T-S Fuzzy Modeling and Fuzzy Control Design for an AC Induction Motor-Driven Servo System
碩士 === 國立中興大學 === 機械工程學系 === 91 === This thesis considers the T-S fuzzy modeling and fuzzy control design for an ac induction motor-driven precision servo system. First, the RLS (recursive least squares) estimation algorithm is adopted for obtaining the optimal parameters of the T-S fuzzy...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2003
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| Online Access: | http://ndltd.ncl.edu.tw/handle/95984163790554177648 |
| Summary: | 碩士 === 國立中興大學 === 機械工程學系 === 91 === This thesis considers the T-S fuzzy modeling and fuzzy control design for an ac induction motor-driven precision servo system. First, the RLS (recursive least squares) estimation algorithm is adopted for obtaining the optimal parameters of the T-S fuzzy estimate model based on the acquired input/output data pairs. The friction characteristics are considered for constructing the structure of the fuzzy model. Since velocity is the most important variable, the plant is partitioned into several fuzzy operating regions in the velocity domain. Each region is built a local ARMA-like model with a bias term for incorporating the effect of friction.
For the control design, this thesis adopts the so-called Parallel Distributed Compensation (PDC) to design a fuzzy controller based on the identified T-S fuzzy model of the servo system. The Lyapunov stability theory and the Linear Matrix Inequality (LMI) method are adopted for synthesizing a globally stable fuzzy controller.
Finally, we use dSPACE DS1102 control board in the MATLAB/SIMULINK environment for the implementation study. Control results of the experiments validate the feasibility of the suggested T-S fuzzy modeling and control design approach.
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