Networked control system is essentially a closed loop system with a plant and controller, with the plant located in a remote area and controlling done through data communication networks. This depicts a nonlinear plant with stochastic time delay. This paper offers comparison of three models one of which is a novel method. Fuzzy logic controller is the best option amongst the conventional contro...

In this paper, the stability analysis of a GA-Based adaptive fuzzy sliding model controller for a nonlinear system is discussed. First, a nonlinear plant is well-approximated and described with a reference model and a fuzzy model, both involving FLC rules. Then, FLC rules and the consequent parameter are decided on via an Evolved Bat Algorithm (EBA). After this, we guarantee a new tracking perf...

The present paper proposes high performance nonlinear force controllers for a servopneumatic real-time fatigue test machine. A CompactRIO controller was used, being fully programmed using LabVIEW language. Fuzzy logic control algorithms were evaluated to tune the integral and derivative components in the development of hybrid controllers, namely a FLC P and a hybrid FLC PID real-time-based cont...

Rotor flux and torque of an induction motor (IM) are decoupled to obtain performance of DC motor. The decoupling strategy has been developed in terms of stator current components where the core loss is neglected. Many different controllers including fuzzy logic controller (FLC) with neglecting core loss have been designed to control the speed of induction motor. The outcome of investigation abo...

<span>In DC microgrids, the utilization of renewable energy results in disruptions. This paper proposes coordinated control multiple batteries using a fuzzy logic controller (FLC). The goal is to regulate voltage and power on microgrid. Method used with modified coupling configuration. proposed new topology uses 2 photovoltaic (PV) arrays. Part PV array output will be stored battery, part...

A novel technique for synthesizing dynamic state feedback controllers that achieve input to state stability (ISS) property for nonlinear discrete-time systems is presented. The ISS controller design for the original system is solved via an auxiliary l∞-bounded (LIB) robustness synthesis problem for an auxiliary system. A complete solution for the LIB synthesis problem has been presented recentl...

This paper presents a Fuzzy Logic Controller (FLC) designed through Genetic Algorithms (GA). The genetic representation follows an “object approach”, with attributes and methods for each controller element: membership functions, conclusions tables and fitness values. Special mutation and crossover operators are also discussed. Results show that the proposed method is able to find good controlle...

This paper addresses the problem of trajectory tracking control in an autonomous, wheeled, mobile robot of unicycle type using Fuzzy Logic. The Fuzzy Logic Control (FLC) is based on a backstepping approach to ensure asymptotic stabilization of the robot’s position and orientation around the desired trajectory, taking into account the kinematics and dynamics of the vehicle. We use the Mamdani in...

Because of the unpredictable activity solar energy sources, photovoltaic (PV) maximum power point tracking (MPPT) is essential to guarantee continuous operation electrical generation at optimal levels. Several works have extensively examined from PV systems under normal and shading conditions. The fuzzy logic control (FLC) method one effective MPPT techniques, but it needs be adapted work in pa...

This paper reviews the development of fuzzy systems and the problem of time delay control in nonlinear systems. Based on this review, a fuzzy Lyapunov method defined in fuzzy blending quadratic Lyapunov functions is proposed from which to derive stability conditions. In the controller procedure, a parallel distributed compensation (PDC) scheme is utilized to construct a global fuzzy logic contr...