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Information Technology Journal
  Year: 2011 | Volume: 10 | Issue: 7 | Page No.: 1351-1358
DOI: 10.3923/itj.2011.1351.1358
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Fuzzy Sliding-Mode Control for Induction Motors with Robust H Performance

Zhang Xizheng, Wang Yaonan and Yang Minsheng

This study presented an H Fuzzy Variable Structure Control (HFVSC) design for Induction Motor (IM) to solve speed tracking problem. First, the T-S modelling method was adopted to simulate the nonlinear dynamic of IM. In order to transform the tracking control into the stabilization problem, a set of new internal desired states was defined to construct a new control. Then, the HFVSC controller for uncertain IM driving system was proposed based on the fuzzy model and the feedback gains were determined in terms of linear matrix inequalities. The resulted closed-loop system was proved that the state trajectories can across into the specified sliding surface in finite time and the H performance can be obtained. Simulation results verify the correctness and feasibility of the proposed scheme.
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  •    Robust Feedback linearization and Observation Approach for Control of an Induction Motor
  •    Fuzzy Controller Design of Servo System
  •    Adaptative Variable Structure Control for an Online Tuning Direct Vector Controlled Induction Motor Drives
  •    Sensorless Control of Induction Machines using a Reduced Order Extended Kalman Filter for Rotor Time Constant and Flux Estimation
How to cite this article:

Zhang Xizheng, Wang Yaonan and Yang Minsheng, 2011. Fuzzy Sliding-Mode Control for Induction Motors with Robust H Performance. Information Technology Journal, 10: 1351-1358.

DOI: 10.3923/itj.2011.1351.1358






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