Controlling and predicting friction is a significant scientific technological issue. It our everyday experience that two smooth surfaces slide more easily over each other than rough ones, due to interlocking of the surfaces. However, interpretation such forces difficult since contributions arise from e.g. adhesion forces, are harder control. Here, we demonstrate designer macroscopic roughness c...

An adaptive fuzzy sliding mode control scheme is presented in this article. Despite the advantages of sliding mode control design for uncertain dynamic systems, classical sliding mode control has a major problem in the form of chattering, produced by the rapid switching used to conduct the state trajectories toward the sliding surfaces. A variety of methods are used to achieve chattering-free m...

Combining fuzzy logic controller and sliding mode controller to exploit the superior sides of these two controllers is an active area in control theory. The dynamic behaviour of the hybrid system named as fuzzy sliding mode controller depends quite heavily on the sliding surface on which the control structure is switched. In this study, the slope of the sliding surface is continuously updated b...

In this paper, we will propose a cooperative control approach that is based on the hybrid grey-neural network with sliding mode control (HGNS) methodology. The main purpose is to eliminate the chattering phenomenon such that the two-link robotic manipulator has a superior tracking response. Moreover, the system performance obtained via the method of the HGNS can be improved. In the present appr...

This paper presents the development and performance analysis of intelligent control techniques such as Sliding Mode controller and Fuzzy logic Controller for Brushless DC (BLDC)motor drives. Today, strong mathematical tools used in new control methodologies to design adaptive nonlinear robust controller with acceptable performance. One of the best nonlinear robust controller which can be used i...

This paper proposes a novel adaptive Super-Twisting sliding mode control for a microgyroscope under unknown model uncertainties and external disturbances. In order to improve the convergence rate of reaching the sliding surface and the accuracy of regulating and trajectory tracking, a high order Super-Twisting sliding mode control strategy is employed, which not only can combine the advantages ...

In recent years, underactuated nonlinear dynamic systems trajectory tracking, such as space robots and manipulators with structural flexibility, has become a major field of interest due to the complexity and high computational load of these systems. Hierarchical sliding mode control has been investigated recently for these systems; however, the instability phenomena will possibly occur, especia...

Nowadays, the major advancements in the control of motion systems are due to the automatic control theory. Motion control systems are characterized by complex nonlinear dynamics and can be found in the robotic, automotive and electromechanical area, among others. In such systems it is always wanted to impose a desired behavior in order to cope with the control objectives that can go from veloci...

Sliding mode control with a fuzzy boundary layer is presented to hydraulic position control problem in this paper. A nonlinear hydraulic servomechanism which has an asymmetric cylinder is modeled and simulated first, then the proposed control scheme is applied to this model versus the conventional sliding mode control. Simulation results proved that the chattering free position control is achie...