This paper presents a comparative study between various control strategies. The design of different controllers, the sliding mode controller, the self tuning fuzzy logic controller, the fuzzy logic controller and the classical PI controller are proposed. The simulations results showed the performances and limits of the different cited controllers. In fact, the sliding mode controller is charact...

In this paper, a design approach adaptability of fuzzy sliding-mode controller (AFSMC) with a decoupled method is proposed. The decoupled method provides a simple way to achieve asymptotic stability for a class of fourth-order nonlinear system. Moreover, heuristic sliding factors are implemented as functions. Therefore, the sliding factor in hybrid fuzzy sliding mode controller is given without...

A method of sliding mode control based on a fuzzy model identified through input output data is presented. In this approach the advantages of the sliding mode control technique are maintained, however parametric uncertainty and unmatched disturbance are acknowledged as limiting factors of controller performance and their effects are sought to be minirnised. Controller performance is compared wi...

sliding mode control (smc) is a powerful approach to solve the tracking problem for   dynamical systems with uncertainties. however, the traditional smcs introduce actuator chattering phenomenon which performs a desirable behavior in many physical systems such as servo control and robotic systems, particularly, when the zero steady state error is required.  many methods have been proposed to el...

Abstract: Although the general sliding mode control has the robust property, bounds on the disturbances and parameter variations should be known a priori to the designer of the control system. Fuzzy logic provides an effective way to design a controller of the system with disturbances and parameter variations. Therefore, combination of the best feature of the fuzzy logic control and the sliding...

this work proposes a neural-fuzzy sliding mode control scheme for a hydro-turbine speed governor system. considering the assumption of elastic water hammer, a nonlinear mode of the hydro-turbine governor system is established. by linearizing this mode, a sliding mode controller is designed. the linearized mode is subject to uncertainties. the uncertainties are generated in the process of linear...

This paper presents a novel fuzzy logic based Adaptive Super-twisting Sliding Mode Controller for the control of dynamic uncertain systems. The proposed controller combines the advantages of Second order Sliding Mode Control, Fuzzy Logic Control and Adaptive Control. The reaching conditions, stability and robustness of the system with the proposed controller are guaranteed. In addition, the pro...

In this paper, a sliding mode fuzzy controller for a nonholonomic wheeled mobile robot is proposed for tracking desired trajectories. We know that sliding mode control can deal with non linearities of control system and is robust. However, it has drawbacks such as a chattering. So, we introduce a fuzzy logic in order to reduce this phenomenon. Two sliding mode fuzzy controllers (SMFC) are descr...

This article develops a new output feedback tracking control scheme for uncertain robot manipulators with only position measurements. Unlike the conventional sliding mode controller, a quasi-continuous second-order sliding mode controller (QC2C) is first designed. Although the QC2C produces continuous control and less chattering than conventional sliding mode and other high-order sliding mode c...