This paper presents a review of DSTATCOM Topologies and power quality control Techniques. The used topologies are Three-phase Three-wire four-wire techniques Instantaneous reactive theory(IRP), Synchronous Reference Frame Theory(SRF), Model Predictive Control (MPC), Sliding mode control(SMC), Adaptive Neuro-fuzzy interface systems(ANFIS) Artificial intelligence based controllers. These to mitig...

controller design remains an elusive and challenging problem foruncertain nonlinear dynamics. interval type-2 fuzzy logic systems (it2fls) incomparison with type-1 fuzzy logic systems claim to effectively handle systemuncertainties especially in the presence of disturbances and noises, but lack aformal mechanism to guarantee performance. in contrast, adaptive sliding modecontrol (asmc) provides...

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...

The control of SRM was discussed: current chopping control, angle position control. This paper presents an inverter circuit and a fuzzy sliding mode control method to minimize the torque fluctuation and noise of the SRM. Based on the experimental results, Using the inverter circuit and fuzzy sliding mode control method can effectively minimize the torque fluctuation and noise of the SRM, For th...

Control of an industrial robot consist of nonlinear terms that causes the uncertainty and external turmoil and must be considered in control law designing. In this study, a control strategy will be presented for the robot arms, based on fuzzy logic control connection and sliding mode control (SMC). The using motivation of SMC in robotic is mainly the admirable features of it such as design simp...

In this paper to address a signed distance fuzzy sliding-mode control (SDFSMC) architecture which integrates cerebellar model articulation controller (CMAC). The proposed control consists of the SDFSMC and a feedforward compensation with modify CMAC network which to control the dynamics of the nonlinear systems with unknown structured nonlinearities without requiring a priori knowledge of the s...

This paper concentrates on the control of hybrid fuel cell/energy storage distributed generation systems under voltage sag in distribution systems. The proposed control strategy makes hybrid distributed generation system works properly when a voltage disturbance occurs in distribution system and it stays connected to the main grid. To distribute the power between dc power sources and stabilize ...

This study examines the feasibility of applying adaptive fuzzy sliding mode control (AFSMC) strategies to reduce the dynamic responses of bridges constructed using a lead rubber bearing (LRB) isolation hybrid protective system. Recently developed control devices for civil engineering structures, including hybrid systems and semi-active systems, have been found to have inherent nonlinear propert...

In this paper a modified design of a sliding mode controller based on fuzzy logic for a soft switching sepic converter is introduced. Here a proportional integral (PI)-type current mode control is employed and a sliding mode controller is designed utilizing fuzzy algorithm. Sliding mode controller ensures robustness against all variations and fuzzy logic helps to reduce chattering phenomenon in...

Proton exchange membrane fuel cells have been causing attention because of theirs many advantages. In order to maintain good working condition good controller is required. In this study, the mathematical model for proton exchange membrane fuel cell is developed. Then combining the characteristics of fuzzy control and sliding mode control fuzzy sliding mode controller is designed. The controller...