This article investigates the problem of simultaneous attitude and vibration control of a flexible spacecraft to perform high precision attitude maneuvers and reduce vibrations caused by the flexible panel excitations in the presence of external disturbances, system uncertainties, and actuator faults. Adaptive integral sliding mode control is used in conjunction with an attitude actuator fault iterative learning observer (based on sliding mode) to develop an active fault tolerant algorithm considering rigid-flexible body dynamic interactions. The discontinuous structure of fault-tolerant control led to discontinuous commands in the control signal, resulting in chattering. This issue was resolved by introducing an adaptive rule for the sliding surface. Furthermore, the utilization of the sign function in the iterative learning observer for estimating actuator faults has not only enhanced its robustness to external disturbances through a straightforward design, but has also led to a decrease in computing workload. The strain rate feedback control algorithm has been employed with the use of piezoelectric sensor/actuator patches to minimize residual vibrations caused by rigid-flexible body dynamic interactions and the effect of attitude actuator faults. Lyapunov's law ensures finite-time overall system stability even with fully coupled rigid-flexible nonlinear dynamics. Numerical simulations demonstrate the performance and advantages of the proposed system compared to other conventional approaches.

In this paper, a novel approach for two-loop control of the DC-DC Cuk converter in discontinuous conduction mode is presented using a sliding mode controller. The proposed controller can regulate the output of the converter in a wide range of input voltage and load resistance. controller parameters are selected using PSO algorithms. In order to verify the accuracy and efficiency of the developed sliding mode controller, the proposed method is simulated in MATLAB/Simulink. It is shown that the developed controller has, the faster dynamic response compared with standard integrated circuit (MIC38C42-5) based regulators.

Application of atomic force microscope as a manipulator for pushing-based positioning of nano-particles has been of considerable interest during recent years. However a detailed modelling of the interaction forces and control on the AFM tip is important for prosperous manipulation control, a reliable control of the AFM tip position during the AFM-based manipulation process is a main issue. The deflection of the AFM tip caused by manipulation force is the one of nonlinearities and uncertainties which causes difficulties in accurately controlling the tip position, the tip can jump over the target nano-particle then the process will fail. This study aims todesign a sliding mode controller (SMC) as robust chattering-free control in contact-mode to control the AFM tip during nano-manipulation process for accomplishment of a precise and effective nano-manipulation task in order to achieve the full automatic nano-manipulation system without direct intervention of an operator. The nano-probe is used to push the spherical micro/nano-particle. Nano-scale interaction forces, elastic deformation in contact areas, and friction forces in tip/nano-particle/substrate system are considered. The first control purpose is controlling and positioning the microcantilever tip at a desired trajectory by the control input force which can be exerted on the microcantilever in the Ydirection by a piezo actuator located in the base of the microcantilever. The second control target is PZT-driven positioning stage in AFM-based nanomanipulation in the X, Y in the flat surface. The simulation results show that the designed controllers have been able to make the desired variable state to track specified trajectory during a nano-scale manipulation.

In this paper a new sliding mode controller for congestion problem in TCP networks has been proposed. Congestion occurs due to high network loads. It affects some aspects of network behavior. Congestion control prevents or reduces loads in bottlenecks and manages traffic.  By using control theory, closed loop data transfer processing structure in computer networks can cope with the congestion problem. Sliding mode controller can provide robust behavior in presence of uncertainties and disturbances. In sliding mode control, states should be reached to a predefined surface (sliding surface), in a limited time and remain on the same surface over time. Moving on the sliding surface is independent of the uncertainties, so this technique is an approach of robust control. After applying controller to the system, stability of the system with controller has been studied by Lyapunov stability approach. Simulation results show the efficiency of the sliding mode controller in different scenarios.

A novel nonlinear controller is proposed to track active and reactive power for a Brushless Doubly-Fed Induction Generator (BDFIG) wind turbine. Due to nonlinear dynamics and the presence of parametric uncertainties and perturbations in this system, sliding mode control is employed. To generate a smooth control signal, dynamic sliding mode method is used. Uncertainties bound is not required in the suggested algorithm, since the adaptive gain in the controller relation is used in this study. Convergence of the sliding variable to zero and adaptive gain to the uncertainty bound are verified using Lyapunov stability theorem. The proposed controller is evaluated in a comprehensive simulation on the BDFIG model. Moreover, output performance of the proposed control algorithm is compared to the conventional and second-order sliding mode and proportional-integral-derivative (PID) controllers.