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In this paper, a nonlinear adaptive super-twisting sliding mode fault tolerant controller is proposed for an uncertain MIMO aircraft system in the present of actuator malfunctions. The dynamics of aircraft attitude motion are divided into outer-loop subsystem and inner-loop subsystem. On this basis, the controllers are designed respectively to ensure the finite-time convergence. Through the online...
An adaptive high-gain observer is presented in this paper for actuator faults dynamic systems. In order to achieve the fault diagnosis and identification by state and fault parameters estimation of the actuator systems, an adaptive observer scheme incorporated with the method of high-gain observer is proposed. For the sake of covering the shortage in diagnosing the fault of actuator lock-in-place,...
In this note, adaptive neural network (NN) control is investigated for a class of uncertain nonlinear systems with asymmetric saturation actuators and external disturbances. To handle the effect of nonsmooth asymmetric saturation nonlinearity, a Gaussian error function-based continuous differentiable asymmetric saturation model is employed such that the backstepping technique can be used in the control...
In this paper, a robust adaptive sliding mode controller is proposed for a class of uncertain nonlinear multi-input multi-output (MIMO) systems. The upper bounds of the uncertainties are not needed in the procedure of the controller design, and the controller is continuous and guarantees the tracking error can converge to a small residual set. Furthermore, the size of the tracking error at steady...
In this paper, the fuzzy multiple model scheme is proposed based on a suitable combination of Takagi-Sugeno(T-S) fuzzy model and multiple model technique for actuator failure. The non-linear system is described by T-S fuzzy model. Based on multiple model structure for locally linearized models, an adaptive observer approach is studied. The fuzzy adaptive observer is described by a fuzzy fusion of...
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