Estimation of Disturbances by using Adaptive Fuzzy for SISO System
|International Journal of Electrical and Electronics Engineering|
|© 2018 by SSRG - IJEEE Journal|
|Volume 5 Issue 10|
|Year of Publication : 2018|
|Authors : Embeti Sangeetha and T.Manohar|
How to Cite?
Embeti Sangeetha and T.Manohar, "Estimation of Disturbances by using Adaptive Fuzzy for SISO System," SSRG International Journal of Electrical and Electronics Engineering, vol. 5, no. 10, pp. 12-16, 2018. Crossref, https://doi.org/10.14445/23488379/IJEEE-V5I10P104
Estimating disturbances /unknown inputs of a system based on adaptive fuzzy output is proposed for a original Adaptive Fuzzy observer for estimating the unknown and nearly periodic input LTI SISO discrete time system. It does not involve inverting the open loop system model, Therefore it can be applied to both minimum- phase and non-minimum phase systems.However, for this approach to be exact, the parallel compensator must have almost zero gain in the frequency range of the disturbance/unknown input. The effectiveness of the proposed observer design is assessed by a numerical example including model error and measurement noises, using Matlab/ Simulink software.
DOB/UIOB (disturbance/ unknown input observer), Adaptive Fuzzy systems, filtering.
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