A Time-Varying Gain Super-Twisting Algorithm to Drive a SPIM

To acquire a performed and practical solution that is free from chattering, this study proposes the use of an adaptive supertwisting algorithm to drive a single-phase induction motor. Partial feedback linearization is applied before using a super-twisting algorithm to control the speed and stator currents. The load torque is considered an unknown but bounded disturbance. Therefore, a time-varying switching gain that does not require prior knowledge of the disturbance boundary is proposed. A simple sliding surface is formulated as the difference between the real and desired trajectories obtained from the indirect rotor flux oriented control strategy. To illustrate the effectiveness of the proposed control structure, an experimental setup around a digital signal processor (dS1104) is developed and several tests are performed.

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Cite this article

[IEEE Style]

N. Zaidi, M. Jemli, H. B. Azza, M. Boussak, "A Time-Varying Gain Super-Twisting Algorithm to Drive a SPIM," Journal of Power Electronics, vol. 13, no. 6, pp. 955-963, 2013. DOI: 10.6113/JPE.2013.13.6.955.

[ACM Style]

Noureddaher Zaidi, Mohamed Jemli, Hechmi Ben Azza, and Mohamed Boussak. 2013. A Time-Varying Gain Super-Twisting Algorithm to Drive a SPIM. Journal of Power Electronics, 13, 6, (2013), 955-963. DOI: 10.6113/JPE.2013.13.6.955.