Title :
Fuzzy phase locked loop for three-phase power converters
Author :
Beheshtaein, Siavash
Author_Institution :
Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran
Abstract :
This paper presents a new structure for a phase locked loop (PLL) that operates based on a fuzzy logic controller. One commonly known fact is that phase jump may deteriorate phase locked loop performance. Accordingly, this paper specifically focuses on designing a fuzzy phase-locked loop (PLL) to track phase jumps in the least possible time. The fuzzy PLL attempts to track phase angle through outputs of the fuzzy logic controller, including angular frequency and phase angle compensation factors. To achieve the best possible performance, an adaptive fuzzy particle swarm optimization (AFPSO) algorithm is considered to optimize parameters of the fuzzy system. Two main advantages of this proposed structure is a) the very fast tracking of phase jumps and b) the ability to integrate the fuzzy PLL into other types of PLLs.
Keywords :
fuzzy control; particle swarm optimisation; phase locked loops; power convertors; adaptive fuzzy particle swarm optimization algorithm; angular frequency compensation factors; fuzzy logic controller; fuzzy phase locked loop; phase angle compensation factors; three-phase power converters; Birds; Frequency control; Fuzzy logic; Fuzzy systems; Particle swarm optimization; Phase locked loops; Voltage control; Fuzzy phase locked loop (fuzzy PLL); adaptive fuzzy particle swarm optimization (AFPSO); fuzzy logic controller (FLC); integral of time multiplied squared error (ITAE); phase jumps;
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
DOI :
10.1109/IECON.2013.6699235