Fault-tolerant control using dynamic inversion and model-predictive control applied to an aerospace benchmark ⋆

This paper features the combination of model-based predictive control and dynamic inversion into a constrained and globally valid control method for fault-tolerant flight-control purposes. The fact that the approach is both constrained and model-based creates the possibility to incorporate additional constraints, or even a new model, in case of a failure. Both of these properties lead to the fault-tolerant qualities of the method. Efficient distribution of the desired control moves over the control effectors creates the possibility to separate the input allocation problem from the inversion loop when redundant actuators are available. An important part of this paper consists of the application of the proposed theory to an aerospace benchmark of high complexity. It is shown through an example that the theory is well-suited to the task, provided that fault-detection and isolation information is available continuously.