DocumentCode :
2043766
Title :
Fuzzy logic controller for permanent magnet synchronous machines
Author :
Litcanu, Marcela ; Andea, Petru ; Mihai, Frigura-Iliasa Flaviu
Author_Institution :
Fac. of Electr. & Power Eng., Politeh. Univ. Timisoara, Timisoara, Romania
fYear :
2015
fDate :
22-24 Jan. 2015
Firstpage :
261
Lastpage :
265
Abstract :
The fuzzy logic controller, FLC, it is part of the control with artificial intelligence (AI), and implies obtaining of improved signal wave forms at output and reduction of oscillations (such as output speed variation, torque variation, current variation for the three phases) comparatively with the classic control. This paper presents two cases of FLC for exterior permanent magnet synchronous machines, PMSM, (Ld=Lq), with 25 rules and with 49 rules. The FLC is developed to have less computational burden, which makes it suitable for real time implementation. The dynamic performances of permanent magnet synchronous machines opens new possibilities of large scale application of PMSM which has a high torque density, with low losses/torque ratio, high power factor and quick torque and speed response. For the real time implementation we have made reference to the digital signal processor controller board DS1104.
Keywords :
angular velocity control; control engineering computing; digital signal processing chips; electric current control; electric machine analysis computing; fuzzy control; machine control; permanent magnet machines; synchronous machines; torque control; DS1104 digital signal processor controller board; FLC; PMSM; artificial intelligence; current variation; exterior permanent magnet synchronous machines; fuzzy logic controller; high power factor; high torque density; low losses; low torque ratio; oscillation reduction; output speed variation; quick speed response; quick torque response; signal waveform improvement; torque variation; Fuzzy control; Fuzzy logic; Niobium; Pragmatics; Process control; Regulators; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2015 IEEE 13th International Symposium on
Conference_Location :
Herl´any
Type :
conf
DOI :
10.1109/SAMI.2015.7061887
Filename :
7061887
Link To Document :
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