Estimation of Disturbances by using Adaptive Fuzzy for SISO System
Embeti Sangeetha1, T.Manohar2
1E. Sangeetha, PG Student, Department of Electrical and Electronics Engineering, JNTUA College of Engineering Anantapur (Andhra Pradesh), India
2T. Manohar, Adhoc Lecturer, Department of Electrical and Electronics Engineering, JNTUA College of Engineering Anantapur (Andhra Pradesh), India
Manuscript received on 18 February 2019 | Revised Manuscript received on 27 February 2019 | Manuscript published on 28 February 2019 | PP: 41-44 | Volume-8 Issue-3, February 2019 | Retrieval Number: A5498108118/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The adaptive fuzzy output is proposed for an original observer to estimate unknown and periodic input of a LTI SISO discrete time system. An important advantage is it does not involve inverting the model of OLS, as a result it can be applicable to both MP and NMP systems. The exactness of the model needs zero gain of compensator. The effectiveness of the observer design is assessed by a numerical example including model error and measurement noises, using Matlab/ Simulink software.
Keywords: DOB/UIOB (Disturbance/ Unknown Input Observer), Adaptive Fuzzy Systems, Filtering.
Scope of the Article: Fuzzy Logics