Abstract
Neural control technique is well-suited to the problem of controlling dynamic system. A kind of CMAC controller for flight simulator servo system RBF identifier-based is presented. The controller consists of the RBF identifier, the single neuron PID controller and the CMAC feedforward controller. The RBF neural network is used to identify the model of the plant and adjust the single neuron PID controller’s parameter. The suitable parameter of the controller is given as fast as possible by used searching. This method could shorten transient response time clearly. The simulation experiment has proved the method can improve control precision and the response rapidness.
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References
Mese, E.: A rotor position estimator for switched reluctance motors using CMAC[J]. Energy Conversion and Management 44, 1229–1245 (2003)
Gang, S., Zengqiang, C., Zhuzhi, Y.: The theory and application of CMAC[J]. Yi Qi Yi Biao Xue Bao 24(S4), 269–273 (2003.8)
Rudenko, O.G., Bessonov, A.A.: CMAC neural network and its use in problems of identification and control of nonlinear dynamic objects[J]. Cybernetics and Systems Analysis 41(5), 647–5816 (2005)
Xie, Z., Liang, D., Cheng, Z., Wen, H.: Research on Control System of Linear PM Brushless DC Motor Based on Single Neuron PID[C], Electrical Machines and Systems. In: ICEMS 2005, Proceedings of the Eighth International Conference on, September 27-29, 2005, vol. 1, pp. 385–387 (2005)
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Weihong, W., Lei, Y. (2007). Dynamic Control of a Simulator Servo System Using CMAC Controller RBF Identifier-Based. In: Park, JW., Kim, T.G., Kim, YB. (eds) AsiaSim 2007. AsiaSim 2007. Communications in Computer and Information Science, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77600-0_3
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DOI: https://doi.org/10.1007/978-3-540-77600-0_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77599-7
Online ISBN: 978-3-540-77600-0
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