U radu je obrađena problematika vektorskog upravljanja asinkronim strojem. Dana su teorijska razmatranja koja uključuju sam princip rada asinkronog stroja, njegov matematički model, strukture vektorskog upravljanja i upravljanje sklopkama izmjenjivača. Rad se fokusirao na razvoj izravnog vektorskog upravljanja orijentacijom rotorskog toka s mjerenjem brzine vrtnje, namijenjenog za asinkroni stroj napajan iz izmjenjivača s utisnutim naponom, čijim se sklopkama upravlja vektorskom modulacijom. U programskom paketu PLECS izrađene su simulacije navedenog sustava upravljanja, te se analizom rezultata dobivenih pri različitim dinamičkim stanjima pogona zaključilo da su postignute vrlo dobre dinamičke karakteristike sustava. Algoritam upravljanja zatim je implementiran na digitalni signalni procesor (DSP) serije Texas Instruments C2000 za upravljanje asinkronim strojem snage 186 W, korištenjem laboratorijskog sustava upravljanja i inkrementalnog optičkog enkodera. Pritom je algoritam realiziran u programu X2C u obliku blokova, a podešenja sklopovlja DSP-a izvršena su u programu Code Composer Studio. Testiranjem stroja na identičan način kao u simulacijama te mjerenjem pojedinih električnih i mehaničkih veličina, pokazalo se da se sustav upravljanja vrlo dobro ponaša i sa stvarnim strojem. Naposljetku, usporednom kritičkom analizom rezultata dobivenih eksperimentalno i simulacijama došlo se do zaključka da se rezultati vrlo dobro podudaraju, uz minimalna odstupanja. To je dokaz da je sustav upravljanja asinkronim strojem uspješno realiziran.This master thesis deals with the issues of induction machine vector control. Theoretical considerations include induction machine principles, its mathematical model, the vector control structures and the inverter switches control. The thesis focuses on the development of sensored direct rotor-flux oriented control of an induction machine, supplied by a voltage source inverter, whose switches are controlled by space vector modulation. Simulations of the above-mentioned control system were done in the PLECS software, and by analyzing the results obtained at different dynamics of the drive, it was concluded that very good dynamic characteristics of the system were achieved. The control algorithm was then implemented on the Texas Instruments C2000 series digital signal processor (DSP) for the control of 186 W induction machine, using a laboratory control system and an incremental optical encoder. The algorithm was developed in X2C software tools using programming blocks, and the DSP configuration was done in Code Composer Studio. By testing the machine in the same way as in simulations and measuring individual electric and mechanical variables, the control system proved to be very good even with the actual machine. Finally, a comparative critical analysis of experimental results and results obtained by simulations revealed that the results were very well matched, with minimal deviations. This is a proof that the induction machine control system has been successfully implemented
