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Wind energy is emerged rapidly as the most important and viable sustainable power source due to the mature technology and wide availability. The integration of wind energy sources and utilization of nonlinear loads having different characteristics results in several challenges in a distribution system. One of which is power quality issue .Hence, in this work,…

This paper presents a novel direct torque control (DTC) strategy aimed to four-switch three-phase (FSTP) inverter-fed an interior permanent magnet synchronous machine (IPMSM), using a fuzzy logic toolbox in speed control loop. In fact, the introduced DTC approach is based on the emulation of the operation of the standard six-switch three-phase (SSTP) inverter. This fact…

This article presents a bridge crane nonlinear dynamic model in 2-dimensional space, and then given a novel adaptive fuzzy-sliding mode controller based on combining sliding mode control with fuzzy logic and Lyapunov function. Firstly, the article proposes an intermediate variable to link signal between two slide surfaces, related to trolley movement and payload swing. Then…

This paper deals with the control problem for nonholonomic wheeled mobile robots moving on the plane, and in particular, the use of a Fuzzy controller technique for achieving a given motion task which consists of following a rectilinear trajectory until an obstacle occurs on the path. After a background part, in which the fundamental knowledge…

The article considers the task of developing a fuzzy-logical PID-type controller for a nonlinear dynamic system. A feature of the structure is presented, which consists in simplifying its controller by decomposition. In the simplest version, three fuzzy controllers are used with one input and one output and separate rule bases. Parameters of fuzzy controllers are…

The aim of the present work is to guarantee the trajectory tracking of a nonlinear biological process and compare two control approaches. The main objective of this work is to elaborate a fuzzy model and build a fuzzy controllers for a biological process by using the fuzzy Takagi-Sugeno. Two controllers are synthesized, the parallel distributed…

This paper presents the development and design of a methodology based on fuzzy logic to control an indoor mobile robot for a complete navigation in an unknown environment. The methodology incorporates two basic behaviors, namely: reaching the goal and avoiding obstacles. The obstacle avoidance behavior is treated using wall-following scheme based on an Interval Type-2…

This work discuss two different intelligent controllers: Online Neuro Fuzzy Controller (ONFC) and Proportional-Integral-Derivative Neural Network (PID-NN). They were applied to maintain the equilibrium and to control the position of a two-wheeled robot prototype. Experiments were carried out to investigate the equilibrium control and movement of the two-wheeled robot first on flat terrain, then in…