Abstract Sliding Mode Control (SMC) is a powerful methodology in the field of nonlinear feedback control with feature of proven robustness, performance and stability in the face of system nonlinearity and modeling uncertainties. Unfortunately, pure SMC controller suffers from two important problems; chattering phenomenon and formulation of equivalent dynamics. The aim of this paper is to design...

In this paper, we investigate the minimal time problem for the guidance of a rocket, whose motion is described by its attitude kinematics and dynamics but also by its orbit dynamics. Our approach is based on a refined geometric study of the extremals coming from the application of the Pontryagin maximum principle. Our analysis reveals the existence of singular arcs of higher-order in the optima...

This paper presents a new method to control of robot manipulator in task space. In the proposed control method, a combination of feedback linearization, sliding mode control and first-order TSK fuzzy system has been utilized. In this method, the bounds of structural and non-structural uncertainties by using feedback linearization method are reduced and to overcome the remaining uncertainties, s...

Linear systems controlled by a nonlinear version of the PI algorithm are under study. The modified PI controller in question is known in the literature as the Super–Twisting (STW) algorithm (see Levant (1993)), and it belongs to the family of second order sliding mode controllers. The considered closed–loop system exhibits self–sustained stable oscillations (chattering) when the relative degree...

Abstract: Sliding mode control is a very attractive control scheme because of its robustness against modelling imperfections and external disturbances. It has been successfully employed to the dynamic positioning of remotely operated underwater vehicles. In such situations, the discontinuities in the control law must be smoothed out to avoid the undesirable chattering effects. The adoption of p...

In this paper we present a nonlinear control using fuzzy sliding mode for wind energy conversion system based on a doubly-fed induction generator (DFIG) supplied by an AC-AC converter. In the first place, we carried out briefly a study of modeling on the whole system. In order to control the power flowing between the stator of the DFIG and the grid, a proposed control design uses fuzzy logic te...

Traditional sliding mode controller applied to a DC/DC boost converter for the improvement and optimization of the proton exchange membrane fuel cell (PEMFC) system efficiency, has the drawback of chattering phenomenon. Thus, based on the analysis of the mathematical model of PEMFC, this paper addresses the second order super twisting algorithm (STA) as a solution of chattering reduction, Stabi...

In this paper, an Adaptive Neural Network Sliding Mode Controller (ANNSMC) design approach is proposed. Sliding mode control method is studied for controlling DC motor because of its robustness against model uncertainties and external disturbances, and also its ability in controlling nonlinear and MIMO systems. The main drawback of SMC is a phenomenon, the so-called chattering, which can excite...

In this paper, a completely Decentralized control method (DNNS) for a class of large-scale interconnected systems is developed based on the combination of the sliding mode control with the Neural Network (NN). The standard sliding mode control (SMC) can be used; however, for systems with unknown interconnection terms and in the presence of large uncertainties, the result controller is with high...

In this study, injection velocity in injection molding process was analyzed. Since physical behavior of thermoplastic and environmental condition in injection machine such as high temperature and pressure make a complex dynamics in injection molding system, the injection velocity is consequently difficult to control by some classical control methods. Hence, robust and adaptive control (Fuzzy Sl...