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The computation of speed in sensorless AC drive has gained much importance over the last few years. The main focus lies in evaluating the accurate value of speed for vector-controlled drives thereby making the use of an encoder at the machine shaft obsolete. Considered to be most simple of its kind, the model-based approach utilizes the linear time invariant and nonlinear time variant systems for speed estimation. In the proposed work two fuzzy controllers are adopted. One fuzzy-based adaptation scheme in the nonlinear feedback is used for obtaining proper speed estimate. In a vector-controlled induction motor, the problem that perseveres even after the evaluation of speed is the harmonics generated due to switching action which decreases the overall efficiency of the drive system. For an improved performance of the drive control system, a second fuzzy-based control is supplemented along with the PI Controller in the outer speed control loop. The significant feature of this work is the implementation of an intuitive fuzzy logic-based learning approach which is fast and effective. The type-1 fuzzy logic-based controller is designed which is less computationally intensive. An artificial intelligence-based machine model scheme which utilizes two fuzzy controllers (Dual Fuzzy) offers most satisfactory performance reducing the Total Harmonic Distortion (THD) to a great extent.
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- Nonlinear Speed Estimator and Fuzzy Control for Sensorless IM Drive
J. Mohana Lakshmi
H. N. Suresh
Varsha K. S. Pai
- Springer Singapore
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