參考文獻 |
[1] D. M. Rote and Y. Cai, “Review of dynamic stability of repulsive-force maglev suspension systems,” IEEE Trans. Magnetics, vol. 38, no. 2, pp. 1383-1390, Mar. 2002.
[2] M. Ono, S. Koga, and H. Ohtsuki, “Japan’s superconducting Maglev train,” IEEE Instrumentation & Measurement Magazine, vol. 5, no. 1, pp. 9-15, Mar. 2002.
[3] M. Y. Chen, M. J. Wang, and C. L. Fu, “A novel dual-axis repulsive maglev guiding system with permanent magnet: modeling and controller design,” IEEE Trans. Mechatronics, vol. 8, no. 1, pp. 77-86, Mar. 2003.
[4] H. M. Gutierrez and P. I. Ro, “Magnetic servo levitation by siding-mode control of nonaffine systems with algebraic input invertibility,” IEEE Trans. Ind. Electron., vol. 52, no. 5, pp. 1449-1455, Oct. 2005.
[5] J. H. Park and Y. S. Baek, “Design and analysis of a maglev planar transportation vehicle,” IEEE Trans. Magn., vol. 44, no. 7, pp. 1830-1836, Jul. 2008.
[6] C. Samiappan, N. Mirnateghi, B. E. Paden, and J. F. Antaki, “Maglev apparatus for power minimization and control of artificial hearts,” IEEE Trans. Contr. Syst. Technol., vol. 16, no. 1, pp. 13-18, Jan. 2008.
[7] G. Schweitzer, H. Bleuler, and A. Traxler, Active Magnetic Bearings: Basics, Properties, and Applications of Active Magnetic Bearings. Zurich, Switzerland: vdf Hochschulverlag, 1994.
[8] A. T. A. Peijnenburg, J. P. M. Vermeulen, and J. v. Eijk, “Magnetic levitation systems compared to conventional bearing systems,” Micro Electronic Engineering, vol. 83, pp. 1372-1375, 2006.
[9] H. Stoelting, E. Kallenbach, and W. Eberhard, Handbook of Fractional-Horsepower Drives. Springer Berlin Heidelberg, 2008.
[10] G. Schweitzer and E. H. Maslen, Magnetic Bearings - Theory, Design and Application to Rotating Machinery. Springer-Verlag, 2009.
[11] E. A. Knoth and J. P. Barber, “Magnetic repulsion bearings for turbine engines,” IEEE Trans. Magn., vol. 24, no. 6, pp. 3141-3143, Nov. 1998.
[12] M. A. Pichot, J. P. Kajs, B. R. Murphy, A. Ouroua, B. M. Rech, R. J. Hayes, J. H. Beno, G. D. Buckner, and A. B. Palazzolo, “Active magnetic bearings for energy storage systems for combat vehicles,” IEEE Trans. Magn., vol. 37, no. 1, pp. 318-323, Jan. 2001.
[13] M. D. Noh, S. R. Cho, J. H. Kyung, S. K. Ro, and J. K. Park, “Design and implementation of a fault-tolerant magnetic bearing system for turbo-molecular vacuum pump,” IEEE Trans. Mechatronics, vol. 10, no. 6, pp. 626-631, Dec. 2005.
[14] N. Miyamoto, T. Enomoto, M. Amada, J. Asama, A. Chiba, T. Fukao, S. Iwasaki, and M. Takemoto, “Suspension characteristics measurement of a bearingless motor ” IEEE Trans. Magn., vol. 45, no. 6, pp. 2795-2798, June 2009.
[15] T. Ohji, S. Ichiyama, K. Amei, M. Sakui, and S. Yamada, “Conveyance test by oscillation and rotation to a permanent magnet repulsive-type conveyor,” IEEE Trans. Magn., vol. 40, no. 4, pp. 3057-3059, Jul. 2004.
[16] R. L. Fittro, A high speed machining spindle with active magnetic bearings: control theory, design, and application. Doctoral dissertation, University of Virginia, 1998.
[17] O. S. Kim, S. H. Lee, and D. C. Han, “Positioning performance and straightness error compensation of the magnetic levitation stage supported by the linear magnetic bearing,” IEEE Trans. Ind. Electron., vol. 50, no. 2, pp. 374-378, Apr. 2003.
[18] J. H. Lee, P. E. Allaire, G. Tao, J. A. Decker, and X. Zhang, “Experimental study of sliding mode control for a benchmark magnetic bearing system and artificial heart pump suspension,” IEEE Trans. Control Syst. Technol., vol. 11, no. 1, pp. 128-138, Jan. 2003.
[19] A. A. Hussien, S. Yamada, M. Iwahara, T. Okada, and T. Ohji, “Application of the repulsive-type magnetic bearing for manufacturing micromass measurement balance equipment,” IEEE Trans. Magn., vol. 41, no. 10, pp. 3802-3804, Oct. 2005.
[20] M. N. Sahinkaya and A. E. Hartavi, “Variable bias current in magnetic bearings for energy optimization,” IEEE Trans. Magn., vol. 43, no. 3, pp. 1052-1060, Mar. 2007.
[21] Y. C. Chen and C. C. Teng, “A model reference control structure using a fuzzy neural network,” Fuzzy Sets and Systems, vol. 73, pp. 291-312, 1995.
[22] J. T. Jeng and T. T. Lee, “Control of magnetic bearing systems via the Chebyshev polynomial-based unified model (CPBUM) neural network,” IEEE Trans. Sys., Man, Cybern. B, Cybernetics, vol. 30, no. 1, pp. 85-92, Feb. 2000.
[23] F. J. Lin, R. J. Wai, and C. M. Hong, “Recurrent neural network control for LCC-resonant ultrasonic motor drive,” IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 47, no. 3, pp. 737-749, May 2000.
[24] K. W. E. Cheng, H. Y. Wang, and D. Sutanto, “Adaptive directive neural network control for three-phase AC/DC PWM converter,” IEE Proc. Electric Power Applications, vol. 148, no. 5, pp. 425-430, Sept. 2001.
[25] F. J. Lin, H. J. Shieh, P. H. Shieh, and P. H. Shen, “An adaptive recurrent-neural-network motion controller for x–y table in CNC machine,” IEEE Trans. Sys., Man, Cybern. B, Cybernetics, vol. 36, no. 2, pp. 286-299, Apr. 2006.
[26] F. J. Lin, L. T. Teng, and H. Chu, “Modified Elman neural network controller with improved particle swarm optimisation for linear synchronous motor drive,” IET Electr. Power Appl., vol. 2, no. 3, pp. 201-214, 2008.
[27] R. J. Wai and C. M. Liu, “Design of dynamic Petri recurrent fuzzy neural network and its application to path-tracking control of nonholonomic mobile robot,” IEEE Trans. Ind. Electron., vol. 56, no. 7, pp. 2667-2683 July 2009.
[28] F. J. Lin, Y. C. Hung, and S. Y. Chen, “FPGA-based computed force control system using Elman neural network for linear ultrasonic motor,” IEEE Trans. Ind. Electron., vol. 56, no. 4, pp. 1238-1253, April 2009.
[29] Z. Li, “Robust control of PM spherical stepper motor based on neural networks,” IEEE Trans. Ind. Electron., vol. 56, no. 8, pp. 2945-2954, Aug. 2009.
[30] L. Ma and K. Khorasani, “Constructive feedforward neural networks using hermite polynomial activation functions,” IEEE Trans. Neural Networks, vol. 16, no. 4, pp. 821-833, July 2005.
[31] L. Rutkowski, “Adaptive probabilistic neural networks for pattern classification in time-varying environment,” IEEE Trans. Neural Networks, vol. 15, no. 4, pp. 811-827, July 2004.
[32] C. Pan, W. Chen, and Y. Yun, “Fault diagnostic method of power transformers based on hybrid genetic algorithm evolving wavelet neural network ” IET Electr. Power Appl., vol. 2, no. 1, pp. 71-76, 2008.
[33] S. H. Ling, H. H. C. Iu, F. H. F. Leung, and K. Y. Chan, “Improved hybrid particle swarm optimized wavelet neural network for modeling the development of fluid dispensing for electronic packaging,” IEEE Trans. Ind. Electron., vol. 55, no. 9, pp. 3447-3460, Sept. 2008.
[34] H. Deng, R. Oruganti, and D. Srinivasan, “Neural controller for UPS inverters based on B-spline network,” IEEE Trans. Ind. Electron., vol. 55, no. 2, pp. 899-909, Feb. 2008.
[35] T. H. Linh, S. Osowski, and M. Stodolski, “On-line heart beat recognition using Hermite polynomials and neuro-fuzzy network,” IEEE Trans. Instrumentation and Measurement, vol. 52, no. 4, pp. 1224-1231, Aug. 2003.
[36] A. I. Rasiah, R. Togneri, and Y. Attikiouzel, "Modeling 1-d signals using hermite basis functions," in Proc. Inst. Elect Eng. Vis. Image Signal Process, 1997, pp. 345-354
[37] J. Crowe, PID Control: New Identification and Design Methods. London, U.K.: Springer-Verlag, 2005.
[38] T. Yamamoto, K. Takao, and T. Yamada, “Design of a data-driven PID controller,” IEEE Trans. Control Syst. Technol., vol. 17, no. 1, pp. 29-39, Jan. 2009.
[39] K. K. Tan, S. Huang, and R. Ferdous, “Robust self-tuning PID controller for nonlinear systems,” J. Process Contr., vol. 12, no. 7, pp. 753-761, Oct. 2002.
[40] S. Parvez and Z. Gao, “A wavelet-based multiresolution PID controller,” IEEE Trans. Industry Applications, vol. 41, no. 2, pp. 537-543, Mar./Apr. 2005.
[41] V. Parra-Vega, S. Arimoto, Y. H. Liu, G. Hirzinger, and P. Akella, “Dynamic sliding PID control for tracking of robot manipulators: theory and experiments,” IEEE Trans Robot. Automat., vol. 19, no. 6, pp. 967-976, Dec. 2003.
[42] T. J. Ren and T. C. Chen, “Motion control for a two-wheeled vehicle using a self-tuning PID controller,” Control Engineering Practice, vol. 16, no. 3, pp. 365-375, Mar. 2008.
[43] S. Cong and Y. Liang, “PID-like neural network nonlinear adaptive control for uncertain multivariable motion control systems,” IEEE Trans. Ind. Electron., vol. 56, no. 10, pp. 3872-3879, Oct. 2009.
[44] J. J. E. Slotine and W. Li, Applied Nonlinear Control. Englewood Cliffs, NJ: Prentice-Hall, 1991.
[45] F. Esfandiari and H. K. Khalil, “Stability analysis of a continuous implementation of variable structure control,” IEEE Trans. Automatic Control, vol. 36, no. 5, pp. 616-620, May 1991.
[46] S. N. Huang, K. K. Tan, and T. H. Lee, “Sliding-mode monitoring and control of linear drives ” IEEE Trans. Ind. Electron., vol. 56, no. 9, pp. 3532-3540, Sept. 2009.
[47] X. Yu and O. Kaynak, “Sliding-mode control with soft computing: a survey,” IEEE Trans. Ind. Electron., vol. 56, no. 9, pp. 3275-3285, Sept. 2009.
[48] J. P. Su and C. C. Wang, “Complementary sliding control of non-linear systems,” Int. J. Control, vol. 75, no. 5, pp. 360-368, 2002.
[49] C. Y. Liang and J. P. Su, “A new approach to the design of a fuzzy sliding mode controller,” Fuzzy Sets and Systems, vol. 139, pp. 111-124, 2003.
[50] M. Zhihong and X. H. Yu, “Terminal sliding mode control of MOMO linear systems,” IEEE Trans. Circuits Syst. I, Fundam. Theory Appl., vol. 44, no. 11, pp. 1065-1070, Nov. 1997.
[51] S. Yua, X. Yub, B. Shirinzadehc, and Z. Mand, “Continuous finite-time control for robotic manipulators with terminal sliding mode,” Automatica, vol. 41, pp. 1957-1964, 2005.
[52] Y. Feng, X. Yu, and Z. Man, “Non-singular terminal sliding mode control of rigid manipulators,” Automatica, vol. 38, pp. 2159-2167, 2002.
[53] C. K. Lin, “Nonsingular terminal sliding mode control of robot manipulators using fuzzy wavelet networks,” IEEE Trans. Fuzzy Sys., vol. 14, no. 6, pp. 849-859, Dec. 2006.
[54] C. W. Tao, J. S. Taur, and M. L. Chan, “Adaptive fuzzy terminal sliding mode controller for linear systems with mismatched time-varying uncertainties,” IEEE Trans. Sys., Man, Cybern. B, Cybernetics, vol. 34, no. 1, pp. 255-262, Feb. 2004.
[55] S. H. Lee, J. B. Park, and Y. H. Choi, "Terminal sliding mode control of nonlinear chaotic systems using self-recurrent wavelet neural network," in Proc. Int. Conf. on Control, Automation and Systems, Seoul, Korea, 2007, pp. 1671-1676
[56] S. C. Tan, Y. M. Lai, and C. K. Tse, “Indirect sliding mode control of power converters via double integral sliding surface,” IEEE Trans. Power Electronics, vol. 23, no. 2, pp. 600-611, Mar. 2008.
[57] M. Defoort, T. Floquet, W. Perruquetti, and S. V. Drakunov, “Integral sliding mode control of an extended Heisenberg system,” IET Control Theory Appl., vol. 3, no. 10, pp. 1409-1424, 2009.
[58] S. L. Chen, S. H. Chen, and S. T. Yan, “Experimental validation of a current-controlled three-pole magnetic rotor-bearing system,” IEEE Trans. Magn., vol. 41, no. 1, pp. 99-112, Jan. 2005.
[59] T. Minihan, “Large motion tracking control for thrust magnetic bearings with fuzzy logic, sliding mode, and direct linearization,” J. Sound Vib., vol. 263, pp. 549-567, 2003.
[60] T. J. Yeh, Y. J. Chung, and W. C. Wu, “Sliding control of magnetic bearing systems,” Journal of Dynamic Systems, Measurement, and Control, vol. 123, pp. 353-362, 2001.
[61] J. Y. Hung, N. G. Albritton, and F. Xia, “Nonlinear control of a magnetic bearing system,” Mechatronics, vol. 13, pp. 621-637, 2003.
[62] N. C. Tsai, C. H. Kuo, and R. M. Lee, “Regulation on radial position deviation for vertical AMB systems,” Mechanical Systems and Signal Processing, vol. 21, pp. 2777-2793, 2007.
[63] S. Sivrioglu, “Adaptive backstepping for switching control active magnetic bearing system with vibrating base,” IET Control Theory Appl., vol. 1, no. 4, pp. 1054-1059, 2007.
[64] L. Li and J. Mao, “Feedback linearisation of magnetic bearing actuators for a uniform upper bound of force slew rate,” IEE Proc. Electric Power Applications, vol. 146, no. 4, pp. 378-382, July 1999.
[65] L. C. Lin and T. B. Gau, “Feedback linearization and fuzzy control for conical magnetic bearings,” IEEE Trans. Contr. Syst. Technol., vol. 5, no. 4, pp. 417-426, Jul. 1997.
[66] M. S. Queiroz and D. M. Dawson, “Nonlinear control of active magnetic bearings: a backstepping approach,” IEEE Trans. Control Syst. Technol., vol. 4, no. 5, pp. 545–552, Sep. 1996.
[67] C. T. Hsu and S. L. Chen, “Exact linearization of a voltage-controlled 3-pole active magnetic bearing system,” IEEE Trans. Contr. Syst. Technol., vol. 10, no. 4, pp. 618-625, 2002.
[68] C. Bi, D. Wu, Q. Jiang, and Z. Liu, “Automatic learning control for unbalance compensation in active magnetic bearings,” IEEE Trans. Magn., vol. 41, no. 7, pp. 2270-2280, July 2005.
[69] B. Lu, H. Choi, G. D. Buckner, and K. Tammi, “Linear parameter-varying techniques for control of a magnetic bearing system,” Control Engineering Practice, vol. 16, no. 10, pp. 1161-1172, 2008.
[70] T. R. Grochmal and A. F. Lynch, “Experimental comparison of nonlinear tracking controllers for active magnetic bearings,” Control Engineering Practice, vol. 15, pp. 95-107, 2007.
[71] K. Y. Chen, P. C. Tung, M. T. Tsai, and Y. H. Fan, “A self-tuning fuzzy PID-type controller design for unbalance compensation in an active magnetic bearing,” Expert Systems with Applications, vol. 36, pp. 8560–8570, 2009.
[72] M. Liu, “Decentralized control of robot manipulators: nonlinear and adaptive approaches,” IEEE Trans. Automat. Contr., vol. 44, no. 2, pp. 357-363 1999.
[73] F. J. Lin and P. H. Chou, “Adaptive control of two-axis motion control system using interval type-2 fuzzy neural network,” IEEE Trans. Ind. Electron., vol. 56, no. 1, pp. 178-193, Jan. 2009.
|