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The authors have assessed the capability of various neural-aided classical feedback controllers that have been designed for autolanding of a typical modern high performance fighter aircraft under unknown actuator failures and external wind disturbances. Analysis of the fault tolerance envelopes of these neural-aided controllers revealed that position and rate saturation of the healthy actuators resulted...
Neural and sliding mode controllers are generally based on the principle of nonlinear dynamic inversion. This leads to control signals containing high frequency components. This can result in actuator rate limiting due to loss of phase at higher frequencies. Large control inputs, for example due to the saturation component of the sliding mode controller can also result in position saturation of the...
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