Abstract
This paper presents a comparison and real-time analysis of sliding mode disturbance observers for speed sensorless induction motor drives. The rotor speed tracking bandwidth and the load rejection capability are improved by altering the profile of the sliding hyperplane used in the state observer. The entire system is built in Simulink environment, and real-time RT-lab blocksets are integrated into the same and tested in a new Processor-in-Loop-based test bench. The Processor-in-Loop test bench uses the OP4500 real-time target and loop back adapters for signal routing. This ensures that there is a real-world signal transfer between the plant and the controller.
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Abbreviations
- \( {\text{i}}_{\text{ds}}^{\text{s}} ,{\text{i}}_{\text{qs}}^{\text{s}} ,{\text{i}}_{\text{dr}}^{\text{r}} ,{\text{i}}_{\text{qr}}^{\text{r}} ,{\text{i}}_{\text{as}}^{\text{ * }} , {\text{i}}_{\text{bs}}^{\text{ * }} , {\text{i}}_{\text{cs}}^{\text{ * }} \) :
-
D-, q-, and three-phase reference current components
- \( {\text{v}}_{\text{ds}}^{\text{s}} ,{\text{v}}_{\text{qs}}^{\text{s}}\) :
-
D- and q-axis stator voltage components
- Tr,Rs, Rr:
-
Rotor time constant, stator, and rotor resistance
- Σ,Lr, Lm, Ls:
-
Leakage reactance, rotor, magnetizing, and stator self-inductance
- Lls,Llr,:
-
Stator and rotor leakage inductances
- \({{\uppsi}}_{\text{ds}}^{\text{s}} ,{{\uppsi}}_{\text{qs}}^{\text{s}}, {{\uppsi}}_{\text{dr}}^{\text{s}}, {{\uppsi}}_{\text{qr}}^{\text{s}}\) :
-
D-axis and q-axis flux linkages
- \( \uptheta_{\text{f}} ,\uptheta_{\text{sl}} ,\uptheta_{\text{r}} \) \( {\text{T}}_{\text{e}}^{ *} \) :
-
Field, slip, and rotor angle, reference electromagnetic torque
References
Krishna, M., Daya, J.L.F.: Dynamic performance analysis of mras based speed estimators for speed sensorless induction motor drives. In: IEEE International Conference on Advances in Electronics, Computers and Communication, pp 1–6 (2014)
Krishna, M., Daya, J.L.F.: MRAS speed estimator with fuzzy and PI stator resistance adaptation for sesnorless induction motor drives using RT-Lab. Perspectives in Science, pp. 121–126. Elsevier (2016)
Krishna, M., Daya, J.L.F.: An improved stator resistance adaptation mechanism in MRAS estimator for sensorless induction motor drives. In: Advances in Intelligent Systems and Computing, vol. 458, pp. 371–385. Springer-Verlag (2016)
Krishna, M., Daya, J.L.F., Sanjeevikumar, P., Mihet-Popa, L.: Real-time performance and analysis of a modified state observer for sensorless induction motor drives using RT-Lab for electric vehicle applications. Energies, MDPI, pp. 1–23 (2017)
Krishna, M., Daya, J.L.F.: Effect of Parametric variations and Voltage unbalance on adaptive speed estimation schemes for speed sensorless induction motor drives, pp. 77–85. IAES, Indonesia, Int. J. Power. Elect. Drive. Sys (2015)
Krishna, M., Daya, J.L.F.: A modified disturbance rejection mechanism in sliding mode state observer for sensorless induction motor drive. Arab. J. Sci. Eng. 3571–3586 (2016) (Springer-Verlag)
Krishna, M., Daya, J.L.F.: Adaptive speed observer with disturbance torque compensation for sensorless induction motor drives using RT-lab. Turk. J. Elect. Eng. Comp. Sci. Tubitak 3792–3806 (2016)
Slotine, J.J.E., Li, W.: Applied Non Linear Control. Prentice-Hall (1991)
Comanescu, M.: Design and analysis of a sensorless sliding mode flux observer for induction motor drives. In: IEEE International Electric Machines & Drives Conference, pp. 569–574 (2011)
Bose, B.K.: Power Electronics and Variable Frequency Drives—Technology and Applications. Wiley (2013)
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Appendix
Appendix
Model ratings and parameters: A 50 HP, three-phase, 415 V, 50 Hz, star-connected, four-pole induction motor with equivalent parameters: Rs = 0.087 Ω, Rr = 0.228 Ω, Lls = Llr = 0.8 mH, Lm = 34.7 mH, inertia, J = 1.662 kgm2, friction factor = 0.1.
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Krishna, S.M., Daya, J.L.F., Kamal Basha, C. (2018). Real-Time Analysis of a Nonlinear State Observer with Improved Disturbance Compensation for Sensorless Induction Motor. In: Bhateja, V., Coello Coello, C., Satapathy, S., Pattnaik, P. (eds) Intelligent Engineering Informatics. Advances in Intelligent Systems and Computing, vol 695. Springer, Singapore. https://doi.org/10.1007/978-981-10-7566-7_66
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DOI: https://doi.org/10.1007/978-981-10-7566-7_66
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