The paper presents the application of the Taguchi's global optimisation algorithm to analyse the self-excited induction generator performances. The analysis is based essentially on finding the root of the equivalent circuit's admittance (or the impedance) being equated to zero. This equation has two unknowns the magnetizing reactance and the frequency. The two variables depend strongly on the equivalent circuit parameters and the external parameters which are the load, the excitation capacitance and the prime mover rotor speed. Previous work on the subject have used either gradient based or global search algorithms. In this work, a new global search technique is used to solve this equation. Besides its global search features, this optimization algorithm is superior in terms of accuracy and ease of implementation. A study of some simulations results carried out using Matlab software has been done to corroborate the above advantages.

In this paper, Speed Sensorless Vector Control of Double star Induction machine DSIM using sliding mode observer is presented. The search for the gains of conventional Luenberger observer in the sense of stability Lyapunov, oriented to sliding mode observer form, but the sign function caused the chattering effect, the replace it by function smooth are adopted. As a result, application of DSIM speed sensorless vector control using sliding mode has shown that is robust to load disturbances and / or reference speed change. The proposed control scheme is verified by simulation.

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