Fuzzy Adaptive Control Design of Induction Motor Speed Sensorless Based on MRAS
Sheng Ou, Haishan Liu, Qun Peng, Shiyang Qi, Cong Feng, Pinlong Mo, Guoying Liu
Current Journal of Applied Science and Technology · pp. 1–8 · Published 24 Sep 2015
10.9734/BJAST/2016/19893Abstract
In order to solve the real-time parameter adjustment problem of the speed sensorless vector control system for the induction motor, the paper presents a fuzzy self-adaptive method with intelligent gain adjustment. By the means of the sensorless vector control for induction motor, adapt Model reference adaptive system (MRAS) to achieve the rotor position estimation to improve the speed and estimated accuracy, and then design the out-loop controller to achieve high response of speed control. So applying the method of the fuzzy self-adaptive parameter adjustment, track and correct controller parameters in time to achieve high dynamic response. The simulation results confirm the validity and effectiveness of the proposed control strategy.
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