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Linear Speed Control for Multi-Machine system Using Fuzzy-Sliding Mode

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In this contribution, a control scheme based on multi input multi output Fuzzy Sliding Mode control (MIMOFSMC) for linear speed regulation of multi-motors system is proposed. Once the decoupled model of the multi- motors system is obtained, a smooth control function with a threshold was chosen to indicate how far the state from to the sliding surface is. However, the magnitude of this control function depends closely on the upper bound of uncertainties, and this generates chattering. So, this magnitude has to be chosen with great care to obtain high performances. Usually the upper bound of uncertainties is difficult to known before motor operation, so, a Fuzzy Sliding Mode controller is investigated to solve this difficulty; a simple Fuzzy inference mechanism is used to reduce the chattering phenomenon by simple adjustments. A simulation study is carried out and shows that the proposed controller has great potential for use as an alternative to the conventional sliding mode contro.
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  • Laboratory of command Analysis and Optimization of the Electro-Energizing Systems, Faculty of Sciences and technology, BECHAR University B.P. 417 BECHAR, 08000 ALGERIA, bouchiba_bousmaha@yahoo.fr
Bibliografia
  • 1. Christian Thiffault Pierre Sicard Alain Bouscayrol, “Tension Control Loop Using A Linear Actuator Based On The Energetic Macroscopic Representation”, CCECE 2004–CCGEI 2004, Niagara Falls, May 2004.
  • 2. S. Charlemagne, A. Bouscayrol, Slama Belkhodja, J.P. Hautier, “Flatness based control of non-linear textile multimachine process”. In: Proc. of EPE’03, CD-ROM, Toulouse (France), September 2003.
  • 3. Adlane Benlatreche Dominique Knittel “State Feedback Control with Full or Partial Integral Action for Large Scale Winding Systems”. In: Industry Applications Conference, Oct. 2005, vol. 2, pp. 973-978.
  • 4. Hanène Medhaffar, Nabil Derbel ,Tarak Damak “A decoupled fuzzy indirect adaptive sliding mode controller with application to robot manipulator”, Int. J. Modelling, Identification and Control, vol. 1, no. 1, 2006.
  • 5. Shaocheng Tong and Han-Xiong Li “Fuzzy Adaptive Sliding-Mode Control for MIMO Nonlinear Systems”, IEEE Transactions on Fuzzy Systems, vol. 11, no. 3, June 2003, pp. 354-360.
  • 6. Chung-Chun Kung, Kuo-Ho Su and Lun-Ping Hung “Adaptive Fuzzy Total Sliding-Mode Controller Design and Its Application to Tension Control of a Winding process”. In: 2006 IEEE International Conference on Systems, Man, and Cybernetics, 8th –11th October, 2006, Taipei, Taiwan, pp. 3659-3664.
  • 7. Rahmi Guclu “Sliding mode and PID control of a structural system against earthquake”, Mathematical and Computer Modeling, vol. 44, issues 1–2, 2006, pp. 210-217.
  • 8. Hakan Koç, Dominique Knittel, Michel de Mathelin, and Gabriel Abba, “Modeling and Robust Control of Winding Systems for Elastic Webs”, IEEE Transactions on Control Systems Technology, vol. 10, no. 2, March 2002, pp. 197-208.
  • 9. H. Koc, “Modélisation et commande robuste d’un system d’entrainement de bande flexible”, Ph.D. thesis, Université Louis Pasteur (Strasbourg I University), 2000.
  • 10. Zhongze Chen Changhong Shan Huiling Zhu “Adaptive Fuzzy Sliding Mode Control Algorithm for a Non-Affine Nonlinear System ”, IEEE Transactions on Energy Conversion, vol. 19, issue 2, 2004 , pp. 362-368.
  • 11. Yujie Zhao, Qingli Wang, Jinxue Xu, Chengyuan Wang, ”A Fuzzy Sliding Mode Control Based on Model Reference Adaptive Control for Permanent Magnet Synchronous Linear Motor”. In: 2nd IEEE Conference on Industrial Electronics and Applications– ICIEA 2007, pp. 980-984.
  • 12.Chien-An Chen, Huann-Keng Chiang, Chih-Huang Tseng, “The Novel Fuzzy Sliding Mode Control of Synchronous Reluctance Motor”. In: 8th International Conference on Intelligent Systems Design and Applications – ISDA’08, vol. 1, 2008, pp. 576-581.
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Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ8-0012-0001
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