Applications of Various Fuzzy Sliding Mode Controllers in Induction Motor Drives

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Series: Electrical Engineering Developments
BISAC: TEC007000

The book Applications of Various Fuzzy Sliding Mode Controllers in Induction Motor Drives contains publications on various fuzzy sliding mode speed controllers (FSMCs) based on the boundary layer approaches in the area of an indirect field-oriented control (IFOC) for Induction Motor (IM) drive, which include development and implementation FSMCs and relatedfields. The publications within Application of Various Fuzzy Sliding Mode Controllers in Induction Motor Drive cover significant and recent developments of both foundational and applicable character in the field. With the exception of some basic notions in sliding mode control (SMC), field-oriented control (FOC), and fuzzy theory, the book is completely self-contained. Important concepts in FSMCs and its use in high performance IM are carefully motivated and introduced. Specifically, the authors have excluded any technical material that does not contribute directly to the understanding of SMC, FOC or fuzzy theory. Many other excellent textbooks are available today that discuss fuzzy, FOC and SMC in much more technical detail than that which is provided here.

This book is aimed at upper level undergraduate students as well as beginning graduate students who want to learn more about FSMCs in high performance IM drive, or who are pursuing research in FSMC and related areas. An important feature of the book is its short publication time and worldwide distribution. This permits a rapid and broad dissemination of research results. (Imprint: Nova)

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Table of Contents

Table of Contents

Preface

Chapter 1. Introduction

Chapter 2. Literature Review

Chapter 3. Novel Fuzzy Sliding-Mode Control for Chattering-Free and Robust Induction Motor Drive

Chapter 4. Novel Boundary Layer Fuzzy Control into Chattering-Free and Robust Induction Motor Drive

Chapter 5. Teaching of Simulation an Adjustable Speed Drive of High Performance Induction Motor Using Matlab/Simulink

Chapter 6. Real-Time Implementaion of High Performance Induction Motor Drive Using Digital Signal Processor Board TI TMS320F28335

Chapter 7. Conclusion and Suggestaion for Future Work

Appendices

Index

References

Chapter 1

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Chapter 2

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Chapter 3

[1] A. K. Chattopadhyay, “Advances in vector control ofac motor drives—A review,” Sadhana, vol. 22, pp. 797-820, 1997.
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[4] A. Saghafinia and H. W. Ping, “High performance induction motor drive using fuzzy self-tuning hybrid fuzzy controller,” in Power and Energy (PECon), 2010 IEEE International Conference on, 2010, pp. 468-473.
[5] A. Bartoszewicz and A. Nowacka-Leverton, “SMC without the reaching phase-the switching plane design for the third-order system,” Control Theory & Applications, IET, vol. 1, pp. 1461-1470, 2007.
[6] R. Shahnazi, H. M. Shanechi, and N. Pariz, “Position control of induction and DC servomotors: a novel adaptive fuzzy PI sliding mode control,” Energy Conversion, IEEE Transactions on, vol. 23, pp. 138-147, 2008.
[7] Z. Jinhui, S. Peng, and X. Yuanqing, “Robust Adaptive Sliding-Mode Control for Fuzzy Systems with Mismatched Uncertainties,” Fuzzy Systems, IEEE Transactions on, vol. 18, pp. 700-711, 2010.
[8] A. Saghafina, H. W. Ping, M. N. Uddin, and K. S. Gaied, “Adaptive fuzzy sliding-mode control into chattering-free induction motor drive,” in Industry Applications Society Annual Meeting (IAS), 2012 IEEE, 2012, pp. 1-8.
[9] T. Orowska-Kowalska, M. Kaminski, and K. Szabat, “Implementation of a Sliding-Mode Controller with an Integral Function and Fuzzy Gain Value for the Electrical Drive With an Elastic Joint,” Industrial Electronics, IEEE Transactions on, vol. 57, pp. 1309-1317, 2010.
[10] N. B. Cheng, L. W. Guan, L. P. Wang, and J. Han, “Chattering Reduction of Sliding Mode Control by Adopting Nonlinear Saturation Function,” Advanced Materials Research, vol. 143, pp. 53-61, 2011.
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[21] W. Rong-Jong and S. Kuo-Ho, “Adaptive enhanced fuzzy sliding-mode control for electrical servo drive,” Industrial Electronics, IEEE Transactions on, vol. 53, pp. 569-580, 2006.
[22] N. Yagiz, Y. Hacioglu, and Y. Taskin, “Fuzzy sliding-mode control of active suspensions,” Industrial Electronics, IEEE Transactions on, vol. 55, pp. 3883-3890, 2008.
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[25] A. Saghafinia, H. W. Ping, and M. N. Uddin, “Fuzzy sliding mode control based on boundary layer theory for chattering-free and robust induction motor drive,” The International Journal of Advanced Manufacturing Technology, vol. 71, pp. 57-68, 2014.
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[27] M. Ertugrul, A. Sabanovic, and K. Ohnishi, “A generalized approach for Lyapunov design of sliding mode controllers for motion control applications,” pp. 407-412 vol. 1.
[28] A. Saghafinia, H. W. Ping, M. N. Uddin, and A. Amindoust, “Teaching of Simulation an Adjustable Speed Drive of Induction Motor Using MATLAB/Simulink in Advanced Electrical Machine Laboratory,” Procedia-Social and Behavioral Sciences, vol. 103, pp. 912-921, 2013.

Chapter 4

[1] A. Saghafinia, H. W. Ping, and M. Rahman, “High performance induction motor drive using hybrid fuzzy-pi and pi controllers: A review,” International Review of Electrical Engineering-Iree, vol. 5, pp. 2000-2012, 2010.
[2] A. Saghafinia and H. W. Ping, “High performance induction motor drive using fuzzy self-tuning hybrid fuzzy controller,” in Power and Energy (PECon), 2010 IEEE International Conference on, 2010, pp. 468-473.
[3] A. Saghafinia, S. Kahourzade, A. Mahmoudi, W. Hew, and M. N. Uddin, “Broken Rotor Bar Fault Detection of 3-Phase Induction Motor Using Online Adaptive Continuous Wavelet Transform and Fuzzy Logic,” International Review of Electrical Engineering-IREE, vol. 7, pp. 4383-4394, 2012.
[4] A. Saghafinia, S. Kahourzade, A. Mahmoudi, W. P. Hew, and M. N. Uddin, “On line trained fuzzy logic and adaptive continuous wavelet transform based high precision fault detection of IM with broken rotor bars,” in Industry Applications Society Annual Meeting (IAS), 2012 IEEE, 2012, pp. 1-8.
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[6] T. Orlowska-Kowalska, M. Dybkowski, and K. Szabat, “Adaptive Sliding-Mode Neuro-Fuzzy Control of the Two-Mass Induction Motor Drive Without Mechanical Sensors,” Industrial Electronics, IEEE Transactions on, vol. 57, pp. 553-564, 2010.
[7] L. Viet Quoc, C. Han Ho, and J. Jin-Woo, “Fuzzy Sliding Mode Speed Controller for PM Synchronous Motors With a Load Torque Observer,” Power Electronics, IEEE Transactions on, vol. 27, pp. 1530-1539, 2012.
[8] Z. H. Salih, K. S. Gaeid, and A. Saghafinia, “Sliding Mode Control of Induction Motor with Vector Control in Field Weakening,” Modern Applied Science, vol. 9, p. p276, 2015.
[9] A. Saghafinia, H. W. Ping, and M. N. Uddin, “Fuzzy sliding mode control based on boundary layer theory for chattering-free and robust induction motor drive,” The International Journal of Advanced Manufacturing Technology, vol. 71, pp. 57-68, 2014.
[10] Z. Jinhui, S. Peng, and X. Yuanqing, “Robust Adaptive Sliding-Mode Control for Fuzzy Systems With Mismatched Uncertainties,” Fuzzy Systems, IEEE Transactions on, vol. 18, pp. 700-711, 2010.
[11] C. Lascu, I. Boldea, and F. Blaabjerg, “A Class of Speed-Sensorless Sliding-Mode Observers for High-Performance Induction Motor Drives,” Industrial Electronics, IEEE Transactions on, vol. 56, pp. 3394-3403, 2009.
[12] N. B. Cheng, L. W. Guan, L. P. Wang, and J. Han, “Chattering Reduction of Sliding Mode Control by Adopting Nonlinear Saturation Function,” Advanced Materials Research, vol. 143, pp. 53-61, 2011.
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[17] Y. K. Kim and G. J. Jeon, “Error reduction of sliding mode control using sigmoid-type nonlinear interpolation in the boundary layer,” International Journal of Control, and Systems, vol. 2, pp. 523-529, 2004.
[18] T. Orowska-Kowalska, M. Kaminski, and K. Szabat, “Implementation of a Sliding-Mode Controller With an Integral Function and Fuzzy Gain Value for the Electrical Drive With an Elastic Joint,” Industrial Electronics, IEEE Transactions on, vol. 57, pp. 1309-1317, 2010.
[19] H. Lee, E. Kim, H. J. Kang, and M. Park, “A new sliding-mode control with fuzzy boundary layer,” Fuzzy Sets and Systems, vol. 120, pp. 135-143, 2001.
[20] M. Roopaei, M. Zolghadri, and S. Meshksar, “Enhanced adaptive fuzzy sliding mode control for uncertain nonlinear systems,” Communications in Nonlinear Science and Numerical Simulation, vol. 14, pp. 3670-3681, 2009.
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Chapter 5

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[4] A. Saghafinia, H. Ping, and M. Uddin, “Designing Self-Tuning Mechanism On Hybrid Fuzzy Controller For High Performance And Robust Induction Motor Drive,” the International Journal of Advanced Technology & Engineering Research, vol. 3, 2013.
[5] A. Saghafinia and H. W. Ping, “High performance induction motor drive using fuzzy self-tuning hybrid fuzzy controller,” in Power and Energy (PECon), 2010 IEEE International Conference on, 2010, pp. 468-473.
[6] A. Saghafinia, H. W. Ping, M. N. Uddin, and K. S. Gaeid, “Adaptive Fuzzy Sliding-Mode Control Into Chattering-Free IM Drive,” Industry Applications, IEEE Transactions on, vol. 51, pp. 692-701, 2015.
[7] L. Qaseer, S. Purushothaman, and F. de Leon, “Closed-Form Analysis of Squirrel-Cage Induction Motors With Anisotropic Modeling of Stator and Rotor,” Energy Conversion, IEEE Transactions on, vol. PP, pp. 1-8, 2012.
[8] A. Saghafinia, S. Kahourzade, A. Mahmoudi, W. Hew, and M. N. Uddin, “Broken Rotor Bar Fault Detection of 3-Phase Induction Motor Using Online Adaptive Continuous Wavelet Transform and Fuzzy Logic,” International Review of Electrical Engineering-Iree, vol. 7, pp. 4383-4394, 2012.
[9] A. Saghafinia, S. Kahourzade, A. Mahmoudi, W. P. Hew, and M. N. Uddin, “On line trained fuzzy logic and adaptive continuous wavelet transform based high precision fault detection of IM with broken rotor bars, in Industry Applications Society Annual Meeting (IAS), 2012 IEEE, 2012, pp. 1-8.
[10] A. Saghafina, H. W. Ping, M. N. Uddin, and K. S. Gaied, “Adaptive fuzzy sliding-mode control into chattering-free induction motor drive,” in Industry Applications Society Annual Meeting (IAS), 2012 IEEE, 2012, pp. 1-8.
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“Sensored Field Oriented Control of 3-Phase Induction Motors,” 2010.

Chapter 6

[1] A. Saghafinia, H. W. Ping, and M. A. Rahman, “High Performance Induction Motor Drive Using Hybrid Fuzzy-PI and PI Controllers: a Review,” International Review of Electrical Engineering-Iree, vol. 5, pp. 2000-2012, Sep-Oct 2010.
[2] Z. H. Salih, K. S. Gaeid, and A. Saghafinia, “Sliding Mode Control of Induction Motor with Vector Control in Field Weakening,” Modern Applied Science, vol. 9, p. p276, 2015.
[3] A. Saghafinia and H. W. Ping, “High performance induction motor drive using fuzzy self-tuning hybrid fuzzy controller,” in Power and Energy (PECon), 2010 IEEE International Conference on, 2010, pp. 468-473.
[4] L. Qaseer, S. Purushothaman, and F. de Leon, “Closed-Form Analysis of Squirrel-Cage Induction Motors With Anisotropic Modeling of Stator and Rotor,” Energy Conversion, IEEE Transactions on, vol. PP, pp. 1-8, 2012.
[5] A. Saghafinia, S. Kahourzade, A. Mahmoudi, W. P. Hew, and M. N. Uddin, “On line trained fuzzy logic and adaptive continuous wavelet transform based high precision fault detection of IM with broken rotor bars,” in Industry Applications Society Annual Meeting (IAS), 2012 IEEE, 2012, pp. 1-8.
[6] A. Saghafinia, S. Kahourzade, A. Mahmoudi, W. Hew, and M. N. Uddin, “Broken Rotor Bar Fault Detection of 3-Phase Induction Motor Using Online Adaptive Continuous Wavelet Transform and Fuzzy Logic,” International Review of Electrical Engineering-iree, vol. 7, pp. 4383-4394, 2012.
[7] U. Bakshi and V. Bakshi, Electrical Circuits and Machines: Technical Publications, 2009.
[8] A. Saghafinia, H. W. Ping, and M. N. Uddin, “Fuzzy sliding mode control based on boundary layer theory for chattering-free and robust induction motor drive,” The International Journal of Advanced Manufacturing Technology, vol. 71, pp. 57-68, 2014.
[9] A. Saghafinia, H. Ping, and M. Uddin, “Designing Self-Tuning Mechanism on Hybrid Fuzzy Controller for High Performance and Robust Induction Motor Drive,” the International Journal of Advanced Technology & Engineering Research, vol. 3, 2013.
[10] A. Abbondanti, Method of flux control in induction motors driven by variable frequency, variable voltage supplies, 1977, pp. 177–184.
[11] A. Amindoust, S. Ahmed, and A. Saghafinia, “Supplier Selection and Quota Allocation Decisions Under Uncertainty: Review and Future Research Directions.”
[12] A. Saghafina, H. W. Ping, M. N. Uddin, and K. S. Gaied, “Adaptive fuzzy sliding-mode control into chattering-free induction motor drive,” in Industry Applications Society Annual Meeting (IAS), 2012 IEEE, 2012, pp. 1-8.
[13] W. S. Gan, Y. K. Chong, W. Gong, and W. T. Tan, “Rapid prototyping system for teaching real-time digital signal processing,” Education, IEEE Transactions on, vol. 43, pp. 19-24, 2000.
[14] A. Saghafinia, H. W. Ping, M. N. Uddin, and K. S. Gaeid, “Adaptive Fuzzy Sliding-Mode Control Into Chattering-Free IM Drive,” Industry Applications, IEEE Transactions on, vol. 51, pp. 692-701, 2015.
[15] A. Saghafinia, H. W. Ping, and M. N. Uddin, “Sensored field oriented control of a robust induction motor drive using a novel boundary layer fuzzy controller,” Sensors, vol. 13, pp. 17025-17056, 2013.
[16] W. Grega, K. Kolek, and A. Turnau, Rapid prototyping environment for real-time control education, 1998, pp. 85-92.
[17] P. Menghal and A. J. Laxmi, Real time control of electrical machine drives: A review, 2010, pp. 1-6.

Chapter 7

[1] A. Saghafinia, H. W. Ping, and M. N. Uddin, “Fuzzy sliding mode control based on boundary layer theory for chattering-free and robust induction motor drive,” The International Journal of Advanced Manufacturing Technology, vol. 71, pp. 57-68, 2014.
[2] A. Saghafinia, H. W. Ping, and M. N. Uddin, “Sensored field oriented control of a robust induction motor drive using a novel boundary layer fuzzy controller,” Sensors, vol. 13, pp. 17025-17056, 2013.
[3] T. Orowska-Kowalska, M. Kaminski, and K. Szabat, “Implementation of a Sliding-Mode Controller With an Integral Function and Fuzzy Gain Value for the Electrical Drive With an Elastic Joint,” Industrial Electronics, IEEE Transactions on, vol. 57, pp. 1309-1317, 2010.
[4] L. Viet Quoc, C. Han Ho, and J. Jin-Woo, “Fuzzy Sliding Mode Speed Controller for PM Synchronous Motors With a Load Torque Observer,” Power Electronics, IEEE Transactions on, vol. 27, pp. 1530-1539, 2012.
[5] H. Lee, E. Kim, H. J. Kang, and M. Park, “A new sliding-mode control with fuzzy boundary layer,” Fuzzy Sets and Systems, vol. 120, pp. 135-143, 2001.
[6] Y. K. Kim and G. J. Jeon, “Error reduction of sliding mode control using sigmoid-type nonlinear interpolation in the boundary layer,” International Journal of Control, and Systems, vol. 2, pp. 523-529, 2004.

This book is aimed at upper level undergraduate as well as beginning graduate students who want to learn more about FSMCs in high performance IM drive or who are pursuing research in FSMC and related areas. An important feature of the book is its short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.

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