Adaptive compensation for infinite number of actuator failures with an application to flight control

Abstract

SummaryIn this paper, a new adaptive compensation control scheme is proposed for a class of nonlinear systems with unknown parameters and unknown actuator failures. The normal operation case and different failure cases of actuators are unified through a time‐varying model. By introducing a smooth function, an integrable auxiliary signal, and a bound estimation approach, the effect of failures is successfully compensated for, and the total number of failures is not restricted to be finite. It is shown that all closed‐loop signals are globally uniformly bounded, and the tracking error converges to zero asymptotically regardless of the possibly infinite number of actuator failures. An application to the longitudinal dynamic model of a twin otter aircraft is presented to illustrate the effectiveness of the proposed scheme. Copyright © 2015 John Wiley & Sons, Ltd.

Event‐triggered neural control for non‐strict‐feedback systems with actuator failures

“…It is convenient for the internal dynamics of the actuator is ignored. In this paper, similar to [47, 48], actuators operate in a fault model, and it can be modelled as where is the output of the j th actuator, is the event‐triggered input and the input of the j th actuator, and is the unknown constant representing different actuator fault models, is the time at j th actuator fault begins and is the time at the j th actuator fault ends.…”

Event-triggered adaptive control of a class of nonlinear systems with non-parametric uncertainty in the presence of actuator failures

“…Taking into account the importance of this feature for a controller, in Xing et al (2017b) the control method of Xing et al (2017a) has been strengthened to deal with actuator failures. In Xing et al (2017b), an adaptive event-triggered approach for control of a class of nonlinear systems with parametric uncertainty and fault in actuators has been proposed by considering the actuator failures modelled in Wang and Guo (2015) and Wang and Wen (2010). It is worth noting that the control method introduced in Xing et al (2017a), similar to that presented in Xing et al (2017b), does not cover the case that the direction of control is unknown because the information of the sign of the function specifying the input direction is used in obtaining the control efforts in these methods.…”