Robust Model Reference Adaptive Intelligent Control
作者： Raghupathy Prakash , Rajapalan Anita
DOI: 10.1007/S12555-012-0219-6
关键词:
摘要: In this paper a Neural Network based Model Reference Adaptive Control scheme (NNMRAC) is proposed. scheme, the controller designed by using parallel combination of conventional (MRAC) and (NN) controller. MRAC to realize plant output converging reference model on which linear. This used control linear effectively with unknown parameters. However, it difficult for nonlinear system in real time applications. order overcome above limitations, NN-MRAC proposed improve performances. The input given sum NN output. compensate nonlinearities disturbances that are not taken into consideration MRAC. simulation results clearly show have better steady state transient performances than those current adaptive schemes. Thus, named as Robust Intelligent (RMRAIC) found be extremely effective, efficient useful field system.
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