This work deals with the design and implementation prototype of a real time maximum power point tracker (MPPT) for photovoltaic panel (PV), aiming to improve energy transfer efficiency. paper describes also charging process lead- acid batteries integrating MPPT algorithm making an autonomous system that can be used feed any application. The exhibits non-linear i-v characteristic its varies solar insolation temperature. To control from PV Perturbation Observation (P&O) is executed by simple...

This paper presents a efficient stand-alone battery photovoltaic (PV) lighting system which can provide functional illumination based on power light-emitting diodes (PLEDs). PLED with specific features of small size, long life and high-brightness light will be choices future sources. The PLEDs are feed using lead acid that is charged PV panel. an interface board ATMEL ATTINY861V microcontroller, single-ended primary inductance converter (SEPIC) input output voltage current measurements....

This work deals with the design and a prototype implementation of maximum power point tracker (MPPT) for thermoelectric (TE) module aiming to improve energy conversion efficiency in battery charging. system uses TE devices that directly convert heat from water gas heater electricity charge battery. The exhibits non-linear I-V characteristic its varies change surfaces temperatures. A SEPIC (single-ended primary inductance converter) DC-DC converter is applied controlled by microcontroller...

This paper presents new improvements and real result of a stand-alone photovoltaic power system for LED lighting that was developed previously. The actual system, during day, charges lead acid battery using MPPT algorithm transfer optimization, and, night, it supervises discharge controls the current in array. are hardware software. simplified only one DC/DC converter microcontroller making more efficient. board uses an ATMEL ATTINY861V microcontroller, single-ended primary inductance...

This paper presents a hybrid neuro-fuzzy network-priori knowledge model in temperature control of gas water heater system. The consists cascade connection two blocks: an approximate first principles (FPM) and unknown block. is constructed based the balance equations system priori knowledge. part global modeled with structure which identified input/output data (NFHM) model. proposed tuned using gradient descent combined least square algorithm off-line. A Smith predictive controller Due to...

This paper presents a work in progress concerning the use of neuro-fuzzy based non-linear Smith predictor for control real system with large and variant time delay load disturbances. The main objective is to output water temperature one domestic gas heater that time-delay flow, cold wanted changes. It presented detailed description terms non-linearity, constants delay. steps taken arrive at direct inverse models using technique are described. two strategies, controller an improved...

This work presents the delay compensator an approach to deal with sampling actuation effects in real-time distributed control systems. The bases its action on amount of affecting system at each iteration and can be applied systems using off-line or on-line scheduling provided that evaluated. To show effectiveness proposed we present implementation a fuzzy minimize variable effect existing controller. works very simple set rules generates output is added one by controller following modified...

This paper presents two different approaches for parameter estimation of non-linear systems with Hammerstein models. The model consists in the cascade connection blocks: a static part and linear dynamic part. For modelling function techniques were used: neuro-fuzzy polynomial approximation approaches. (NFHM) approach uses zero-order Takagi-Sugeno fuzzy to approximate is tuned using gradient decent algorithm. (PAHM) order n least squares both algorithms use estimation. methods implemented...

This paper presents a neuro-fuzzy implementation of the delay compensator to reduce variable sampling actuation effects in distributed control systems. The approach proposed addition an existing system order overcome performance degradation that results from characterizes implementations. effectiveness is evaluated using with pole-placement controller does not take into account introduced by distribution and are compared ones obtained neural networks compensator.

This paper presents two different approaches for parameter identification in hybrid models (HM). The model consists the parallel or cascade connection of blocks: an approximate first principles (FPM) and unknown block model. is constructed based balance equations system that could have some parts. parts global are modelled with grey-box techniques: neuro-fuzzy systems nonlinear auto regressive models. These types generate high interpretability degrees. (NARXHM) proposed uses a NARX model,...

This paper presents the control results of an electric water heater system using two approaches: adaptive proportional integral derivative and Smith predictive based on physical internal model structure. The was modelled with variable blocks connected in series: a first order time delay. In fact, gain, tune constant delay change linearly that flows permutation chamber. retched energy dynamic equations validated open loop data similar way made previews study about modelling controlling gas...

Real number codes can be derived from most existing GF error correcting codes. This approach provides a fresh view on the fields of and signal processing. In this article we study parallel concatenated (PCC), also known as ”Turbo Codes” (TC) real field. We derive generalization coding matrix non-iterative decoding algorithm. present some simulation results comparing stability Bose, Chaudhury Hocquenghem (BCH) with PCC.