Design and Implementation of a Takagi-Sugeno Fuzzy Speed Regulator for a Permanent Magnet Synchronous Motor

نویسندگان

  • Han Ho Choi
  • Nga Thi-Tuy Vu
  • Jin-Woo Jung
چکیده

Fuzzy Control Systems With Reduced Parametric Sensitivity Based on Simulated Annealing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .R.-E. Precup, R.-C. David, E. M. Petriu, S. Preitl, and M.-B. Rădac 3049 Study of Reliable Control Via an Integral-Type Sliding Mode Control Scheme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y.-W. Liang, L.-W. Ting, and L.-G. Lin 3062 Design and Implementation of a TakagiYSugeno Fuzzy Speed Regulator for a Permanent Magnet Synchronous Motor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .H. H. Choi, N. T.-T. Vu, and J.-W. Jung 3069 Robust Cascaded Nonlinear Predictive Control of a Permanent Magnet Synchronous Motor With Antiwindup Compensator . . . . . . . . . . . . . . . . . . . . . . . . . R. Errouissi, M. Ouhrouche, W.-H. Chen, and A. M. Trzynadlowski 3078 Model Predictive Control of Unknown Nonlinear Dynamical Systems Based on Recurrent Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Pan and J. Wang 3089 AIS-Based Coordinated and Adaptive Control of Generator Excitation Systems for an Electric Ship . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C. Yan, G. K. Venayagamoorthy, and K. Corzine 3102 A Multilevel Fuzzy Control Design for a Class of Multiinput Single-Output Systems . . . . . . . . .C. Xu and Y. C. Shin 3113 A Novel Robust Decentralized Adaptive Fuzzy Control for Swarm Formation of Multiagent Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . B. Ranjbar-Sahraei, F. Shabaninia, A. Nemati, and S.-D. Stan 3124 Enriched Indoor Map Construction Based on Multisensor Fusion Approach for Intelligent Service Robot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. C. Luo and C. C. Lai 3135 Different-Level Redundancy-Resolution and Its Equivalent Relationship Analysis for Robot Manipulators Using Gradient-Descent and Zhang et al.’s Neural-Dynamic Methods . . . . . . . . . . . . . . . . . . . . . . . B. Cai and Y. Zhang 3146 The Detection and Following of Human Legs Through Inductive Approaches for a Mobile Robot With a Single Laser Range Finder . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . W. Chung, H. Kim, Y. Yoo, C.-B. Moon, and J. Park 3156 A PLS-Based Statistical Approach for Fault Detection and Isolation of Robotic Manipulators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. Muradore and P. Fiorini 3167 Novel Method for the Modeling and Control Investigation of Efficient Swimming for Robotic Fish . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . L. Wen, T. Wang, G. Wu, J. Liang, and C. Wang 3176 Trajectory Planning and Second-Order Sliding Mode Motion/Interaction Control for Robot Manipulators in Unknown Environments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . L. M. Capisani and A. Ferrara 3189 Body Definition Based on Visuomotor Correlation . . . . . . . . . . . . . . . . . . . . . R. Saegusa, G. Metta, and G. Sandini 3199 A Bioinspired Neurodynamics-Based Approach to Tracking Control of Mobile Robots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. X. Yang, A. Zhu, G. Yuan, and M. Q.-H. Meng 3211

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Takagi–Sugeno fuzzy speed controller design for a permanent magnet synchronous motor

Based on Takagi–Sugeno (T–S) fuzzy approach we design a fuzzy speed control system for a permanent magnet synchronous motor (PMSM). We derive sufficient conditions for the existence of a T–S fuzzy speed regulator and acceleration observer in terms of linear matrix inequalities (LMIs). We parameterize the gain matrices using the LMI conditions. We implement the proposed T–S fuzzy speed control s...

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عنوان ژورنال:
  • IEEE Trans. Industrial Electronics

دوره 59  شماره 

صفحات  -

تاریخ انتشار 2012