In the context of induction motor control, there are various control
strategies used to separately control torque and flux. One common approach is
known as Field-Oriented Control (FOC).This
technique involves transforming the three-phase currents and voltages into a
rotating reference frame, commonly referred to as the “dq” frame.
In this frame, the torque/speed and flux components are decoupled, allowing for
independent control, by doing so, the motor’s speed can be regulated accurately and maintain a constant flux which is crucial to ensure optimal motor
performance and efficiency. The research focused on studying and simulating a
field-oriented control system using fuzzy control techniques for an induction
motor. The aim was to address the issue of parameter variations, particularly
the change in rotor resistance during motor operation, which causes the control
system to deviate from the desired direction. This deviation implies to an
increase in the magnetic flux value, specifically the flux component on the
q-axis. By employing fuzzy logic techniques to regulate flux vector’s
components in the dq frame, this problem was successfully resolved, ensuring
that the magnetic flux value remains within the nominal limits. To enhance the
control system’s performance, response speed, and efficiency of the motor,
sliding mode controllers were implemented to regulate the current in the inner
loop. The simulation results demonstrated the proficiency of the proposed
methodology.
References
[1]
Horch, M., Boumédiène, A. and Baghli, L. (2019) Direct Torque Control of Induction Machine Drive Based on Sliding Mode Controller and a Stator Resistance Compensator with a New Hybrid Observer. International Journal of Digital Signals and Smart Systems, 3, 60-78. https://doi.org/10.1504/IJDSSS.2019.103384
[2]
Diyoke, G.C., Okeke, C. and Aniagwu, U. (2016) Different Methods of Speed Control of Three-Phase Asynchronous Motor. American Journal of Electrical and Electronic Engineering, 4, 62-68.
[3]
Chen, M.X. and Zhang, W.D. (2015) H2 Optimal Speed Regulator for Vector- Controlled Induction Motor Drives. The 27th Chinese Control and Decision Conference (2015 CCDC), Qingdao, 23-25 May 2015, 1233-1236.
https://doi.org/10.1109/CCDC.2015.7162106
[4]
Sudaryanto, A., et al. (2020) Design and Implementation of SVPWM Inverter to Reduce Total Harmonic Distortion (THD) on Three Phase Induction Motor Speed Regulation Using Constant V/F. 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), Yogyakarta, 10-11 December 2020, 412-417. https://doi.org/10.1109/ISRITI51436.2020.9315353
[5]
Karthik, D. and Chelliah, T.R. (2016) Analysis of Scalar and Vector Control Based Efficiency-Optimized Induction Motors Subjected to Inverter and Sensor Faults. 2016 International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), Ramanathapuram, 25-27 May 2016, 462-466.
https://doi.org/10.1109/ICACCCT.2016.7831682
[6]
Liu, P. and Hao, L. (2006) Vector Control-Based Speed Sensorless Control of Induction Motors using Sliding-Mode Controller. 2006 6th World Congress on Intelligent Control and Automation, Dalian, 21-23 June 2006, 1942-1946.
https://doi.org/10.1109/WCICA.2006.1712695
[7]
Bharti, R., Kumar, M. and Prasad, B.M. (2019) V/F Control of Three Phase Induction Motor. 2019 International Conference on Vision towards Emerging Trends in Communication and Networking (ViTECoN), Vellore, 30-31 March 2019, 1-4.
https://doi.org/10.1109/ViTECoN.2019.8899420
[8]
Pena, J.M. and Díaz, E.V. (2016) Implementation of V/f Scalar Control for Speed Regulation of a Three-Phase Induction Motor. 2016 IEEE ANDESCON, Arequipa, 19-21 October 2016, 1-4. https://doi.org/10.1109/ANDESCON.2016.7836196
[9]
Divyasree, P. and Binojkumar, A.C. (2017) Vector Control of Voltage Source Inverter Fed Induction Motor Drive Using Space Vector PWM Technique. 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), Chennai, 1-2 August 2017, 2946-2951.
https://doi.org/10.1109/ICECDS.2017.8389996
[10]
Trabelsi, R., Khedher, A., Mimouni, M.F. and M’sahli, F. (2012) Backstepping Control for an Induction Motor Using an Adaptive Sliding Rotor-Flux Observer. Electric Power Systems Research, 93, 1-15. https://doi.org/10.1016/j.epsr.2012.06.004
[11]
Deshpande, G.V. and Sankeshwari, S.S. (2013) Speed Control of Induction Motors Using Hybrid Pi plus Fuzzy Controller. International Journal of Advances in Engineering & Technology, 6, No. 5.
[12]
Elabed, H.S., Ali, M.M. and Jamal, S.A. (2013) Indirect Field Oriented Control of Induction Motor (IM) Drive Using Fuzzy Logic Controller (FLC). 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), Melbourne, 19-21 June 2013, 1914-1917.
[13]
Rafa, S., Larabi, A., Barazane, L., Manceur, M., Essounbouli, N. and Hamzaoui, A. (2014) Implementation of a New Fuzzy Vector Control of Induction Motor. ISA Transactions, 53, 744-754. https://doi.org/10.1016/j.isatra.2014.02.005
[14]
Uddin, M.N., Radwan, T.S. and Rahman, M.A. (2002) Performances of Fuzzy-Logic- Based Indirect Vector Control for Induction Motor Drive. IEEE Transactions on Industry Applications, 38, 1219-1225. https://doi.org/10.1109/TIA.2002.802990
[15]
Parvat, B.J., Jadhav, V.K. and Lokhande, N.N. (2012) Design and Implementation of Sliding Mode Controller for Level Control. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE), 2, 51-54.
[16]
Sebaaly, F., Vahedi, H., Kanaan, H.Y., Moubayed, N. and Al-Haddad, K. (2016) Design and Implementation of Space Vector Modulation-Based Sliding Mode Control for Grid-Connected 3L-NPC Inverter. IEEE Transactions on Industrial Electronics, 63, 7854-7863. https://doi.org/10.1109/TIE.2016.2563381
[17]
Gadgune, S. and Joshi, P.M. (2021) Control of Three-Phase PWM Rectifier as Virtual Synchronous Machine Using an Integral Sliding Mode Controller. Journal of The Institution of Engineers (India): Series B, 102, 193-201.
https://doi.org/10.1007/s40031-020-00523-z
