Pneumatic motor speed control by trajectory tracking fuzzy logic controller

被引：1
|
作者：
Safak, Cengiz [1 ]
Topuz, Vedat [1 ]
Baba, A. Fevzi [1 ]
机构：
[1] Marmara Univ, Dept Elect & Comp Educ, TR-34046 Istanbul, Turkey
来源：
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES | 2010年 / 35卷 / 01期
关键词：
Pneumatic motor; fuzzy logic controller; trajectory tracking;
D O I：
10.1007/s12046-010-0007-z
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this study, trajectory tracking fuzzy logic controller (TTFLC) is proposed for the speed control of a pneumatic motor (PM). A third order trajectory is defined to determine the trajectory function that has to be tracked by the PM speed. Genetic algorithm (GA) is used to find the TTFLC boundary values of membership functions (MF) and weights of control rules. In addition, artificial neural networks (ANN) modelled dynamic behaviour of PM is given. This ANN model is used to find the optimal TTFLC parameters by offline GA approach. The experimental results show that designed TTFLC successfully enables the PM speed track the given trajectory under various working conditions. The proposed approach is superior to PID controller. It also provides simple and easy design procedure for the PM speed control problem.
引用
收藏
页码：75 / 86
页数：12
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