Adaptive Vector Control of Induction Motor based on a Fuzzy Self-Tuning IP Speed Controller

被引：0
|
作者：
Zerikat, Mokhtar [1 ]
Mechernene, Abdelkader [2 ]
Chekhroun, Sofyane [3 ]
机构：
[1] Polytech Natl Sch Oran, Dept Elect Engn, BP 1523 El Mnaouer, Oran 31000, Algeria
[2] Univ Abou Bekr Belkaid Tlemcen, Fac Technol, Dept Elect & Elect Engn, BP 230 Chetouane, Tilimsen 13000, Algeria
[3] Univ Mascara, Dept Automat, BP 305,Route El Mamounia, Mascara 29000, Algeria
来源：
2016 5TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC) | 2016年
关键词：
Induction motor; Indirect Rotor Field Orientation; Fuzzy logic; Adaptive Control; Parametric variations;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper a design, hardware implementation and experimental result of adaptive speed control for IRFOC induction motor drive is presented. Controllers with constant parameters are often insufficient for controlling complex systems, as the induction motor drive systems, that are subject to the large variations of the rotor resistance and to the various load torques during their normal operating cycles. More sophisticated controllers are required, such Self-Tuning Controllers, which in presence of variations of motor parameters, are able to change their features to maintain the desired behavior. The aim of the proposed approach is to design a new Fuzzy Self-Tuning IP Speed Controller, where the controller coefficients are adjusted continuously by a fuzzy inference system. The validity of this method and its effectiveness are proved by means of experimental tests with a 1.5 kW induction motor.
引用
收藏
页码：97 / 102
页数：6
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