DESIGN OF A FUZZY LOGIC CONTROLLER USING ANFIS FOR ACCURATE POSITION CONTROL OF A PNEUMATIC SERVO SYSTEM

被引：0

作者：

Dhami, S. S. ^{[1
]}

Bhasin, S. S. ^{[1
]}

Mahapatra, P. B. ^{[1
]}

机构：

[1] Natl Inst Tech Teachers Training & Res, Dept Mech Engn, Chandigarh, India

来源：

IMECE 2008: PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, VOL 5 | 2009年

关键词：

ACTUATOR; FORCE;

D O I：

暂无

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A methodology for designing a Sugeno type Fuzzy Logic Controller (FLC) for accurate position control of a pneumatic servo system is presented. Adaptive Neuro Fuzzy Inference System technique is employed to construct a fuzzy inference system whose membership function parameters are tuned using a training data set comprising of input/output signal of the pneumatic servo system with proportional control. Hybrid backpropogation-least square algorithm is used for training of the Fuzzy Inference System (FIS). The resulting FIS optimally projected the behavior of training data set. To obtain the desired steady-state response, the fuzzy inference system is further tuned using the expert knowledge of the input/output response of the system. The system response for various reference inputs is compared quantitatively with that of the system without fuzzy logic controller, and excellent improvement in steady-state response is observed.

引用

页码：89 / 97

页数：9

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