Abstract
The Active-disturbance rejection control (ADRC) has the advantage of strong robustness, anti-interference capability, and it does not rely on the accurate math model of controlled plant. But the parameter self-turning of ADRC isn’t as easy as PID controller because there are more parameters to turn in ADRC. In this paper the parameters are self-turning by the Radial Basis Function (RBF) Neural Network. The results of the simulation indicate that the controller has good anti-interference capability and fast response. The robustness of the system is improved.
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Liu, B., Gao, Y. (2011). Parameters Turning of the Active-Disturbance Rejection Controller Based on RBF Neural Network. In: Li, D., Liu, Y., Chen, Y. (eds) Computer and Computing Technologies in Agriculture IV. CCTA 2010. IFIP Advances in Information and Communication Technology, vol 347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18369-0_30
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DOI: https://doi.org/10.1007/978-3-642-18369-0_30
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