Method for designing PI-type fuzzy controllers for induction motor drives

Access Full Text

Method for designing PI-type fuzzy controllers for induction motor drives

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IEE Proceedings - Control Theory and Applications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

IEE
Published

The paper illustrates a new systematic method for designing PI-type fuzzy controllers for direct field-oriented controlled induction motor drives. First, linear and decoupled models expressing the dynamics of speed, rotor flux, direct and inquadrature stator currents are derived using a nonlinear static compensator and choosing convenient input variables. Then, to guide the dynamics of the above quantities, four conventional PI controllers are designed independently, choosing their bandwidths conveniently. Finally, the input and output scale factors of PI-type fuzzy controllers are derived from the conventional PI controller parameters. The whole drive controller also includes a rotor flux observer and limiters to satisfy constraints on stator currents and voltages. Experimental results are shown to validate the proposed method.

Inspec keywords: control system synthesis; observers; angular velocity control; machine vector control; stators; fuzzy control; two-term control; induction motor drives; rotors

Other keywords: observer; PI controller; rotor flux; direct field-oriented control; stator currents; dynamics; fuzzy control; induction motor drives; speed control; stator voltage

Subjects: Velocity, acceleration and rotation control; Drives; Control system analysis and synthesis methods; Simulation, modelling and identification; Control of electric power systems; Fuzzy control; Asynchronous machines

References

    1. 1)
      • ALONGE, F., RAIMONDI, F.M.: `Model reference adaptive control of motion control systems with induction motor', IEEE International Symposium on Industrial electronics, ISIE '95, 1995, Athens, Greece, p. 803–808.
    2. 2)
      • ALONGE, F., D'IPPOLITO, F., RAIMONDI, F.M.: `Parameter identification of an induction motor: least Squares vs. genetic algorithms', IFAC Workshop on Motion control, 1998, Grenoble, France, p. 373–378.
    3. 3)
      • A. LEVA . PID autotuning algorithm based on relay feedback. IEE Proc. D, Control Theory Appl. , 5 , 328 - 338
    4. 4)
      • ALONGE, F., D'IPPOLITO, F., RAIMONDI, T.: `A fuzzy sliding mode controller for motion control system with DC motors', IASTED International Conference on Systems and control '94, 1994, Lugano, Switzerland, p. 65–71.
    5. 5)
      • P. VAS , A.F. STRONACH , M. NEUROTH . Full fuzzy control of a DSP-based high performance induction motor drive. IEE Proc., Control, Theory and Appl. , 5 , 361 - 368
    6. 6)
      • Texas Instruments Europe: `Field oriented control of 3-phase AC-motors.' Literature Number: BPRA073, 1998.
    7. 7)
      • F. ALONGE , F. D'IPPOLITO , G. FERRANTE , F.M. RAIMONDI . Parameter identification of induction motor model using genetic algorithms. IEE Proc., Control Theory Appl. , 6 , 587 - 593
    8. 8)
      • M. BODSON , J. CHIASSON , R.T. NOVOTNAK . High-performance induction motor control via input-output linearization. Control Syst. Mag. , 4 , 25 - 33
    9. 9)
      • ALONGE, F.: `MRAC and sliding motion control techniques to design a new robust controller for induction motor drives', Power conversion conference, PCC '93, 1993, Yokohama, Japan, p. 290–296.
    10. 10)
      • BELLINI, A., FIGALLI, G., TOSTI, F.: `Linearized model of induction motor drives via nonlinear state feedback decoupling', 4th European Conference on Power electronics and application, EPE '91, 1991, Florence, Italy, 3, p. 36–41.
    11. 11)
      • ALONGE, F., D'IPPOLITO, F., RAIMONDI, F.M., URSO, A.: `Technique di identificazione dei parametri per stemi di movimentazione automatica' (in Italian)', AUTOMAZIONE '99, 1999, Rome, Italy, p. 307–316.
    12. 12)
      • J. STEFAN , M. BODSON , J. CHIASSON . Real-time estimation of the parameters and fluxes of induction motors. IEEE Trans. Ind. Appl. , 3 , 746 - 758
    13. 13)
      • W. LEONHARD . (1985) , Control of electrical drives.
    14. 14)
      • ALONGE, F., RAIMONDI, T.: `A new field oriented induction machine controller based on both optimal control and decoupling techniques', International Power electronics Conference, IPEC '90, 1990, Tokyo, Japan, p. 75–82.
    15. 15)
      • A. BELLINI , G. FIGALLI , G. ULIVI . Analysis and design of a microcomputer-based observer for an induction motor. Automatica , 4 , 549 - 555
    16. 16)
      • G. Verghese , S. Sanders . Observers for flux estimation in induction machines. IEEE Trans. Ind. Electron. , 1 , 85 - 94
    17. 17)
      • A. SABANOVIC , D.B. IZOSIMOF . Application of sliding modes to induction motor control. IEEE Trans. Ind. Appl. , 1 , 41 - 49
    18. 18)
      • R.T. NOVOTNAK , J. CHIASSON , M. BODSON . High-performance motion control of an induction motor with magnetic saturation. IEEE Trans. Control Syst. Technol. , 3 , 315 - 397
    19. 19)
      • ALONGE, F., RAIMONDI, T.: `An estimator of rotor flux of induction motors', 6-th Conference on Power electronics and motion Control, PEMC '90, 1990, Budapest, Hungary, 2, p. 494–499.
http://iet.metastore.ingenta.com/content/journals/10.1049/ip-cta_20010147
Loading

Related content

content/journals/10.1049/ip-cta_20010147
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading