Abstract
Fuzzy adaptive robust control algorithm was proposed for a class of uncertain nonlinear systems based on Lyapunov’s stability theory. The system was divided into nominal model and lumped disturbance term which embodies modeling error, parameter uncertainties, disturbances and unmodeled dynamics. Fuzzy adaptive control was adopted to approach uncertain parameters of the system in real time; the impact of external disturbances was eliminated by robust control. The on-line calculation amount of fuzzy logic system is relatively less, the dynamic performance of system is better, and the output of system tracks the expectation well. The stability was proved and the algorithm was applied to the precipitation control of sucrose-glucose mixed solution. Simulation result supported the validity of the proposed algorithm.
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Duan, H., Wang, F., Peng, S. (2012). Precipitation Control for Mixed Solution Based on Fuzzy Adaptive Robust Algorithm. In: Huang, DS., Gupta, P., Zhang, X., Premaratne, P. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2012. Communications in Computer and Information Science, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31837-5_5
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DOI: https://doi.org/10.1007/978-3-642-31837-5_5
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