Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive
Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive作者机构:School of Engineering Gautam Buddha University Greater Noida201310 India Electrical Engineering Department National Institute of Technology Delhi Delhi 110077 India
出 版 物:《Frontiers in Energy》 (能源前沿(英文版))
年 卷 期:2014年第8卷第1期
页 面:81-89页
核心收录:
学科分类:080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
主 题:induction motor drive fuzzy logic (FL)control model reference adaptive system (MILAS) photo-voltaic (PV) array vector control
摘 要:In this paper a fuzzy logic (FL) based model reference adaptive system (MRAS) speed observer for high performance AC drives is proposed. The error vector computation is made based on the rotor-flux derived from the reference and the adaptive model of the induction motor. The error signal is processed in the proposed fuzzy logic controller (FLC) for speed adaptation. The drive employs an indirect vector control scheme for achieving a good closed loop speed control. For powering the drive system, a standalone photovoltaic (PV) energy source is used. To extract the maximum power from the PV source, a constant voltage controller (CVC) is also proposed. The complete drive system is modeled in MATLAB/Simulink and the performance is analyzed for different operating conditions.