Design and Implementation of a Feedback Linearization Controlled IM Drive via Simplified Neuro-Fuzzy Approach

REFERENCES

• J. J. E. Slotine and W. Li, Applied Nonlinear Control. Englewood Cliffs, NJ: Prentice Hall, 1991.
   Google Scholar
• B. K. Bose, Modern Power Electronics and AC Drives. New Delhi: Prentice Hall of India, 2008.
   Google Scholar
• F. Blaschke. (May 1972). “The principle of field orientation as applied to the new transvector closed-loop control system for rotating-field machines,” Siemens Rev. 39, pp. 217—220.
   Google Scholar
• G. S. Kim, I. J. Ha and M. S. Ko. (Aug. 1992). “Control of induction motors for both high dynamic performance and high power efficiency,” IEEE Trans. Ind. Electron. 39(4), pp. 323–333.
   Web of Science ®Google Scholar
• H. Kubota, K. Matsuse and T. Nakano. (March/April 1993). “DSP-based speed adaptive flux observer of induction motor,” IEEE Trans. Ind. Appl. 29(2), pp. 344–348.
   Web of Science ®Google Scholar
• A. Isidori, A. J. Krener, C. Gori-Giorgi and S. Monaco. (1981). “Nonlinear decoupling via feedback: A differential-geometric approach,” IEEE Trans. Automat. Contr., 26, pp. 331–345.
   Web of Science ®Google Scholar
• Z. Krezminski, “Nonlinear control of induction motor,” in Proc. 10th IFAC World Congress on Automatic Control, Vol. 3, Munich, Germany, Dec. 1987, pp. 349–354.
   Google Scholar
• B. Charlet, J. Levine and R. Marino, “Two sufficient conditions for dynamic feedback linearization of nonlinear systems,” in Analysis and Optimization of Systems. Lecture Notes in Control and Information Sciences, Vol. 111, A. Bensoussan, J.L. Lions, Eds. Berlin, Heidelberg: Springer, 1988.
   Google Scholar
• J. Chiasson. (Oct. 1993). “Dynamic feedback linearization of the induction motor,” IEEE Trans. Automat. Cont. 38, pp. 1588–1594.
   Web of Science ®Google Scholar
• J. Chiasson. (March 1998). “A new approach to dynamic feedback linearization control of an induction motor,” IEEE Trans. Automat. Contr. 43(3), pp. 391–397.
   Web of Science ®Google Scholar
• G. Luckjiff, I. Wallace and D. Divan, “Feedback linearization of current regulated induction motors,” in Proc. of the 32nd Annual IEEE PESC, Vancouver, BC, Canada, 2001, pp. 1173–1178.
   Google Scholar
• T. K. Boukas and T. G. Habetler. (July 2004). “High-performance induction motor speed control using exact feedback linearization with state and state derivative feedback,” IEEE Trans. Power Electron. 19(4), pp. 1022–1028.
   Web of Science ®Google Scholar
• K. J. Astrom and T. Hagglund, PID Controllers: Theory, Design, and Tuning, 2nd ed. Research Triangle Park, NC: Instrument Society of America, The International Society for Measurement and Control, 1995, pp. 166.
   Google Scholar
• P. Swarnkar, S. K. Jain and R. K. Nema. (Jan./Feb. 2014). “Adaptive control schemes for improving the control system dynamics: A review,” IETE Tech. Rev. 31(1), pp. 17–33.
   Web of Science ®Google Scholar
• S. A. Mir, D. S. Zinger and M. E. Elbuluk. (Jan./Feb. 1994). “Fuzzy controller for inverter fed induction machines,” IEEE Trans. Ind. Appl. 30(1), pp. 78–84.
   Web of Science ®Google Scholar
• S. D. Swain, P. K. Ray and K. B. Mohanty. (2016). “Improvement of power quality using a robust hybrid series active power filter,” IEEE Trans. Power Electron. (99), pp. 1–1.
   Google Scholar
• V. Utkin, J. Guldner and J. Shi, Sliding Mode Control in Electromechanical Systems. London: CRC Press, Taylor & Francis, 1999.
   Google Scholar
• C. Lascu, I. Boldea and F. Blaabjerg. (Aug. 2004). “Variable-structure direct torque control – a class of fast and robust controllers for induction machine drives,” IEEE Trans. Ind. Electron. 51(4), pp. 785–792.
   Web of Science ®Google Scholar
• F. J. Lin and R. J. Wai. (March 2002). “Robust control using neural network uncertainty observer for linear induction motor servo drive,” IEEE Trans. Power Electronics 17(2), pp. 241–254.
   Web of Science ®Google Scholar
• M. P. Kazmierkowski and D. Sobczuk, “Sliding mode feedback linearization of PWM inverter fed induction motor,” in Proc. IEEE IECON 1, Taipei, Taiwan, 1996, pp. 244–249.
   Google Scholar
• M. N. Uddin, M. A. Abido and M. A. Rahman. (Jan./Feb. 2004). “Development and implementation of a hybrid intelligent controller for interior permanent magnet synchronous motor drive,” IEEE Trans. Ind. Appl. 40(1), pp. 68–76.
   Web of Science ®Google Scholar
• C. T. Lin and C. S. G. Lee, Neural Fuzzy Systems: A Neuro–Fuzzy Synergism to Intelligent Systems. Englewood Cliffs, NJ: Prentice-Hall, 1996.
   Google Scholar
• G. W. Chang, G. Espinosa-Perez, E. Mendes and R. Ortega. (Jun. 2000). “Tuning rules for the PI gains of field-oriented controllers of induction motors,” IEEE Trans. Ind. Electron. 47(3), pp. 592–602.
   Web of Science ®Google Scholar
• A. Rubaai, J. Jerry and S. T. Smith. (Sep./Oct. 2011). “Performance evaluation of fuzzy switching position system controller for automation and process industry control,” IEEE Trans. Ind. Appl. 47(5), pp. 2274–2282.
   Web of Science ®Google Scholar
• M. N. Uddin and H. Wen. (Jul./Aug. 2007). “Development of a self-tuned neuro–fuzzy controller for induction motor drives,” IEEE Trans. Ind. Appl. 43(4), pp. 1108–1116.
   Web of Science ®Google Scholar
• M. N. Uddin and M. I. Chy. (May/June 2010). “A novel fuzzy logic controller based torque and flux controls of IPM synchronous motor,” IEEE Trans. Ind. Appl. 46(3), pp. 1220–1229.
   Web of Science ®Google Scholar
• Z. Zhang, R. Tang, B. Bai and D. Xie. (Aug. 2010). “Novel direct torque control based on space vector modulation with adaptive stator flux observer for induction motors,” IEEE Trans. Magnetics 46(8), pp. 3133–3136.
   Web of Science ®Google Scholar
• K. P. Venugopal, R. Sudhakar and A. S. Pandya. (Mar. 1995). “An improved scheme for direct adaptive control of dynamical systems using back propagation neural networks,” J. Circuits Syst. Signal Process 14(2), pp. 213–236.
   Web of Science ®Google Scholar
• P. Z. Grabowski, B. K. Bose and F. Blaabjerg. (Aug. 2000). “A simple direct torque neuro fuzzy control of PWM inverter fed induction motor drive,” IEEE Trans. Ind. Electron. 47(4), pp. 863–870.
   Web of Science ®Google Scholar
• J. S. R. Jang. (May/June 1993). “ANFIS: Adaptive-network-based fuzzy inference system,” IEEE Trans. Syst. Man Cybern. 23(3), pp. 665–685.
   Web of Science ®Google Scholar
• M. N. Uddin, Z. R. Huang and A. B. M. S. Hossain, (Jan./Feb. 2014). “Development and implementation of a simplified self-tuned neuro–fuzzy-based IM drive,” IEEE Trans. Ind. Appl. 50(1), pp. 51–59.
   Web of Science ®Google Scholar
• R. N. Mishra and K. B. Mohanty, “Performance Enhancement of a linearized induction motor drive using ANFIS based torque controller,” in Proc. 12th India Int. Conf. (INDICON-15), 2015, pp. 17–20.
   Google Scholar
• N. Venkataramana Naik and S. P. Singh. (Dec. 2015). “A comparative analytical performance of F2DTC and PIDTC of induction motor using DSPACE DS-1104,” IEEE Trans. Ind. Electron. 62(12), pp. 7350–7359.
   Web of Science ®Google Scholar
• X. Duan, H. Deng and H. Li. (Nov. 2013). “A Saturation-based tuning method for fuzzy PID controller,” IEEE Trans. Ind. Electron. 60(11), pp. 577–585.
   Web of Science ®Google Scholar
• G. Durgasukumar and M. K. Pathak. (2012). “Comparison of adaptive neuro-fuzzy based space vector modulation for two-level inverter,” Int. J. Electr. Power Energy Syst. 38(1), pp. 9–19.
   Web of Science ®Google Scholar
• N. Venkataramana Naik, J. Thankachan and S. P. Singh, (2016). “A neuro-fuzzy direct torque control using bus-clamped space vector modulation,” IETE Tech. Rev. 33(2), pp. 205–217.
   Web of Science ®Google Scholar
• T. Ramesh and A. K. Panda. (Jul. 2015). “Type-2 fuzzy logic control based MRAS speed estimator for speed sensorless direct torque and flux control of an induction motor drive,” ISA Trans. 57, pp. 262–275.
   PubMed Web of Science ®Google Scholar
• B. Dandil. (2009). “Fuzzy neural network IP controller for robust position control of induction motor drive,” Expert Syst. Appl. 36(3), pp. 4528–4534.
   Web of Science ®Google Scholar