Takagi-Sugeno Fuzzy Estimator Design for Adaptive Vector Control Systems

Abstract:

This paper presents an adaptive pseudo reduced-order Takagi-Sugeno (T-S) fuzzy flux estimator for the induction motor direct field orientation control system. The estimator gain can be obtained by solving a set of linear matrix inequalities (LMIs) to estimate the rotor flux accurately. It is well known that, because of changes in temperature, variations of stator and rotor resistances affect the accuracy of rotor flux estimation. To resolve this problem, a cerebellar model articulation proportional integral controller (CMAPIC) is proposed to estimate the stator and rotor resistances during temperature variations. These estimated quantities, including stator and rotor resistances, are taken as the T-S fuzzy flux estimator inputs, so that the flux estimation is uninfluenced by these parameter variations. Thus the estimators enhance the robustness of the system. Moreover, this work uses a cerebellar model articulation controller to estimate the rotor speed, which is fed back to the adaptive supervisory fuzzy cerebellar model articulation speed controller (ASFCMAC) to achieve the speed sensor-less control.

• Periodical: Applied Mechanics and Materials (Volumes 284-287)
• Pages: 2337-2340
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.284-287.2337
• Online since: January 2013
• Authors: Shun Yuan Wang, Chwan Lu Tseng, Shou Chuang Lin, Jen Hsiang Chou, Chih Chen Chen
• Keywords: Adaptive Theory, Takagi-Sugeno (T-S) Fuzzy Flux Estimator, Vector Control (VC)

References

[1] T. Takagi and M. Sugeno, Fuzzy identification of system and its applications to modeling and control, IEEE Transactions System, Man, Cybern., vol. SMC-15, no. 1, pp.116-132, (1985).

DOI: 10.1109/tsmc.1985.6313399

[2] Y. A. Zorgani, Y. Koubaa, and M. Boussak, Simultaneous estimation of speed and rotor resistance in sensorless ISFOC induction motor drive based on MRAS Scheme, in Electrical Machines (ICEM), 2010 International Conference on, pp.1-6, (2010).

DOI: 10.1109/icelmach.2010.5607883

[3] Y. N. Lin and C. L. Chen, Adaptive pseudoreduced-order flux observer for speed sensorless field-oriented control of IM, IEEE Transactions on Industry Electronics, vol. 46, no. 5, pp.1042-1045, (1999).

DOI: 10.1109/41.793356

[4] S. S. Perng and Y.S. Lai and C. H. Liu, Sensorless vector controller for induction motor drives with parameter identification, IEEE 1998 24th Proceedings Conference of Industrial Electronics Society, vol. 2, pp.1008-1013, (1998).

DOI: 10.1109/iecon.1998.724232