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This paper presents five-level series active power filter based on modified instantaneous reactive power theory control strategies. The standard configuration uses voltage source inverter with hysteresis controller, this configuration presents several drawbacks such us uneven switching frequency. Multilevel inverters are currently being investigated and used in various industrial applications. Five-level...
Implementation of a Fuzzy Logic speed controller for a Permanent Magnet DC (PMDC) motor using a low-cost Arduino interfaced with a standard xPC Target MATLAB environment is demonstrated. The Arduino solution is acceptable at kHz sampling frequencies. The study of speed control of PMDC motor based on Arduino and L298N H-Bridge using an artificial intelligence control method, such as Fuzzy PID with...
In this paper, an energy management strategy in a Hybrid Electric Vehicle (HEV) is studied. This HEV is powered by a Fuel Cell (FC), and a Li-Ion battery. The FC supplies average power during the steady state and the battery furnishes the peaks of power during transient responses due to its high power density compared to the FC. This energy management, based on a fuzzy logic approach, aims to increase...
The performance of the photovoltaic panel is significantly affected by various environmental factors, due to these changes there is little chance to operate the PV module at its maximum power point when using Perturb and Observe (P&O) algorithm. Hence, an intelligent controller is designed employing ANFIS which draws much energy and fast response. The current work proposes an artificial-intelligence...
The purpose of this paper is to design a fuzzy supervisory PID controller using an improved genetic algorithm. The fuzzy controllers are widely used in the recent years due to their results in both tracking and perturbation rejection, however the most difficult step in designing a fuzzy controller is the fuzzyficaion stage where we have to determine the rules and the shape of membership functions...
This work describes how fuzzy logic control FLC can be applied to sonar sensors of a Pioneer 3-DX mobile robot. The fuzzy logic approach has proved its effectiveness in the navigation of mobile robots in known and unknown environments in the different industrial areas. It provides a mechanism for combining sensor data from all sonar sensors and a position sensor which present different information...
This paper provides comparative control study of PMSG wind turbine connected to DC load through a DC/DC converter in order to improve the impact on the power system and optimize the power production. The maximum power point tracking (MPPT) algorithms analyzed and compared are: A conventional proportional-integral controller (PI) and two based fuzzy logic controllers (Fuzzy-PI and Adaptive FLC-PI)...
In this note, an adaptive fuzzy logic control (AFLC) strategy based on active sliding mode theory is considered to control a class of chaotic fractional-order systems. The main contribution in this work is the use of a saturation function to eliminate the chattering action in the control and surface signals. The nonlinear fractional order chaotic systems are identified using fuzzy logic sets. Based...
This paper presents an improved stator active and reactive power control is proposed in wind system (WS) to control doubly fed induction generator (DFIG) in Hyposynchronous mode using maximum power point tracking (MPPT) strategy. A new class of fuzzy logic called an adaptive type-2 fuzzy logic control (T2-FLC) is proposed for wind generation application to control Ird and Irq instead the proportional...
The direct torque control (DTC) suffers from high torque and flux ripples due to the use of hysteresis comparators. In this paper, an alternative method is presented for induction motor drive known by the model Predictive Torque Control (PTC). This technique includes the inverter model in control design and does not use any modulation block. The optimal selection of inverter switching states minimizes...
Presently, in industrial process plants, requirements for Continuous Emission Monitoring (CEM) have increased significantly. Most plants are investing in these systems in order to burn waste. In this work, we developed a Fuzzy Control of CEM (FCCEM). This system contains operator's stations to supervise the bag filter using Fuzzy Logic. This equipment consists of a suction ventilator, a bag filter...
This paper present multi-objective optimization for optimal multi DG location and sizes in radial networks. The objectives fitness considered are minimize active power losses and maximize voltage stability. The hybrid technique based on NSGA-II and Fuzzy logic is used to determine optimal solutions. The proposed technique is tested on diversesizes of IEEE distribution network (10bus, 33bus and 85bus)...
Renewable Energies (RE) are considered as an important alternative sources of energy for the generation of electricity such as hydrogen and photovoltaic energies. To ensure an efficient photovoltaic energy conversion several Maximum Power Point Tracking (MPPT) algorithms have been developed to incite the PV field to deliver maximum power. This paper presents a comprehensive comparative study of two...
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