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Optimization of Electrical Drives in Transient for Traction Applications


F. Seccamonte

Semester Thesis, SS16 (15036)

In this work we propose a magnetization strategy for electrical drives based on losses minimization: using a loss function identified in a prevoius work, we model the trajectory planning as a constrained optimization problem. We use constraint relaxation to simplify the problem and we compare our results with the ones obtained using other strategies, such as nominal flux tracking or Maximum Torque per Ampere (MTPA). Experimental evidence suggests that the performance improvement given by the losses minimization strategy is negligible compared to MTPA strategy, but the comparison with the nominal flux tracking provides a notable energy efficiency improvement.
Finally, we perform a computational assessment of the proposed procedure, showing how critical the choice of parameters is: if not handled carefully, it leads to unsatisfying performances or makes the problem intractable.

Supervisors: Giampaolo Torrisi, Damian Frick, Manfred Morari


Type of Publication:

(13)Semester/Bachelor Thesis

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2016:IFA_5524
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