Maximum power tracking control for current power system based on fuzzy-PID controller

Zhaoyong Mao; Weichao Huang; Chenguang Yang; Rongxin Cui; Sanjay Sharma

doi:10.1007/978-3-319-22879-2_7

Maximum power tracking control for current power system based on fuzzy-PID controller

Zhaoyong Mao
, Weichao Huang
, Chenguang Yang
, Rongxin Cui
, Sanjay Sharma

Northwestern Polytechnical University Xian
University of Plymouth
South China University of Technology

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	69-80
Number of pages	12
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9244
DOIs	https://doi.org/10.1007/978-3-319-22879-2_7
State	Published - 2015
Event	8th International Conference on Intelligent Robotics and Applications, ICIRA 2015 - Portsmouth, United Kingdom Duration: 24 Aug 2015 → 27 Aug 2015

Keywords

Extensible vertical-axis blade
Fuzzy-PID control
Maximum power tracking

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10.1007/978-3-319-22879-2_7

Cite this

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title = "Maximum power tracking control for current power system based on fuzzy-PID controller",

abstract = "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.",

keywords = "Extensible vertical-axis blade, Fuzzy-PID control, Maximum power tracking",

author = "Zhaoyong Mao and Weichao Huang and Chenguang Yang and Rongxin Cui and Sanjay Sharma",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 8th International Conference on Intelligent Robotics and Applications, ICIRA 2015 ; Conference date: 24-08-2015 Through 27-08-2015",

year = "2015",

doi = "10.1007/978-3-319-22879-2\_7",

language = "英语",

volume = "9244",

pages = "69--80",

journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

issn = "0302-9743",

publisher = "Springer Science and Business Media Deutschland GmbH",

}

Maximum power tracking control for current power system based on fuzzy-PID controller. / Mao, Zhaoyong; Huang, Weichao; Yang, Chenguang et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 9244, 2015, p. 69-80.

Research output: Contribution to journal › Conference article › peer-review

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 - https://www.scopus.com/pages/publications/84985029787

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 -

Maximum power tracking control for current power system based on fuzzy-PID controller

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Keywords

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