**Author details**

**4. Conclusion**

*Torque ripple criteria.*

**Table 5.**

**Table 6.**

**60**

*Flux ripple criteria.*

In this chapter, the DTC position control of induction motor controlling photovoltaic panel has been considered. This panel is commonly exposed to the sun in fixed positions corresponding to the maximum sunshine recorded during a day. Firstly, the DTC-SVM approach using hysteresis controllers has been compared to the basic DTC strategy and DTC strategy with a look-up table including only active voltage vectors. Then, the problem of position regulation of an IM under DTC-SVM approaches has been treated. In fact, a comparison between three DTC-SVM approaches: a DTC-SVM approach using PI controllers, a DTC-SVM approach using PI controllers with a nonlinear compensator, and a DTC-SVM approach using sliding mode controllers, has been proposed. Finally, an adaptation approach of parameter estimators has been implemented in order to eliminate the effects of parameter variations and load disturbances. It has been shown through simulations the sliding mode DTC-SVM approach (i) eliminates the demagnetization effects, and gives lowest ripples on the torque and on the flux, (ii) presents less harmonic distortion on the stator currents, and (iii) it presents good performances with a good robustness with respect to parameter's variations and load disturbances,

**PI without a NL compensator PI with a NL Compensator Sliding Mode**

**PI without a NL compensator PI with a NL Compensator Sliding Mode Controllers**

ΦRIP,1 (%) 0.38 0.38 0.12 ΦRIP,2 (%) 0.44 0.44 0.15 ΦRIP,<sup>∞</sup> (%) 1.26 1.33 0.65

*Direct Torque Control Strategies of Electrical Machines*

*T*RIP,1 (%) 1.88 1.86 0.92 *T*RIP,2 (%) 2.71 2.66 0.62 *T*RIP,<sup>∞</sup> (%) 8.17 8.34 4.65

**Controllers**

particularly in the case of adapted estimators of machine parameters.

Fatma Ben Salem

Control and Energy Management Laboratory (CEMLab), University of Sfax, Sfax Engineering School, BP 1173, 3038 Sfax, Tunisia

\*Address all correspondence to: fatma.bensalem@isgis.usf.tn; fatma\_bs@yahoo.fr

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