Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering

Study on Control Strategies of Adjustable Blade Angle Control System

Authors
Xiaotao Yu, Zhipeng Li, Jian Ding
Corresponding Author
Xiaotao Yu
Available Online February 2016.
DOI
10.2991/iccsae-15.2016.84How to use a DOI?
Keywords
angle control; self-adapting; fuzzy control; MATLAB simulation
Abstract

In this article, a type of adjustable blade angle control system was designed. The main role of the system was to achieve the function which made the blade angle follow with the change of the signal input. The article indicated the working principle of the adjustable blade angle control system combined with the relative math model. Aiming to the control target, a self-adapting fuzzy PID controller was designed. Mtalab7.0 was applied to carry out simulation and analysis on the cases that the step signals and sine signals were added to the controller, and it was validated that the self-adapting fuzzy PID controller had a good quality of dynamical characteristics, static characteristics and robust characteristics.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
Series
Advances in Computer Science Research
Publication Date
February 2016
ISBN
10.2991/iccsae-15.2016.84
ISSN
2352-538X
DOI
10.2991/iccsae-15.2016.84How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaotao Yu
AU  - Zhipeng Li
AU  - Jian Ding
PY  - 2016/02
DA  - 2016/02
TI  - Study on Control Strategies of Adjustable Blade Angle Control System
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 442
EP  - 451
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.84
DO  - 10.2991/iccsae-15.2016.84
ID  - Yu2016/02
ER  -