TY - JOUR
T1 - Maximum power tracking control for current power system based on fuzzy-PID controller
AU - Mao, Zhaoyong
AU - Huang, Weichao
AU - Yang, Chenguang
AU - Cui, Rongxin
AU - Sharma, Sanjay
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - In order to solve the problem of maximum energy capture in the dynamic changing current, the maximum power point tracking (MPPT) control strategy of an extensible vertical-axis blade current power generation system was developed. Consider the current speed with the characteristics of randomness and uncertainties. Affixed set of PID parameters can hardly achieve desired generator speed. Therefore, this paper presents a Fuzzy-PID control, which combines the characteristics of traditional PID and fuzzy control. The simulation results show that the Fuzzy-PID control is able to guarantee desired dynamic characteristics, such as fast response, robustness and stability, and is able to effectively track the maximum power point.
AB - In order to solve the problem of maximum energy capture in the dynamic changing current, the maximum power point tracking (MPPT) control strategy of an extensible vertical-axis blade current power generation system was developed. Consider the current speed with the characteristics of randomness and uncertainties. Affixed set of PID parameters can hardly achieve desired generator speed. Therefore, this paper presents a Fuzzy-PID control, which combines the characteristics of traditional PID and fuzzy control. The simulation results show that the Fuzzy-PID control is able to guarantee desired dynamic characteristics, such as fast response, robustness and stability, and is able to effectively track the maximum power point.
KW - Extensible vertical-axis blade
KW - Fuzzy-PID control
KW - Maximum power tracking
UR - http://www.scopus.com/inward/record.url?scp=84985029787&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-22879-2_7
DO - 10.1007/978-3-319-22879-2_7
M3 - 会议文章
AN - SCOPUS:84985029787
SN - 0302-9743
VL - 9244
SP - 69
EP - 80
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 8th International Conference on Intelligent Robotics and Applications, ICIRA 2015
Y2 - 24 August 2015 through 27 August 2015
ER -