimized by grid search based on the metrics set to evaluate performance. These schemes have the advantage of the ease of industrial use because they have a simple structure, and parameters can be tuned in a systematic way. Simulation results show that the proposed FD scheme's ability to detect OFC meets the benchmark's prescriptions regardless of the defined turbulence or load factor input. The robustness of the proposed FD scheme was evaluated using a Monte Carlo method by varying the parameters of the actuator model to confirm the limit value of the OFC amplitude that can be robustly detected.