HYBRID FUZZY LOGIC AND VECTOR CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVE FOR ELECTRIC VEHICLE
Résumé
This paper presents the modelling and the control of a Permanent Magnet Synchronous Motor (PMSM) speed used in anelectric vehicle. The classical vector control technique is enhanced using a specific Fuzzy Logic Controller FLC instead of a
simple PI, IP or PID control. These classical controllers need the adjustment of controller gains. The determination the gains is
not easy and needs to be adjusted if the operating conditions change. The optimization problem of regulators IP parameters
used in the vector control method, has been solved by using a Fuzzy Logic. The FLC can be dedicated entirely to vector
control of PMSM and it offers a robust and a realizable controller acting as a non linear (and optimized) PID. Than, the
combination of fuzzy control strategy with vector controlled can give a good combination. In order to validate the simulation
results, a comparison between the results obtained by classical vector control and the presented hybrid controller using FLC
obtained by Matlab/Simulink software tool is included.
Références
H. Ghodbane & al
104
[9] Mohamed Boucherma, Mohamed Yazid Kaikaa and
Abdelmalek Khezzar "Park Model of Squirrel Cage
Induction Machine Including Space Harmonics
Effects", Journal of ELECTRICAL ENGINEERING,
2006,PP. 193199.
[10] JN. Verhille, and A. Bouscayrol, and PJ. Barre, and
JC. Mercieca, and JP. Hautier, and E. Semail, "Torque
tracking strategy for antislip control in railway traction
systems with common supplies", Industry Applications
Conference, 2004. 39th IAS Annual Meeting, IEEE.
2004 pp. 2738-2745.
[11] D.W. Novotny, and T.A. Lipo, "Vector control and
dynamics of AC drives",Oxford University Press,
USA,1996.
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magnet synchronous motor in electric drive vehicles",
Transmission and Distribution Conference and Ex-
position , IEEE 2012, PP. 1-8.
[13] A. Kaddouri, "Etude d’une commande non linéaire
adaptative dune machines synchrones à aimants
permanents ", Thèse de Doctorat de lUniversité Laval,
Québec, 2000.
[14] S. Soyguder and H. Alli, "Fuzzy adaptive control for
the actuators position control and modeling of an
expert system", International Journal of Expert
Systems with Applications, Elsevier. 2010. pp. 2072-
2080.
[15] S. Ashraf, and E. Muhammad, and A. Al-Habaibeh,
and F. Rashid, "Self learning fuzzy controllers using
iterative learning tuner", International Journal of
Digital Signal Processing , Elsevier. 2010. pp. 289-
300.
[16] T. Riad, and B. Hocine, and M. Salima, "New direct
torque neurofuzzy control based SVM-three level
inverter-fed induction motor", International Journal of
Control, Automation and Systems, Springer. 2010. pp.
425-432.
[17] T. Nomura, and T. Miyoshi, "An adaptive fuzzy rule
extraction using hybrid model of the fuzzy self-
organizing map and the genetic algorithm with
numerical chromosomes", Journal of Intelligent and
Fuzzy Systems-Applications in Engineering and
Technology, IOS Press. 1998. pp. 39-52[1] WA. O’Brien, and RB. Stickel, and GJ.May,
"Advancing electricvehicle development with pure-
lead-tin battery technology", Journal of power
sources, Elsevier. 1997 pp. 151-155.
[2] S. Islam, F.I. Bakhsh, M. Khursheed, S. Ahmad, A.
Iqbal, "A novel technique for the design of controller
of a vector-controlled permanent magnet synchronous
motor drive ", India Conference (INDICON), , IEEE
2007, pp. 1-6.
[3] A. Bouscayrol, T. Communal, "Approche Globale de
la Commande Dynamique de Machines
Electrique",CETSIS’97, 1997, PP. 419–426.
[4] T. Sebastian, G. Slemon, and M. Rahman, "Modelling
of permanent magnet synchronous motors", IEEE
Transactions on Magnetics, 1986, PP. 1069-1071.
[5] Enrique L. Carrillo Arroyo," Modeling and simulation
of permanent magnet synchronous motor drive
system", University of puerto rico, Mayagüez Campus,
2006.
[6] S. Caux, and W. Hankache, and M. Fadel, and D.
Hissel, "On-line fuzzy energy management for hybrid
fuel cell systems", International Journal of Hydrogen
Energy, 1010 , Elsevier. 1010. pp. 2134-2143.
[7] A. Nouh, and M. Chami, and A. Djerdir, and El M.
Bagdouri, "Electric Vehicle Control using the
Simulator ELEVES", Vehicle Power and Propulsion
Conference, IEEE. 2007. pp. 696-701.
[8] v Faa-Jeng Lin, Chih-Hong Lin, " A Permanent-
Magnet Synchronous Motor Servo Drive Using Self-
Constructing Fuzzy Neural Network Controller", IEEE
Transactions on Energy Conversion, 2004, pp.66-72.
104
[9] Mohamed Boucherma, Mohamed Yazid Kaikaa and
Abdelmalek Khezzar "Park Model of Squirrel Cage
Induction Machine Including Space Harmonics
Effects", Journal of ELECTRICAL ENGINEERING,
2006,PP. 193199.
[10] JN. Verhille, and A. Bouscayrol, and PJ. Barre, and
JC. Mercieca, and JP. Hautier, and E. Semail, "Torque
tracking strategy for antislip control in railway traction
systems with common supplies", Industry Applications
Conference, 2004. 39th IAS Annual Meeting, IEEE.
2004 pp. 2738-2745.
[11] D.W. Novotny, and T.A. Lipo, "Vector control and
dynamics of AC drives",Oxford University Press,
USA,1996.
[12] Shuhui Li ; Haskew, T.A. ; Yang-Ki Hong
"Characteristic study of vector-controlled permanent
magnet synchronous motor in electric drive vehicles",
Transmission and Distribution Conference and Ex-
position , IEEE 2012, PP. 1-8.
[13] A. Kaddouri, "Etude d’une commande non linéaire
adaptative dune machines synchrones à aimants
permanents ", Thèse de Doctorat de lUniversité Laval,
Québec, 2000.
[14] S. Soyguder and H. Alli, "Fuzzy adaptive control for
the actuators position control and modeling of an
expert system", International Journal of Expert
Systems with Applications, Elsevier. 2010. pp. 2072-
2080.
[15] S. Ashraf, and E. Muhammad, and A. Al-Habaibeh,
and F. Rashid, "Self learning fuzzy controllers using
iterative learning tuner", International Journal of
Digital Signal Processing , Elsevier. 2010. pp. 289-
300.
[16] T. Riad, and B. Hocine, and M. Salima, "New direct
torque neurofuzzy control based SVM-three level
inverter-fed induction motor", International Journal of
Control, Automation and Systems, Springer. 2010. pp.
425-432.
[17] T. Nomura, and T. Miyoshi, "An adaptive fuzzy rule
extraction using hybrid model of the fuzzy self-
organizing map and the genetic algorithm with
numerical chromosomes", Journal of Intelligent and
Fuzzy Systems-Applications in Engineering and
Technology, IOS Press. 1998. pp. 39-52[1] WA. O’Brien, and RB. Stickel, and GJ.May,
"Advancing electricvehicle development with pure-
lead-tin battery technology", Journal of power
sources, Elsevier. 1997 pp. 151-155.
[2] S. Islam, F.I. Bakhsh, M. Khursheed, S. Ahmad, A.
Iqbal, "A novel technique for the design of controller
of a vector-controlled permanent magnet synchronous
motor drive ", India Conference (INDICON), , IEEE
2007, pp. 1-6.
[3] A. Bouscayrol, T. Communal, "Approche Globale de
la Commande Dynamique de Machines
Electrique",CETSIS’97, 1997, PP. 419–426.
[4] T. Sebastian, G. Slemon, and M. Rahman, "Modelling
of permanent magnet synchronous motors", IEEE
Transactions on Magnetics, 1986, PP. 1069-1071.
[5] Enrique L. Carrillo Arroyo," Modeling and simulation
of permanent magnet synchronous motor drive
system", University of puerto rico, Mayagüez Campus,
2006.
[6] S. Caux, and W. Hankache, and M. Fadel, and D.
Hissel, "On-line fuzzy energy management for hybrid
fuel cell systems", International Journal of Hydrogen
Energy, 1010 , Elsevier. 1010. pp. 2134-2143.
[7] A. Nouh, and M. Chami, and A. Djerdir, and El M.
Bagdouri, "Electric Vehicle Control using the
Simulator ELEVES", Vehicle Power and Propulsion
Conference, IEEE. 2007. pp. 696-701.
[8] v Faa-Jeng Lin, Chih-Hong Lin, " A Permanent-
Magnet Synchronous Motor Servo Drive Using Self-
Constructing Fuzzy Neural Network Controller", IEEE
Transactions on Energy Conversion, 2004, pp.66-72.
Comment citer
GHODBANE, H. et al.
HYBRID FUZZY LOGIC AND VECTOR CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVE FOR ELECTRIC VEHICLE.
Courrier du Savoir, [S.l.], v. 15, mai 2014.
ISSN 1112-3338.
Disponible à l'adresse : >https://revues.univ-biskra.dz/index.php/cds/article/view/403>. Date de consultation : 15 nov. 2024
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