Fuzzy Logic Based PhotovoltaicPeak Power Tracking Controller

Motivation Solar photovoltaic power is a prime alternative energy

source candidate in several countries Solar power density with direct overhead incidence is

1 Kw/m2 High initial solar installation costs Low cell conversion efficiency (from 12% on ordinary

units up to a maximum of 29% on very special ones) Prices for solar cells and power electronics are sharply

decreasing

The solar array is generally connected to an energy storage system, which can be constituted by a system of batteries, fuel cells, flywheels, or even the distribution mains

The solar panel is subjected to varying solar intensity and changes in environmental temperature which, in turn, change the maximum power operating point

In order to speed up the amortization of installation costs, it is essential to extract the maximum power available on a continuous basis

Solar Vehicle Motivated a Lot the Development of this Fuzzy-PPT !

Photovoltaic System Block Diagram

Current x voltage for sunlight intensity variation

Current x voltage for temperature variation

Cell Equations

vJvJvJ 21

cteJ 1

baVeJ 2

where

J is the current density (mA/cm2), v is the single voltage cell (V), vp is the total voltage (V) in the

array, ip is the array current (A), is the solar intensity (mW/cm2) and T is the temperature (oC).

The parameters k1 (non-dimensional), k2 (mA/cm2) (voltage coefficient V-1), (temperature coefficient oC-1) and (non-dimensional) are adjusted from the manufacturer curves with a multi-linear regression algorithm, where the parameters are calculated to minimize the quadratic error; Ncel is the number of cells in a series string connection that forms the array and Rs is the contact

resistance between cells.

025,0

005,0125,1566,11100226,3

ln TI

IV

TeKvJ

T

A

ikV

cel

pi ln

1

v v Ncel R ip j s pj

Ncel

1

Modeling the solar array

0 0.5 1 1.5 2 2.5 3 3.50

5

10

15Temperatura = 0

Corrente [A]

Tens

ão [

V]

L = 100L = 75L = 50L = 25L = 5

XY Graph

0

VpainelMATLABFunction

Volt

60

Temp

Mux

Mux

100

Lambda

Gráfico da Tensão

Gráfico da Corrente

Corrente

0 0.5 1 1.5 2 2.5 3 3.50

2

4

6

8

10

12

14Temperatura = 50

Corrente [A]

Tens

ão [

V]

L = 100L = 75L = 50L = 25L = 5

0 0.5 1 1.5 2 2.5 3 3.50

1

2

3

4

5

6

7

8

9

10Temperatura = 100

Corrente [A]

Tens

ão [

V]

L = 100L = 75L = 50L = 25L = 5

Solar Array Driven by a Boost Converter

Modeling the boost converter

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1-5

0

5

10

15

20

25Curva Vo x D para Carga variando de 1 a 100 Ohm

Duty Cycle [%/100]

Vo

[V]

Photovoltaic system static characteristicsOutput power, Efficiency Pout/Pin, Array impedance

Power due to load variation, for T=25oC and =100 mw/cm2

Strategy for Optimizing Against Solar Intensity and Temperature Variation

Fuzzy Logic Based Solar Array Controller

Tracking Rules

IF DCk is P ANDPk is PB THENDCk+1 is PBIF DCk is P AND Pk is PS THEN DCk+1 is PMIF DCk is N AND Pk is PB THEN DCk+1 is NBIF DCk is N AND Pk is PS THEN DCk+1 is NMIF DCk is P AND Pk is NB THEN DCk+1 is NBIF DCk is P AND Pk is NS THEN DCk+1 is NMIF DCk is N AND Pk is NB THEN DCk+1 is PBIF DCk is N AND Pk is NS THEN DCk+1 is PM

Other rules are also necessary, due to the fact that the characteristic curves might change with temperature and sunlight level, leading to an overall shift of the optimum point. In order to keep track of this situation, the system must have the following rules:

IF DCk is Z AND Pk is PB THEN DCk+1 is PMIF DCk is Z AND Pk is PS THEN DCk+1 is PSIF DCk is Z AND Pk is NB THEN DCk+1 is NMIF DCk is Z AND Pk is NS THEN DCk+1 is NS

Quantization Effect on the Power Search

Finally, it is necessary to provide the system with a rule that stabilizes the point of operation at a peak power point:

The following rules have been identified for avoiding the stabilizing effect in a region other than that of true peak

power:

IF DCk is Z AND Pk is ZZ THEN DCk+1 is ZZ

IF DCk is P AND Pk is ZZ THEN DCk+1 is PS

IF DCk is N AND Pk is ZZ THEN DCk+1 is NS

Membership Functions forFuzzy Search Controller

Rules with Different Degrees of Support

Rule based with different degrees of supportPk

NB NS ZZ PS PBN PB PM NS NM NB

DCk Z NM NS ZZ PS PMP NB NM PS PM PB

where: degree of support = 1.00degree of support = 0.50degree of support = 0.25

Solar intensity variation (l) and the corresponding dc-link current change with the fuzzy duty-cycle search

Illumination application

5V

18V

R e a l T im e C lo c k

A /DC o n v e r te r

S e ria l In te r fa c e

A lgorithm C ontro l

M icrocon troller R ISCPIC 16C 74

Flyback C onverte r

Seria l C om m unication

So lar P anel

B a tt e ry

Vo ltage

C u rren t

T 1T 1

Fluo

resc

ent

Lam

pD C /A CInverter

Turn-onInverter

Test for various sunlight intensities

0.00

1.00

2.00

3.00

4.00

5.00

6.00

0 10 20 30 40 50 60 70

P WM (%)

Po

wer

(W

)

Point of Maximum Power

MPPT Input Power

MPPT Output Power

0.00

2.00

4.00

6.00

8.00

10.00

12.00

0 5 10 15 20 25 30 35 40

PWM (%)

Po

wer

(W

)

MPPT Output Power

0.00

2.00

4.00

6.00

8.00

10.00

12.00

14.00

16.00

0 5 10 15 20 25 30 35 40 45 50

PWM (%)

Po

wer

(W)

MPPT Output Power

0.00

2.00

4.00

6.00

8.00

10.00

12.00

14.00

16.00

18.00

20.00

0 5 10 15 20 25 30 35 40 45 50

PWM ( %)

Po

wer

(W

)

M PPT output power

0,00

2,00

4,00

6,00

8,00

10,00

12,00

14,00

16,00

18,00

20,00

9 10 11 12 13 14 15 16 17 18

Hour

Pow

erPower Estimation

Measured Power

Collected power during one day

Fuzzy Based Photovoltaic System : Conclusion

A complete fuzzy logic solar array peak power tracking controller has been simulated, designed and implemented in the laboratory

RISC microcontroller with a fuzzy algorithm that searches for the optimum duty-cycle that transfers the peak power from the solar array to a battery charger

The advantages of the fuzzy controller are that the control algorithms give fast convergence and robust performance against parameter variation, and can accept noisy and inaccurate signals

The system was found to reliably stabilize the maximum power transfer in all operating conditions and it is ready to be fitted in a larger installation.

A FEW MORE POWER ELECTRONICS APPLICATIONS….

Fuzzy Logic Based DC-Drive Control System

Main Features: Delta-alpha () compensation for converter linearisation

Makes converter characteristics independent of conduction region (discontinuous / continuous);

Enables optimum current control design

Fuzzy Current controller

For better response than that obtainable with PI control; 

Fuzzy Speed controller

Less sensitive to load torque disturbances and inertia variations;

Fuzzy Logic Based DC-Drive Control System

Phase Controlled DiscontinuousOperation Compensation

Fuzzy Logic Based Slip Gain Tuning

Main Features:

Continuously identifies the rotor time constant, to track variations due to temperature or saturation effects;

Combines the best characteristics of the Reactive Power model and D-axis Voltage model;

Capable of performing well at any operating point in the torque-speed plane;

Fast convergence;

True value for r

General block diagram for IVC system with slip gain tuning

Fuzzy Logic based slip gain tuning

List of Related Publications

SHORT COURSE AVAILABLE ON THE INTERNET

Webcast lecture for Online Symposium for Electronics Engineers

OSEE at http://www.osee.net: “Introduction to Fuzzy Control”

Available on-line at http://www.osee.net/pro_dsp_control.html

BOOK

[1] “Fuzzy Modeling and Control” [Published in Portuguese: Controle e Modelagem Fuzzy]

Authors: Ian S. Shaw and Marcelo G. Simoes

Publisher: Edgard Bluchert, 1999

 JOURNAL AND TRANSACTIONS PUBLICATIONS

[1] M. Godoy Simoes, C. M. Furukawa, A. T. Mafra, J. C. Adamowski “A novel competitive learning neural network based acoustic transmission system for oil-well monitoring” IEEE Transactions on Industry Applications, March/April 2000, vol. 36, pp. 484-491

[2] M. Milanova, P.E.M. Almeida, J. Okamoto Jr., M. Godoy Simoes “Applications of cellular neural networks for shape from shading problem” Lecture Notes in Artificial Intelligence, Springer-Verlag, September, 1999, pp. 52-63.

[3] M. Godoy Simoes, N. N. Franceschetti, “Fuzzy optimisation based control of a solar array system” IEE Proceedings - Electric Power Applications, September 1999, Vol. 146, Issue 5, pp. 552-558

[4] M. Godoy Simões and M. Friedhofer, “An implementation methodology of a fuzzy based decision support algorithm,” International Journal of Knowledge-Based Intelligent Engineering Systems, October 1997, vol.1 no. 4, pp. 267-275.

[5] M. Godoy Simões, “Intelligent control based vertical-axis wind turbine system” Revista Brasileira de Ciências Mecânicas, vol.XIX no. 4, pp. 518-530, December/1997

[6] M. Godoy Simões, Bimal K. Bose and Ronald J. Spiegel, “Design and performance evaluation of a fuzzy-logic-based variable-speed wind generation system” IEEE Transactions on Industry Applications, July/August 1997, vol. 33, pp. 956-965.

[7] G. C. D. Souza, B. K. Bose and M. Godoy Simões, “A simulation-implementation methodology of a fuzzy logic based control system” Revista da Sociedade Brasileira de Eletrônica de Potência, vol.2 no. 1, June 1997.

[8] M. Godoy Simões, Bimal K. Bose and Ronald J. Spiegel, “Fuzzy logic based intelligente control of a variable speed cage machine wind generation system,” IEEE Transactions on Power Electronics, vol. 12, pp. 87-95, Jan. 1997

[9] M. Godoy Simões and Bimal K. Bose, “Fuzzy neural network based estimation of power electronics waveforms” Revista da Sociedade Brasileira de Eletrônica de Potência, vol.1 no. 1, June 1996.

10] M. Godoy Simões and Bimal K. Bose, “Fuzzy neural network based estimation of power electronics waveforms” Revista da Soc. Brasi. de Eletr. e Potência, vol.1 no. 1, June 1996.

[11] M.H. Kim, M. Godoy Simões and B. K. Bose,“Neural network based estimation of power electronic waveforms,” IEEE Transactions on Power Electronics, March/1996, vol. 11 No.2 , pp. 383-389

[12] M.G. Simões and B.K.Bose, “Neural network based estimation of feedback signals for a vector controlled induction motor drive,” IEEE Transactions on Industry Applications, May/June 1995, vol. 31, pp. 620-629.

 

INTERNATIONAL CONFERENCE PAPERS – In English

[1] P.E.M. Almeida and M. G. Simões “Fundamentals Of A Fast Convergence Parametric CMAC Network”, accepted for presentation at IJCNN’2001 (INNS-IEEE International Joint Conference on Neural Networks), Washington, DC, July 2001.

[2] M. Godoy Simoes, J. L. M. Tiquilloca, H. M. Morishita, “Neural network based prediction of mooring forces in floating production storage and offloading systems” IEEE-IAS Annu. Meeting Conf. Rec., vol. 2, pp. 940-946, Rome, Italy, October 2000.

[3] M. Godoy Simoes, P. Vieira Jr., “Model development and design of a wheel-motor drive system” Proceedings of EPE - PEMC, vol. 5, pp. 74-79, Kosice, Slovak Republic, September 5-7, 2000

[4] M. Godoy Simoes, Petronio Vieira Jr, “A High Torque Low-Speed Multi-Phase Brushless Machine - A Perspective Application for Electric Vehicles” ” IEEE-IECON International Conference on Industrial Electronics, Control and Instrumentation, Nagoya, Japan, October 2000.

[5] S. Szafir and M. Godoy Simoes, “Real time electrical motor control using DSP based system” IEEE Industrial Conference INDUSCON 2000, vol. 1, pp. 59-64, Porto Alegre, Brazil, November 06-09, 2000

[6] M. Godoy Simões, N. N. Franceschetti, “A RISC microcontroller based photovoltaic system for illumination applications” IEEE-APEC Applied Power Electronics Conference, vol. 3, pp. 479-485, New Orleans, Louisiana, February 6-10, 2000

[7] J. R. Pelaez, M. Godoy Simões “A computational model of synaptic metaplasticity” Proceedings of the International Joint Conference of Neural Networks. 1999, Paper number: 103 (CD-ROM Edition), Session 1.1, Washington D.C.

[8] J. R. Pelaez, M. Godoy Simões “Pattern completion through thalamo-cortical interaction. Proceedings of the International Joint Conference of Neural Networks. 1999, Paper number: 102. (CD-ROM Edition), Session 1.3, Washington D.C.

[9] J.R. Pelaez, M. G. Simoes, “A neural network based intruder detection system” 4o Brazilian Symposium on Intelligent Automation, September, 1999, pp. 156-158, Sao Paulo, Brazil.

[10] M. Milanova, P. E. M. Almeida, M. G. Simoes, “Applications of cellular neural networks to image understanding”, 4o Brazilian Symposium on Intelligent Automation, September, 1999, pp. 19-29, Sao Paulo, Brazil.

[11] M. Godoy Simoes, N. N. Franceschetti, M. Friedhofer, “A fuzzy logic based photovoltaic peak power tracking controller” IEEE-ISIE International Symposium on Industrial Electronics, vol. 1, pp. 300-305, Pretoria, South Africa, July/1998

[12] C. Guestrin, F. G. Cozman, M. Godoy Simoes, “Industrial applications of image mosaicing and stabilization” IEEE-KES Knowledge-Based Intelligent Electronic Systems, vol. 2, pp. 174-183, Adelaide, Australia, April/1998

[13] M. Godoy Simoes, N.N. Franceschetti, J.C. Adamowsky, “Drive system control and energy management of a solar powered electric vehicle” IEEE-APEC Applied Power Electronics Conference, Vol. 1, pp. 49-55, Anaheim CA, February 15-19, 1998

[14] M. Friedhofer, M. Godoy Simoes, “Decision criteria with different degrees of importance: a contrast diffusion/intensification approach” 3o Simpósio Brasileiro de Automação Inteligente (SBAI’97) pp. 319-324, Vitoria (Brazil), Sept. 1997

[15] M. Godoy Simoes, N. N. Franceschetti, J. C. Adamowski, “A photovoltaic based electric vehicle drive system”, 30th Int. Symp. on Automotive Technology and Automation - ISATA, pp. 307-314, Florence, Italy, June 1997.

[16] M. Godoy Simoes, Bimal K. Bose and Ron Spiegel, “Design and Performance Evaluation of a Fuzzy Logic Based Variable Speed Wind Generation System,” IEEE-IAS Annu. Meeting Conf. Rec., pp. 349-356, San Diego, California, October 1996.

[17] M. Godoy Simoes, Bimal K. Bose and Ron Spiegel, “Fuzzy Logic Based Variable Speed Wind Generation System,” XI Congresso Brasileiro de Automática, pp. 323-328, vol. 1, Sao Paulo (Brazil), Sept. 1996

[18] M. Godoy Simoes and Bimal K. Bose, “Application of fuzzy neural networks in the estimation of distorted waveforms” IEEE International Symposium on Industrial Electronics, pp. 415-420, Warsaw Poland, June/1996.

[19] M. Godoy Simoes and Bimal K. Bose, “Fuzzy neural network based estimation of power electronic waveforms,” III Congresso Brasileiro de Eletrônica de Potência (COBEP’95), pp. 211-216, Sao Paulo (Brazil), Dec. 1995.

[20] G. C. D. Sousa, B. K. Bose and M. Godoy Simoes, “A Simulation-implementation methodology of a fuzzy logic based control system,” III Congresso Brasileiro de Eletrônica de Potência (COBEP’95), pp. 223-228, Sao Paulo (Brazil), Dec. 1995.

[21] M.H. Kim, M. Godoy Simoes and B. K. Bose, “Neural network based estimation of power electronic waves,” IEEE/IECON Conf. Rec., pp. 353-358, Orlando (USA), November 1995

[22] B.K. Bose, M. Godoy Simoes, D.R. Crecelius, K. Rajashekara, R. Martin, “Speed sensorless hybrid vector controlled induction motor drive,” IEEE/IAS Annu. Meeting Conf. Rec., pp.137-143, Orlando (USA), October 1995.

[23] M. Godoy Simoes, B.K. Bose, and Ron Spiegel, “Fuzzy logic based intelligent control of a variable speed cage machine wind generation system,” IEEE Power Electronics Specialists Conference, pp. 389-395, Atlanta (USA), June 1995.

[24] M. Godoy Simoes and B.K. Bose; “Neural network based estimation of feedback signals for a vector controlled induction motor drive”, Industry Applications Society Annual Meeting (IEEE-IAS), vol. I, pp. 471-479, Denver (USA), Oct. 1994.

[25] M. Godoy Simoes and B.K. Bose; “Application of fuzzy logic in the estimation of power eletronic waveforms” Industry Applications Society Annual Meeting (IEEE-IAS), vol. II, pp. 853-861, Toronto Canada, Oct. 1993.

BOOK CHAPTERS

[1] “Speed Sensorless Hybrid Vector Controlled Induction Motor Drive”

Book: Sensorless Control of AC Motor Drives, pages 119 to 125

Edited by K. Rajashekara et al…

Publisher: IEEE Press, 1996 ISBN 0-7803-1046-2

[2] “Neural Network Based Estimation of Feedback Signals for a Vector Controlled

Induction Motor Drive”

Book: Sensorless Control of AC Motor Drives, pages 248 to 257

Edited by K. Rajashekara et al…

Publisher: IEEE Press, 1996 ISBN 0-7803-1046-2

SOUTH AND CENTRAL AMERICAN CONFERENCES – In Portuguese and Spanish

[1] J. L. M. Tiquilloca, Hélio M. Morishita, Marcelo G. Simões, “Simulación Dinamica de Sistemas de Producción Flotante de Petróleo atraves de Redes Neuronales Artificiales”, [Dynamical simulation of oil well floating production systems with artificial neural networks], IV Jornadas Panamericanas de Automatización and V Jornadas de Sistemas de Instrumetación, Caracas, Venezuela, 8-12 de Mayo de 2000.

[2] S. Szafir, M. Godoy Simoes, “Proposta de sistema simulador da dinâmica de veículos elétricos baseado em processador digital de sinais”, [Proposal of a digital signal processing based simulator system for electric vehicle dynamics], 4o Simp. Bras. de Autom. Intel. [4o Brazilian Symp. on Int. Automation], September, 1999, pp. 597-602, Sao Paulo, Brazil.

[3] J. L. M. Tiquilloca, H. M. Morishita, M. G. Simoes, “Análise Dinâmica de Sistemas de produção Flutuante de Petróleo através de Redes Neurais Artificiais” [Dynamical analysis of floating production oil systems with artificial neural networks] 4o Simpósio Brasileiro de Automação Inteligente [4o Brazilian Symposium on Intelligent Automation], September, 1999, pp. 144-149, Sao Paulo, Brazil

[4] P. E. M. Almeida, M. G. Simoes, “Projeto de um Sistema Robótico Inteligente para Instalação de Equipamentos em Poços petrolíferos em Águas Profundas”, [Design of an intelligent robotic system for installation of equipments in deep sea oil wells] 4o Simpósio Brasileiro de Automação Inteligente [4o Brazilian Symposium on Intelligent Automation], September, 1999. pp. 165-170, Sao Paulo, Brazil.

[5] N.N. Franceschetti, L.O.M dos Reis, M. Godoy Simoes, “Modelagem e simulação da transferência de potência de um sistema fotovoltaico” [Modeling and simulation of photovoltaic system power transference] 4o Congresso Brasileiro de Eletrônica de Potência [4o Brazilian Power Electronics Conference] (COBEP’98) pp. 275-280, Belo Horizonte, Brazil, December 1-5, 1997

[6] J. R. Peláez e M. Godoy Simoes, “Um novo algoritmo de busca heurística baseado no processamento do córtex cerebral” [A new heuristic search algorithm based on the cerebral cortex processing] 3o Simpósio Brasileiro de Automação Inteligente [3o Brazilian Symposium on Intelligent Automation] (SBAI’97) pp. 377-381, Vitória, Brazil, September 3-5, 1997

[7] M. Godoy Simoes, L.E.B.da Silva , F.G. Cozman, V.F. Silva, “Proposta de controlador adaptativo para acionamento de um VAT utilizando a técnica de modelo de referência” [Proposal of adaptive controller for AGV drive system with a reference model technique], II Seminário Internacional de Motores Elétricos e Acionamentos Reguláveis, [II International Seminar in Electric Motors and Regulated Drives] (SIMEAR’97) vol.3, p. 227-241, May, 1991

[8] M. Godoy Simões and N.N. Franceschetti, “Medição de corrente contínua com isolação aplicada à malha de torque de um servomotor cc” [Measurement of continuous current with isolation applied to the torque loop of a cc servomotor], [II International Seminar in Electric Motors and Regulated Drives] (SIMEAR’97), vol. 3 p. 115-127, May, 1991

[9] M. Godoy Simões, J.C. Adamowski and F.G. Cozman, “Estratégia de acionamento de motores em veículos autônomos de transporte” [Motor drive system strategy for autonomous guided vehicles], 4o Congresso Nacional de Automação Industrial, [4o National Industrial Automation Congress](CONAI), pp. 214-219, July 1990

[10] M. Godoy Simões, M. Martucci Jr., “Análise do desempenho de conversores chaveados visando a automação de projeto” [Performance analysis of switching converters aiming the automated design], 4o. Congresso Nacional de Automação Industrial, [4o National Industrial Automation Congress] (CONAI), pp. 316-326, July 1990

[11] J.C. Adamowski, M. Godoy Simões and F.G. Cozman; “Desenvolvimento de um robô móvel” [Mobile robot development], 4o. CLACA - Cong. Latino Americano de Control Automático, Nov. 1990, Puebla-México, vol. 1 pp. 213-217, also published in 8o. CBA - Congresso Brasileiro de Automática, vol. 1 pp. 513-517, Sept. 1990, and in 4o. CONAI - Congresso Nacional de Automação Industrial, pp. 209-213, July 1990

[12] F.G. Cozman, M.R.P. Barreto, P.E. Miyagi, J.C. Adamowski, M. Godoy Simões and L.A. Moscato; “O projeto de veículos autônomos de transporte” [The project of autonomous vehicles for transportation], Simp. de Autom. Int. (SAI), pp. 119-123, Curitiba, July 1990

[13] M. Godoy Simões, J.C. Adamowski and F.G. Cozman; “Acionamento e controle de motores para veículos autônomos de transporte” [Drive system motor control for autonomous guided vehicles] II Seminário de Eletrônica de Potência (SEP), pp. 190-197, UFSC, Florianópolis, December 1989

[14] M. Godoy Simões and P.E. Miyagi; “Medianização aplicada em conversores chaveados” [Aplicattion of state space averaging in swicthing converters], 1o. Encontro Regional de Automação e Instrumentação (ERAI), pp. TMS01-TMS07, August 1989

[15] M. Godoy Simões and M. Martucci Jr.; “Automação da análise e modelamento de conversores chaveados” [Automation of analysis and modeling of switching power converters], 3o. Congresso Nacional de Automação Industrial (CONAI), pp. 154-167, September 1988

[16] M. Godoy Simões and M. Martucci Jr.; “Topologias de conversores chaveados” [Switching power converters topologies], 4o. Congresso de Iniciação Científica e Tecnológica em Engenharia (CICTE), São Carlos, December 1985

[17] M. Godoy Simões and M. Martucci Jr., “Acionamento de motores de passo” [Stepping motors drives], 4o. Congresso de Iniciação Científica e Tecnológica em Engenharia (CICTE), São Carlos, December 1985

[18] M. Godoy Simões & M. Martucci Jr., “Fontes chaveadas para alimentação de sistemas digitais” [Switching power supplies for digital systems], 3o. Congresso de Iniciação Científica e Tecnológica em Engenharia (CICTE), São Carlos, December 1984

TECHNICAL MAGAZINES PUBLICATIONS (PORTUGUESE DIVULGATION)

[1] M. Godoy Simoes, Petronio Vieira Jr.; Acionamento de Veículos Elétricos [Electric vehicles drives] , Revista de Automação Industrial, no. 3, pp. 16-21, July/August, 1998.

[2] M. Godoy Simoes, Ian S. Shaw; As Vantagens da Aplicação da Lógica Fuzzy em Controle de Processos [The advantages of applying fuzzy logic in process control], Revista Eletricidade Moderna, pp. 108-115, February/1998

[3] M. Godoy Simoes, N.N. Franceschetti, J.C. Adamowsky; Veículo Solar [Solar Vehicle], Revista Saber Eletrônica no. 300, pp. 1-7, January/1998

[4] M. Godoy Simoes, R. C. Giacomini; Software para Robótica” [Software for Robotics], Revista Controle e Instrumentação no. 191, 1987

[5] M. Godoy Simoes; “Configurações de Fontes Chaveadas” [Switching Power Supplies Configurations], Revista Nova Eletrônica no. 114, 1986

[6] M. Godoy Simoes; “Teoria de Fontes Chaveadas” [Switching Power Supplies Theory], Revista Nova Eletrônica, no. 101, 1985

 List of Articles – Paulo E. M. Almeida

 

[1] Almeida, Paulo E. M. et alli. “Ambiente Integrado para Análise e Desenvolvimento de Controladores Difusos”, I Simpósio Brasileiro de Automação Inteligente, pp. 291-300, 1993 (In Portuguese).

[2] Almeida, Paulo E. M. “Implementação de um Ambiente de Desenvolvimento de Controladores Difusos e suas Aplicações em Controle de Processos Reais”, Master Thesis no. 147, P.P.G.E.E. / E.E.-U.F.M.G., 1996 (In Portuguese).

[3] Almeida, Paulo E. M. et alli. “Utilização de um Ambiente de Desenvolvimento de Controladores Difusos em Controle de Processos Reais”, I Congresso Mineiro de Automação, pp.165-174, 1996 (In Portuguese).

[4] Almeida, Paulo E. M. et alli. “A Novel Real Time Integrated Environment for the Design of Practical Fuzzy Controllers”. IEEE Second International Conference on Knowledge-Based Intelligent Electronic Systems, pp. 155-164, Adelaide, AUSTRÁLIA, 1998.

[5] Meireles, Magali R. G., Almeida, Paulo E. M. et alli. “Utilização de Lógica Difusa para o Controle de um Processo de Geração de Vapor”, II Congresso Mineiro de Automação, pp. 267-278, Belo Horizonte, MG, 1998 (In Portuguese).

[6] Meireles, Magali R. G., Almeida, Paulo E. M. et alli. “Identificação e Controle por Lógica Difusa da Malha de Combustível de um Processo de Geração de Vapor”, XII Congresso Brasileiro de Automática, Uberlândia, MG, 1998 (In Portuguese).

 

[7] Almeida, P. E. M. & PEREIRA, P. T. “Mapeamento de Sinais RF de Telefonia Celular através de Redes Neurais de Base Radial”, IV Simpósio Brasileiro de Automação Inteligente, pp. 407-412, São Paulo, Setembro, 1999 (In Portuguese).

[8] Milanova, M., Almeida, P. E. M. & SIMÕES, M. G. “Applications of Cellular Neural Networks to Image Understanding”, artigo apresentado em palestra convidada no IV Simpósio Brasileiro de Automação Inteligente, pp. 19-29, São Paulo, Setembro, 1999 (In Portuguese).

[9] Milanova, M., Almeida, P. E. M. et alli. “Applications of Cellular Neural Networks for Shape from Shading Problem”. In: PERNER, P. e PETROU, M. (Eds.) International Workshop on Machine Learning and Data Mining in Pattern Recognition, Lecture Notes in Artificial Intelligence, Springer-Verlag, pp. 52-63, Leipzig, Germany, September, 1999.

[10] Almeida, P. E. M. & Simões, M. G. “Fundamentals of a Fast Convergence Parametric CMAC Network”, To be presented at IJCNN’01, Washington, July, 2001.

 List of Articles – Gilberto C. Drumond Sousa

 

[1] G. C. D. Sousa, B. K. Bose, J. G. Cleland, "Fuzzy logic based on-line efficiency optimization control of an indirect vector controlled induction motor drive", IEEE Transactions on Industrial Electronics, Vol. 42 No. 2, pp. 192-198, abril de 1995.

[2] G. C. D. Sousa, A. P. S. Santos, and A. B. Guimarães. "Vector-Controlled Drive System with Bi-directional Power flow and Unity Power Factor", Anais do Congresso Brasileiro de Eletrônica de Potência (COBEP’ 95), pp. 95-100, São Paulo, SP, dezembro de 1995.

[3] G. C. D. Sousa, B. K. Bose, and M. G. Simões, "A simulation-implementation methodology of a fuzzy logic based control system", Anais do Congresso Brasileiro de Eletrônica de Potência (COBEP’ 95), pp. 223-228, São Paulo, SP, dezembro de 1995.

[4] G. C. D. Sousa, "Fuzzy Logic Applications in Power Electronics and Drives-An Overview", Proc. of the 1995 Intern. Conf. on Ind. Electronics, Control, Instrumentation and Automation (IECON' 95), pp. 57-62, Orlando, FL, 1995.

[5] G. C. D. Sousa, "Fuzzy Logic in Power Electronics and Drives", Fuzzy Logica & de Elektrische Energietechniek, Leuwarden, Holanda, April, 1996.

[6] G. C. D. Sousa, B. K. Bose, M. G. Simões, "A Simulation-Implementation Methodology of a Fuzzy Logic Based Control System", Eletrônica de Potência - SOBRAEP, Vol.2, No. 1, junho de 1997, pp. 61-68.

[7] G. C. D. Sousa, D. R. Errera, "A High Performance Dynamometer for Drive Systems Testing", 23rd Int. Conf. on Industrial Electronics, Control, and Instrumentation, (IEEE-IECON'97) Conference Records, pp. 500-504, New Orleans, Nov., 1997.

[8] A. L. Rabello, M. A. Có, G. C. D. Sousa, J. L. F. Vieira, "A Fully Protected Push-Pull Current Fed DC-DC Converter ", 23rd Int. Conf. on Industrial Electronics, Control, and Instrumentation, (IEEE-IECON'97) Conference Records, pp. 587-592, New Orleans, Nov., 1997.

[9] G. C. D. Sousa, F. A. Ferreira, "Controle Vetorial Direto Aplicado a um Conversor PWM Utilizando DSP: Análise, Implementação e Resultados", 4o Congresso Brasileiro de Eletrônica de Potência (COBEP' 97), pp. 243-246, Belo Horizonte, Dez. 1997.

[10] G. C. D. Sousa, D. R. Errera, "A High Performance Test Bench for Drive Systems Development", 4o Congresso Brasileiro de Eletrônica de Potência (COBEP' 97), pp. 243-246, Belo Horizonte, Dez. 1997.

[11] D. S. L. Simonetti, M. C. Azevedo, G. C. D. Sousa, J. L. F. Vieira "A Single Switch Three-Phase Boost Rectifier with Constant Input Harmonic Content", 24rd Int. Conf. on Industrial Electronics, Control, and Instrumentation, (IEEE-IECON'98) Conference Records, pp. 691-696, Aachen, Alemanha, Set., 1998.

[12] C. R. Cavati and G. C. D. Sousa, "Load Demand Level Estimation in Power Distribution Systems by Fuzzy Inference", Intelligent System Application to Power Systems (ISAP'99) Conference Records, pp. 355-359, Rio de Janeiro, April, 1999.

[13] G. C. D. Sousa and A. P. S. S. Rabello, " Application of the Luenberger Observer to the Sensorless Speed Control of an Induction Motor Drive: Analysis and Implementation", 5o Congresso Brasileiro de Eletrônica de Potência (COBEP' 99), pp. 681-686, Foz do Iguaçu, Sept. 1999.

[14] G. C. D. Sousa and N. S. Marcellos, "Application Aspects of Modern PWM AC Motor Drive Systems. Part I: Coupling Currents and Bearing Problems ", 5o Congresso Brasileiro de Eletrônica de Potência (COBEP' 99), pp. 825-830, Foz do Iguaçu, Set. 1999.

[15] G. C. D. Sousa and N. S. Marcellos, Application Aspects of Modern PWM AC Motor Drive Systems Part II: Overvoltages and EMI Problems ", 5o Congresso Brasileiro de Eletrônica de Potência (COBEP' 99), pp. 831-835, Foz do Iguaçu, Set. 1999.

[16] D. S. L. Simonetti, J. L. F. Vieira, G. C. D. Sousa, "Modeling of the High-Power-Factor Discontinuous Boost Rectifiers, IEEE Transactions on Industrial Electronics, Vol. 46 No. 4, pp. 788-795, August, 1999.