Original scientific paper

Fuzzy Adaptive Control of an Induction Motor Drive

Mohamed Rachid Chekkouri
Jordi Català i López
Emiliano Aldabas Rubira
Luis Romeral Martínez

Abstract

Industrial applications increasingly require electric drives with good position command tracking and load regulation responses. These conditions can only be achieved by adaptive-type control because of the loading conditions, inertias and system parameters all change during the motion. For this paper an Adaptive Speed Controller for AC drives with a very low computational algorithm was developed. The authors propose self-tuning control based on a supervisory fuzzy adaptation. The supervisor continuously monitors the status of the system and changes the Ki parameter of a standard PDF controller to adapt it to the plant’s evolution. The fuzzy logic adaptive strategy was readily implemented and showed very fast learning features and very good tracking and regulation characteristics. The stability of the controller developed was also analysed, and experimental results demonstrated the robustness of the suggested algorithm in contending with varying load and torque disturbance.

Keywords

adaptive control; adjustable speed drives; fuzzy logic; motion control; variable speed drives

Hrčak ID:

6770

URI

https://hrcak.srce.hr/6770

Publication date:

29.12.2003.

Article data in other languages: croatian

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