Restricted accessResearch articleFirst published online 2026
Basic implementation of indirect field-oriented control driving a three-phase squirrel cage induction motor MATLAB compared with open-loop V / f speed control
The ubiquitous utilization of three-phase squirrel cage induction motors in numerous commercial and industrial sectors gives them a special place in the academic arena. The excellent properties of these motors, including ease of construction, robustness, and low manufacturing costs, make them superior to other motor types. The fact that these motors operate at approximately a fixed speed initially limited their usage in applications where speed regulation is required. However, with the development of power electronics and the introduction of motor drives, these motors have regained their position. While readers can easily find several resources on the basic operating principles of these motors, this article aims to present a single article that gathers the essence of these references, along with the systematic execution of one of the most popular drive types—indirect field-oriented control—in MATLAB/Simulink. This article is mainly intended for university students and new researchers in this field.
SengamalaiUAnbazhaganGThamizhThentralTM, et al.Three phase induction motor drive: a systematic review on dynamic modeling, parameter estimation, and control schemes. Energies2022; 15: 8260.
2.
BarnesM. Practical variable speed drives and power electronics. Oxford: Newnes, 2003.
3.
SterjovaMSaracV. Review of scalar control strategy of induction motor: constant V/f method for speed control. Balkan J Appl Math Inf2022; 5: 57–68.
4.
KohlruszGFodorD. Comparison of scalar and vector control strategies of induction motors. Hung J Ind Chem2011; 39: 265–270.
5.
VajszTSzámelLRáczG. Simulation, analysis and comparison of field-oriented control and direct torque control. In: Proceedings of the 30th Kandó conference, Budapest, Hungary, 2014, pp.1–6. Budapest: Óbuda University.
6.
El OuanjliNDerouichAEl GhzizalA, et al.Modern improvement techniques of direct torque control for induction motor drives: a review. Prot Control Mod Power Syst2019; 4: 1–12.
7.
FatimiMHBaigMAKhanHA, et al. Comparison between indirect field oriented control and V/F control of PMSM using SVPWM. In: Proceedings of the 14th international conference on power electronics, machines and drives (PEMD Europe), Turin, Italy, June 2025, pp.40–45. IET.
8.
Venu GopalBT. Comparison between direct and indirect field oriented control of induction motor. Int J Eng Trends Technol2017; 43: 364–369.
9.
ThongamJSBeguenaneR. Sensorless vector control of induction motor drive: a model based approach. In: Chomat M (ed.) Electric machines and drives. London: IntechOpen, 2011, pp.77–96.
10.
ZebKAliZSaleemK, et al.Indirect field-oriented control of induction motor drive based on adaptive fuzzy logic controller. Electr Eng2017; 99: 803–815.
11.
PadmanabanSDayaFJBlaabjergF, et al.Wavelet-fuzzy speed indirect field oriented controller for three-phase AC motor drive: investigation and implementation. Eng Sci Technol Int J2016; 19: 1099–1107.
12.
TikkaniAKarasaniRRRaoKVG, et al.Fuzzy-2 deployment in indirect vector control and hybrid space vector modulation for a two-level inverter fed induction motor drive. Sci Rep2025; 15: 13379.
13.
RezaeiNCossarCMehranK. Modelling and analysis of indirect field-oriented control of SVPWM-driven induction motor drive. In: Proceedings of the IEEE Canadian conference on electrical and computer engineering, Canada, May 2018, pp.1–6. Piscataway, NJ: IEEE.
14.
KasulaSShresthaBKatwalK, et al.Implementation of indirect field oriented control using space vector pulse width modulation for the control of induction motor. Int J Eng Technol2023; 1: 139–152.
15.
HusseinTAMohammedLA. Detailed Simulink implementation for induction motor control based on space vector pulse width modulation SVPWM. Indones J Electr Eng Comput Sci2021; 22: 1251–1262.
16.
TrzynadlowskiAM. Control of induction motors. Amsterdam: Elsevier, 2000.
17.
WangFZhangZMeiX, et al.Advanced control strategies of induction machines: field oriented control, direct torque control and model predictive control. Energies2018; 11: 20.
18.
LeeRJPillayPHarleyRG. D–Q reference frames for the simulation of induction motors. Electr Power Syst Res1984; 8: 15–26.
19.
BodsonMChiassonJNNovotnakRT. A systematic approach to selecting flux references for torque maximization in induction motors. IEEE Trans Control Syst Technol1995; 3: 388–397.
20.
JacobJChitraAThomasRV, et al. Space vector pulse width modulation for a seven level inverter applied to an induction motor drive. In: Proceedings of the international conference on innovations in electrical, electronics, instrumentation and media technology, India, February 2017, pp.117–122. Tamil Nadu: IEEE.
21.
RahmatullahRAkASertellerNFO. SMC controller design for DC motor speed control applications and performance comparison with FLC, PID and PI controllers. In: Intelligent sustainable systems: Selected papers of WorldS4 2022, vol. 2. Singapore: Springer Nature, 2023, pp.607–617.
22.
HamamciSETanN. Design of PI controllers for achieving time and frequency domain specifications simultaneously. ISA Trans2006; 45: 529–543.
23.
ZigmundBTerlizziAGarciaXDT, et al.Experimental evaluation of PI tuning techniques for field oriented control of permanent magnet synchronous motors. Adv Electr Electron Eng2012; 14: 114–119.
24.
RezaeiNMehranKCossarC. A model-based implementation of an MPPT technique and a control system for a variable speed wind turbine PMSG. Int J Model Identif Control2019; 31: 3–15.
25.
WangYGShaoHH. Optimal tuning for PI controller. Automatica2000; 36: 147–152.
26.
SrivatchanLN. Parameter estimation and indirect vector control of AC induction motor. MSc Thesis, University of Minnesota, USA, 2014.
27.
MohanN. Advanced electric drives: Analysis, control, and modeling using MATLAB/Simulink. Hoboken, NJ: John Wiley & Sons, 2014.
28.
OgataK. Modern control engineering, 5th ed. Upper Saddle River, NJ: Prentice Hall, 2010.
