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.

Because of high energy storage capability, Permanent Magnet Synchronous Motors are very important in electrical drive industry. Speed control of these motors suffer from parameter variations such as variable inductance. In this paper, The Integral-Terminal Sliding Mode Control ((ITSMC)) method is used to control the speed (torque) along with d-axis current control. This method like classic Sliding control is robust to motor variable parameters variations,in addition, it has a higher dynamic response, and its output error in a finite time will converge to zero. In this paper, the results of simulation with Simulink/Matlab and experimental implementation of (ITSMC) based on a TMS320F28335 processor are presented.

This paper considers the work entitled “ Dynamic Sliding Mode Control Design for Nonlinear Systems Using Sliding Mode Observer” that is published in Tabriz Journal of Electrical Engineering where the authors try to design a Sliding Mode control design with Sliding Mode observer for a class of nonlinear systems. In this paper, we first give a brief overview of the proposed approach of aforementioned paper to the observer design. For the convergence of the estimation error, there is a proposition that we will discuss the validity of its proof. Finally, with a change in dynamic error equations of observer, its stability is proven.

An important consideration in control issues is control of nonlinear system. Sliding control that can control the system desirably in the presence of unstructured uncertainties of carelessness in specifying parameters of the system. In Sliding control, also called variable structure control, the main objective of the controller is achieved by introducing a Sliding surface. One of the fundamental problems which may occur in Sliding control is the chattering phenomenon on unwanted oscillation around the Sliding surface. Different solutions are introduced to eliminate chattering. One of the commonest solutions is using a constant boundary layer round the Sliding surface. In this paper, efforts are made to reduce chattering and to increase stability of the system by varying the Sliding controller with a constant boundary layer. Finally, the mathematical Model of a pendulum/cart in the presence of uncertainty is developed and the results of the simulation of the introduced controllers are compare.

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.

This paper presents a new adaptive Sliding-Mode flux observer for speed sensorless and rotor flux control of three-phase induction motor (IM) drives. The motor drive is supplied by a three-level space vector modulation (SVM) inverter. Considering the three-phase IM Equations in a stator stationary two axis reference frame, using the partial feedback linearization control and Sliding-Mode (SM) control, the rotor speed and rotor flux controllers are derived first. These controllers are capable of making the drive system states follow the system nominal trajectories in spite of the motor parameter uncertainties and external load torque disturbance. Then, based on the Lyapunov theory, a SM observer is developed in order to estimate the rotor flux, rotor speed and rotor resistance simultaneously. In addition, in order to satisfy the persistent excitation (P.E) condition, a low frequency low amplitude ac signal is superimposed to the rotor flux reference command. Finally, the validity and effectiveness of proposed control approach is verified by computer simulation.

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.