Abstract
Aiming at the nonlinear ness and high performance requirements of high-voltage power supply of ECRH, a new intelligent control strategy is presented based on the concept of inverse model control using Cerebellar Model Articulation Controller (CMAC) neuron network. The experiments results show that this control method can control the power with faster response, much lower overshoot and much shorter settling time than usual way and thus the superiority is proved. This paper may be helpful to solve the difficulty in control of complicated power system with strict requirements and the promotion the application of intelligent control.
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References
Pronko, S.G.E., Delaware, S.: The Performance of 8.4MW Modulator/Regulator Power System for the Electron Cyclotron Heating Upgrade at DIII-D. In: The 14th Topical Meeting on the Technology of Fusion Energy (2000)
Nerem, A., Kellman, D.H., Pronko, S.C.: Circuit Modeling and Feedback Controller Development of the 8.4MW Modulator/Regular Power System for the Electron Cyclotron Heating Facility Upgrade at D III-D. In: The 14th Topical Meeting on the Technology of Fusion Energy (2000)
Du, S.W., Ding, T.H., Xu, N.: Study of Control Performance on Negative High-Voltage Pulse Power Supply. Nuclear Fusion and Plasma Physics 23, 181–185 (2003)
Ding, T.H., Du, S.W.: The High Voltage Power Supply System of ECRH for HU-7. In: Power Modulator Symposium 2002 and 2002 High-Voltage Workshop Conference Record of the Twenty-Fifth International, pp. 595–598 (2002)
Li, X., Jing, J.P.: CMAC Neural Network Based Learning Control of the CSTR System. Control and Decision 7, 131–136 (1992)
Fan, X.M., Zhang, L., Cai, X.H., Wang, G.D.: Hot Strip Coiling Temperature Control Based on CMAC Network. Journal of Northeastern University 20, 662–664 (2000)
Jiang, Z.M., Lin, T.Q., Huang, X.X.: A New Self-Learning Controller Based in CMAC Neural Network. Acta Automatica Sinica 26, 542–546 (2000)
Ma, G.J., Qi, D.L.: Direct Inverse Model Control of Hybrid System Based on CMAC Neural Network. Proceedings of the EPSA 16, 69–71 (2004)
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Du, P., Luo, X. (2010). A New Intelligent Control Strategy of High-Voltage Power Supply for ECRH Based on CMAC Neural Network. In: Huang, DS., McGinnity, M., Heutte, L., Zhang, XP. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Communications in Computer and Information Science, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14831-6_2
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DOI: https://doi.org/10.1007/978-3-642-14831-6_2
Publisher Name: Springer, Berlin, Heidelberg
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