Neural Computing and Applications

, Volume 31, Supplement 2, pp 777–792 | Cite as

An experimental demonstration of hybrid fuzzy-fuzzy space-vector control on AC variable speed drives

  • Muawia MagzoubEmail author
  • Nordin Saad
  • Rosdiazli Ibrahim
  • Muhammad Irfan
Original Article


This work presents the experimental demonstration of a hybrid fuzzy-fuzzy controller speed control of a squirrel-cage induction motor variable speed drive based on the space-vector pulse width modulation technique by means of digital signal processing. In particular, two features of field-oriented control were engaged to design a hybrid fuzzy-fuzzy controller, namely the current and frequency. In order to overcome the limitations of the field-oriented control technique, the principle of the hybrid fuzzy-fuzzy controller is introduced in the course of the acceleration–deceleration stages to regulate the speed of the rotor with the help of a fuzzy frequency controller. Conversely, a fuzzy stator current magnitude controller was involved during the steady-state. The results revealed that the control approach has the ability to deliver a practical control solution in the presence of diverse operating conditions.


hybrid fuzzy-fuzzy control DSP controller space-vector pulse width modulation squirrel-cage induction motor indirect field-oriented control hall-effect current sensors 



Artificial bee colony


Alternate current


Ant colony optimization


Analog to digital converter


Artificial neural network


Bacteria foraging


Bat search algorithm


Code composer studio


Data acquisition card


Direct current


Direct field-oriented control


Digital motor control


Digital signal processing


Direct torque control


Firefly algorithm


Feedback linearization


Fuzzy logic control


Field-oriented control


Fuzzy proportional-integral control


Genetic algorithm


Hybrid fuzzy-fuzzy control


Hybrid fuzzy-PI control


Imperialist competitive algorithm


Indirect field-oriented control


Induction motor


Proportional-integral control


Personal computer


Particle swarm optimization


Pulse width modulation


Quadrature encoder pulse


Squirrel-cage induction motor


Sliding mode control


Space-vector PWM


Universal serial bus


Voltage source inverter



The contributions of Universiti Teknologi PETRONAS (UTP) in terms of a graduate assistantship scheme award and the Universiti Research Internal Fund (URIF) No. 10/2013 are gratefully acknowledged.

Compliance with ethical standards

Conflicts of Interest

The authors declare no conflict of interest.


  1. 1.
    M. Irfan, N. Saad, R. Ibrahim, V. S. Asirvadam, and M. Magzoub (2016) An online fault diagnosis system for induction motors via instantaneous power analysis. Tribol. Trans., no. June, pp. 1–13Google Scholar
  2. 2.
    T. Andrzej (2001) Control of induction motors. Academic PressGoogle Scholar
  3. 3.
    Hanumant S, Akshay A, Vishal G (2014) Speed control of induction motor using vector control technique. Int. J. Eng. Res. Technol. 3(4):2399–2405Google Scholar
  4. 4.
    Gutierrez-Villalobos J, Rodriguez-Resendiz J, Rivas-Araiza E, Martínez-Hernández M (2015) Sensorless FOC performance improved with on-line speed and rotor resistance estimator based on an artificial neural network for an induction motor drive. Sensors 15(7):15311–15325Google Scholar
  5. 5.
    S. J. N. Chandra and D. Nikhitha (2013) Modeling and simulation of IM drive performance using PI, ANN and FLC,” in 2013 International Conference on IT Convergence and Security, ICITCS 2013, pp. 1–4Google Scholar
  6. 6.
    Wang S-Y, Tseng C-L, Lin S-C, Chiu C-J, Chou J-H (2015) An adaptive supervisory sliding fuzzy cerebellar model articulation controller for sensorless vector-controlled induction motor drive systems. Sensors 15(4):7323–7348Google Scholar
  7. 7.
    Saghafinia A, Ping H, Uddin M (2013) Sensored field oriented control of a robust induction motor drive using a novel boundary layer fuzzy controller. Sensors 13(12):17025–17056Google Scholar
  8. 8.
    Kamini D, Shailendra G, Deepak N (2014) Speed control of 3-phase induction motor using self-tuning fuzzy PID controller and conventional PID controller. Int. J. Inf. Comput. Technol. 4(12):1185–1193Google Scholar
  9. 9.
    Pravallika S, Dinakara Prasad Reddy P, Chandra Sekhar J (2015) Optimization of speed control of induction motor using self tuned PI plus fuzzy hybrid controller. Int. J. Emerg. Technol. Adv. Eng. 5(1):258–262Google Scholar
  10. 10.
    Riaz AS, Dinakara Prasad Reddy P, Chandra SJN (2015) Speed control of induction motor by using intelligence techniques. Int. J. Eng. Res. Appl. 5(1):130–135Google Scholar
  11. 11.
    Raja CHVN, Jaya Raju M (2015) Speed control of induction motor by Z-N method and genetic algorithm optimization with PI and PID controller. Int. J. Innov. Res. Electr. Electron. Instrum. Control Eng. 3(3):15–20Google Scholar
  12. 12.
    Vineet Kumar T, Abdul Z, Satyam P (2014) Speed control of induction motor fed from wind turbine using genetic algorithm. Int. J. Adv. Res. Electr. Electron. Instrum. Eng. 3(8):11457–11465Google Scholar
  13. 13.
    Oshaba AS, Abd Elazim SM, Ali ES (2015) Artificial bee colony algorithm based maximum power point tracking in photovoltaic system. WSEAS Trans. Power Syst. 10:123–134Google Scholar
  14. 14.
    E. Essamudin A. (2014) Artificial bee colony-based design of optimal on-line self-tuning PID-controller fed AC drives. Int. J. Eng. Res. 3(12):807–811Google Scholar
  15. 15.
    Oshaba AS, Elazim SMA, Ali ES (2015) ACO based speed control of SRM fed by photovoltaic system. Int. J. Electr. Power Energy Syst. 67:529–536Google Scholar
  16. 16.
    Ali ES (2015) Speed control of DC series motor supplied by photovoltaic system via firefly algorithm. Neural Comput. Appl. 26(6):1321–1332Google Scholar
  17. 17.
    Oshaba A, Ali E (2013) Speed control of induction motor fed from wind turbine via particle swarm optimization based PI controller. Res. J. Appl. Sci. Eng. Technol. 5(18):4594–4606Google Scholar
  18. 18.
    Eissa M, Virk G, Ghith E, Ghany A (2013) Optimum induction motor speed control technique using particle swarm optimization. Int. J. Energy Eng. 3(2):65–73Google Scholar
  19. 19.
    Oshaba A, Ali E (2013) Swarming speed control for DC permanent magnet motor drive via pulse width modulation technique and DC/DC converter. Res. J. Appl. Sci. Eng. Technol. 5(18):4576–4583Google Scholar
  20. 20.
    A. Kaveh (2014) Advances in metaheuristic algorithms for optimal design of structures. SpringerGoogle Scholar
  21. 21.
    Oshaba A, Ali E (2014) Assessment study on speed control of DC series motor fed by photovoltaic system via bacterial foraging. J. Electr. Eng. 14(3):1–9Google Scholar
  22. 22.
    Oshaba A, Ali E (2014) Bacteria foraging: a new technique for speed control of DC series motor supplied by photovoltaic system. WSEAS Trans. Power Syst. 9:185–195Google Scholar
  23. 23.
    Muralidharan D, Elakkiya M (2014) Performance enhancement of three phase squirrel cage induction motor using BFOA. Int. J. Eng. Res. Gen. Sci. 2(6):720–728Google Scholar
  24. 24.
    Abd-Elazi S M, Ali ES (2013) Power system stability enhancement via bacteria foraging optimization algorithm. Arab. J. Sci. Eng. 38(3):599–611Google Scholar
  25. 25.
    Elazim AS, Ali E (2013) Synergy of particle swarm optimization and bacterial foraging for TCSC damping controller design. WSEAS Trans. Power Syst. 8(2):74–84Google Scholar
  26. 26.
    Hamed S, Behrooz V, Majid E (2013) A robust PID controller based on imperialist competitive algorithm for load- frequency control of power systems. ISA Trans. 52(1):88–95Google Scholar
  27. 27.
    Abdullah Al K, Seyedmohsen H (2015) Fuzzy adaptive imperialist competitive algorithm for global optimization. Neural Comput. Appl. 26(4):813–825Google Scholar
  28. 28.
    Lukasz S, Mehdi N (2014) Corrosion current density prediction in reinforced concrete by imperialist competitive algorithm. Neural Comput. Appl. 25(7–8):1627–1638Google Scholar
  29. 29.
    Ali E (2014) Optimization of Power System Stabilizers using BAT search algorithm. Int. J. Electr. Power Energy Syst. 61:683–690Google Scholar
  30. 30.
    Ali E (2015) ICA-based speed control of induction motor fed by wind turbine. Neural Comput & Applic: 1–9. doi: 10.1007/s00521-015-2092-8
  31. 31.
    Brian H, Longya X, Yifan T (1997) Fuzzy logic enhanced speed control of an indirect field oriented induction machine drive. IEEE Trans. Power Electron. 12(5):772–778Google Scholar
  32. 32.
    Chich Yi H, Tien Chi C, Ching Lien H (1999) Robust control of induction motor with a neural-network load torque estimator and a neural-network identification. IEEE Trans. Ind. Electron. 46(5):990–998Google Scholar
  33. 33.
    Hsin-Jang S, Kuo-Kai S (1999) Nonlinear sliding-mode torque control with adaptive backstepping approach for induction motor drive. IEEE Trans. Ind. Electron. 46(2):380–389Google Scholar
  34. 34.
    Uddin M, Radwan T, Azizur R (2002) Performances of fuzzy-logic-based indirect vector control for induction motor drive. IEEE Trans. Ind. Appl. 38(5):1219–1225Google Scholar
  35. 35.
    Koshkouei A, Zinober A, B. Keith J. (2004) Adaptive sliding mode backstepping control of nonlinear systems with unmatched uncertainty. Asian J. Control 6(4):447–453Google Scholar
  36. 36.
    Boukas T, Habetler T (2004) High-performance induction motor speed control using exact feedback linearization with state and state derivative feedback. IEEE Trans. Power Electron. 19(4):1990–1996Google Scholar
  37. 37.
    W. Chung-Yuen, K. Duek Heon, and B. Bose (1992) An induction motor servo system with improved sliding mode control,” in Proceedings of the 1992 International Conference on Industrial Electronics, Control, Instrumentation, and Automation, pp. 60–66Google Scholar
  38. 38.
    Utkin V (1993) Sliding mode control design principles and applications to electric drives. Ind. Electron. IEEE Trans. 40(1):23–36Google Scholar
  39. 39.
    U. Vadim, G. Jurgen, and S. Jingxin (2009) Sliding mode control in electro-mechanical systems. CRC pressGoogle Scholar
  40. 40.
    Mohamed A, Abdel Ghani A, Youcef R, Abdel Kader Z (2007) Sliding mode speed and flux control of field-oriented induction machine. Acta Electrotech. Inform. 7(1):1–7Google Scholar
  41. 41.
    Fallaha CJ, Maarouf S, Hadi Youssef K, Kamal A-H (2011) Sliding-mode robot control with exponential reaching law. IEEE Trans. Ind. Electron. 58(2):600–610Google Scholar
  42. 42.
    T. Brehm and K. Rattan (1896) Hybrid fuzzy logic PID controller,” In Proceedings of 1994 I.E. 3rd International Fuzzy Systems Conference, pp. 1682–1687Google Scholar
  43. 43.
    R. A R Norouzzadeh and H. D. Taghirad (2009) A novel hybrid fuzzy-PID controller for tracking control of robot manipulators,” in Proceedings of the 2008 I.E. International Conference on Robotics and Biomimetics, pp. 1625–1630Google Scholar
  44. 44.
    I. Erenoglu, E. Yesil, I. Eksin, and M. Guzelkaya (2006) An intelligent hybrid fuzzy PID controller,” in Proceeding of the 20th European Conference on Modeling and Simulation, vol. 5, no. Cd, pp. 1–5Google Scholar
  45. 45.
    Zhen Yu Z, Masayoshi T, Satoru I (1993) Fuzzy gain scheduling of PID controllers. IEEE Trans. Syst. Man Cybern. 23(5):1392–1398Google Scholar
  46. 46.
    Solihin M, Legowo A (2009) Fuzzy-tuned PID anti-swing control of automatic gantry crane. J. Vib. Control 16(1):127–145zbMATHGoogle Scholar
  47. 47.
    Paramasivam S, Arumugam R (2005) Hybrid fuzzy controller for speed control of switched reluctance motor drives. Energy Convers. Manag. 46(9–10):1365–1378Google Scholar
  48. 48.
    A. Rahideh and M. Shaheed (2006) Hybrid fuzzy-PID-based control of a twin rotor MIMO system. In IECON Proceedings (Industrial Electronics Conference), pp. 49–54Google Scholar
  49. 49.
    Sang Min K, Woo Yong H (2006) Induction motor servo drive using robust PID-like neuro-fuzzy controller. Control Eng. Pract. 14(5):481–487Google Scholar
  50. 50.
    H. Liu and J. Xu (2008) Research of hybrid fuzzy-PID control technology based on the temperature and humidity control. In 2008 International Symposium on Computational Intelligence and Design, pp. 190–193Google Scholar
  51. 51.
    N. Saad, M. A. Magzoub, R. Ibrahim, and M. Irfan(2015) An optimized hybrid fuzzy-fuzzy controller for PWM-driven variable speed drives. In Induction Motors - Applications, Control and Fault Diagnostics, R. Gregor, Ed. InTech, pp. 231–261Google Scholar
  52. 52.
    Takahashi I, Noguchi T (1986) A new quick-response and high-efficiency control strategy of an induction motor. Ind. Appl. IEEE Trans. IA-22(5):820–827Google Scholar
  53. 53.
    K. Shi, Y. Wong, and T. Chan (2001) A novel hybrid fuzzy /PI two-stage controller for an induction motor drive. In IEEE International Electric Machines & Drives Conference pp. 415–421Google Scholar
  54. 54.
    K. Shi, Y. Wong, and T. Chan (1998) Hybrid fuzzy two-stage controller for an induction Motor. In The IEEE International Conference on Systems, Man, and Cybernetics, pp. 1898–1903Google Scholar
  55. 55.
    Ying Shieh K (2008) Design and implementation of a high-performance PMLSM drives using DSP chip. IEEE Trans. Ind. Electron. 55(3):1341–1351Google Scholar
  56. 56.
    S. Mondal, B. Bose, J. Pinto, and Oleschuk (2002) Space vector pulse width modulation of three-level inverter extending operation into overmodulation region. In Proceedings 2002 I.E. 33rd Annual Power Electronics Specialists Conference (PESC’02), vol. 18, no. 2, pp. 497–502Google Scholar
  57. 57.
    Bose BK (2002) Modern power electronics and AC drives. Prentice Hall PTR, NJGoogle Scholar
  58. 58.
    A. Hughes (2006) Electric motors and drives fundamentals, types and applications. ElsevierGoogle Scholar
  59. 59.
    J. Jin-Woo (2005) Project#2 space vector PWM inverterGoogle Scholar
  60. 60.
    Vinoth KK, Prawin Angel M, Suresh JPS, Kumar (2010) Simulation and comparison of SPWM and SVPWM control for three phase inverter. ARPN J. Eng. Appl. Sci. 5(7):61–74Google Scholar
  61. 61.
    H. Jin , Y. Zhao, and D-Z Wang (2009) Simulation study of AC motor speed sensorless vector control system based on SVPWM,” in 2009 Ninth International Conference on Hybrid Intelligent Systems, vol. 1, pp. 524–528Google Scholar
  62. 62.
    Ooi C, Rahim N, Hew W, Kuan L (2009) FPGA-based field-oriented control for induction motor speed drive. IEICE Electron. Express 6(6):290–296Google Scholar
  63. 63.
    J. Michael (1989) Industrial control electronics, applications and design. Prentice-Hall International EditionsGoogle Scholar

Copyright information

© The Natural Computing Applications Forum 2017

Authors and Affiliations

  • Muawia Magzoub
    • 1
    Email author
  • Nordin Saad
    • 1
  • Rosdiazli Ibrahim
    • 1
  • Muhammad Irfan
    • 1
  1. 1.Department of Electrical and Electronic EngineeringUniversiti Teknologi PETRONAS (UTP)PerakMalaysia

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