In this paper, the authors propose a particle swarm optimization (PSO) for discrete-time inverse optimal control scheme of doubly fed induction generator (DFIG). For scheme, Lyapunov function (CLF) is proposed to obtain an law in order achieve trajectory tracking. A posteriori, it established that minimizes meaningful cost function. The CLFs depend on matrix selection objectives; determined by two mechanisms: initially, fixed parameters are trial-and-error method and then using PSO...

This paper presents a discrete-time inverse optimal control scheme using neural network for doubly fed induction generator (DFIG). The DFIG generation has voltagesource converter connected between the rotor and electrical grid, which is composed by two insulated-gate bipolar transistors (IGBT) power converters in back-to-back configuration. These are known as side (RSC) grid (GSC), respectively. RSC used to electric torque reactive of DFIG, GSC dc-link voltage IGBT connection stator...

This paper pressents an infinite‐horizon optimal controller, based on a state‐dependent R iccati equation approach to solve the tracking for nonlinear systems. The synthesized control law comes from solving H amilton‐ J acobi‐ B ellman coefficient factorized proposed controller results in state feedback plus time varying term, which minimizes quadratic performance index. In order illustrate desired reference, is applied two systems with practical applications: Van der Pol oscillator and...

On this paper, a robust velocity controller applied to three-phase squirrel-cage induction motor under variable load conditions is designed. The drives an generator representing the which freely delivers generated power utility grid. closed-loop scheme designed at <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\alpha \beta $ </tex-math></inline-formula> coordinate frame and based on linearization block...

In this work, we demonstrate the importance of implementing techniques that allow us to include demand side management as a tool for planning energy systems, in particular case, standalone power systems. Penetration indexes are also proposed and calculated establish minimum requirements supply predominantly residential system powered by renewable resources. The were optimized using meta-heuristic optimization based on genetic algorithm particle swarm optimization. Periods one, five 10 years...

The authors propose robust non-linear controllers for a wind system. proposed are based on combination of the block control linearisation and super-twisting algorithm, as second-order sliding mode technique. main loop is designed to regulate electromagnetic torque stator power factor doubly-fed induction generator which connected grid. mechanically coupled with DC motor, can emulate turbine operation. Therefore, an auxiliary motor velocity. Additionally, grid-side converter controller...

The multi-resonant response of three-steps tapered dipole nano-antennas, coupled to a resistive and fast micro-bolometer, is investigated for the efficient sensing in infrared band. proposed devices are designed operate at 10.6 μm, regime where complex refractive index metals becomes important, contrast visible counterpart, full parametric analysis performed. By using particle swarm algorithm (PSO) geometry was adjusted match impedance between nanoantenna reducing return losses by factor...

This study introduced a novel path-following controller tailored to electric vehicles equipped with steer-by-wire system, i.e., the steering angle of vehicle was defined by an electrical actuator. The control objective force proper vehicle, which permits following desired path. system presupposed that external algorithm utilized sensor data provided lateral movement references while maintaining steady longitudinal velocity for vehicle. proposed scheme based on robust sliding mode manage...

One of the most important bases for designing robust closed-loop controllers applied to induction motor with high performance is establishing its mathematical model and state observers, as well parameter identification accuracy. In this paper, a step-by-step squirrel-cage described at αβ coordinate frame where parameters are defined in detailed form; rotor flux linkages load torque estimated via an asymptotic observer; performed data acquisition board, applying dynamic steady-state tests....

Within Industry 4.0, drones appear as intelligent devices that have brought a new range of innovative applications to the industrial sector. The required knowledge and skills manage appropriate these technological are not being developed in most universities. This paper presents an unmanned aerial vehicle (UAV)-based smart educational mechatronics system makes use motion capture (MoCap) laboratory hardware-in-the-loop (HIL) teach UAV skills, within Educational Mechatronics Conceptual...

In this paper, the authors propose a block control scheme using sliding modes, for double fed induction generator connected to an infinity bus. To estimate mechanical torque, nonlinear observer is utilized; additionally, as viable alternative, eliminate requirement on estimation, integrator included. reduce effect of parameter variations, one step delayed disturbance algorithm used. The stability closed loop system analyzed by Lyapunov techniques. applicability proposed tested via simulations.

This paper proposes a control scheme on the basis of block technique using sliding modes by means neural networks identification, for doubly fed induction generator (DFIG) prototype connected to an infinity bus. The DFIG is widely used as wind generator; it allows rotor speed vary while synchronizing stator directly fixed frequency power system. has one back-to-back PWM voltage-source converter between and electrical grid. side (RSC) via DC-link grid (GSC), which in turn terminals or through...

This paper proposes a control scheme based on the block technique using sliding modes, for doubly fed induction generator (DFIG) prototype connected to an infinity bus. The DFIG is widely used as wind generator; it allows rotor speed vary while synchronizing stator directly fixed frequency power system. generation has one back-to-back PWM voltage-source converter between and electrical grid. side (RSC) via dc link grid (GSC), which in turn terminals or through step-up transformer. A RSC...

The aim of this paper is to present a new dynamical system which solves linear programming. Its design considered as sliding mode control problem, where its structure based on the Karush-Kuhn-Tucker optimality conditions, and multipliers are inputs be implemented by using fixed time stabilizing terms with vectorial structure, unit control, instead common used in other approaches. Thus, main features proposed convergence programming solution parameters number despite optimization problem...

In the present paper, a mathematical model for portfolio is proposed. This valid operations of buying and selling shares an asset in constant periods time, additionally, it has state space form which can be used to design control law using theory. The designed interpreted as trading signal reach value desired. proposed are validated by means simulations real daily prices Mexican stock exchange.

On this paper the authors propose an analysis of a scalable wind system on dq frame using doubly-fed induction generator. The model includes turbine and generator model, where contains mathematical function to approximate power coefficient, torque produced by turbine. Both models are presented in detailed form. closed-loop controller is described, controlled output variables are: electromagnetic maximize energy capture stator reactive delivered grid control factor. Finally, simulation...

In this paper, we propose a robust non-linear controller based on second order sliding mode technique named super-twisting method. The control scheme is proposed to the DC bus voltage into back inverter configuration, and power factor of feedback generated energy by circuit rotor wound induction in wind system application. performance designed validated through simulations Simulink/Matlab.

Around the world, conventional power systems are facing gradual depletion of fossil fuel resources, poor energy efficiency and environmental pollution. These problems have led to a new trend generating locally at distribution voltage level by using renewable/nonconventional sources like natural gas, biogas, wind power, solar photovoltaic cells, combined heat systems, micro-turbines Stirling engines their integration into utility network. Microgrid is essentially an active network, which...

This paper presents neuronal network identification of a double fed induction generator, based on discrete-time high order (RHONN), which is trained with an extended Kalman filter (EFK) algorithm. The performance illustrated via simulations.

Batteries are one of the most important technologies for energy storage, and an part renewable generation systems. Nowadays, there exist diverse types batteries with different characteristics it is very to be able charge discharge battery at a safe effective rate maximize life fulfill requirements each application. Different power electronics circuits can used control discharge; DC-DC Buck-Boost converter. Typically, this type converter only allows transfer in direction; otherwise topology...

The wind power systems of variable velocity using a doubly-fed induction generator dominate large-scale electrical generation within renewable energy sources. usual control goal the consists maximizing capture and streamlining conversion process. In addition, these are an intermittent source due to variation velocity. Consequently, system designed establish reliable operation represents main challenge. Therefore, emulating turbine by means electric motor is common strategy so that controller...