Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/45943
Title: Sensorless SR drive for non linear and automotive control applications using fuzzy and ANN
Researcher: Palakeerthi, Ramesh
Guide(s): Subbaiah, P
Keywords: Motor drives Fuzzy logic Artificial Neural Networks Adaptive Neuro Fuzzy Interface System Switched Reluctance Motor
Upload Date: 5-Aug-2015
University: Dr. M.G.R. Educational and Research Institute
Completed Date: 12/03/2015
Abstract: This thesis presents a sensorless controlled lowcost low power variable speed drive system suitable for automotive applications Switched Reluctance Motor is attractive to researchers because of the increased reliability robustness and cost reduction compared to conventional drives Sensorless drive is particularly useful in automotive control applications where the environment is too hostile for physical position sensors such as inside an electric vehchiles The main advantages of this drive system are the Stucture of converter is simple but robust sensorless control technique and system cost is low The drive motor is a special This work presents a new method to estimate the motor positions during startup or at and#64258;ying restart A position sensorless scheme is described which uses fuzzy modeling estimation and prediction An important feature is that saturation and real time nonideal effects are not ignored but that no mathematical model is required Instead a fuzzy logic based model is constructed from both static and real time motor data and from this model the rotor position is estimated Artificial Neural networks have established to be useful in approximating nonlinear systems and in many applications including automotive control previously NNs advocated in switched reluctancemotor control have a large number of neurons in the hiddenlayer This has impeded the in real time implementation with DSPs particularly at high rotational speeds because of the large number of operations required by the ANN controller within a sampling interval One of the ideal applications of NNs in SRM control is in rotor position estimation using only current or voltage signals The non linear control of the fast scale period doubling bifurcation in the SRM drive by the alteration of the Saltation matrix component of the Monodromy matrix is discussed Three stabilization options based on Saltation matrix manipulation were explored and the results of the control action confirmed the effectiveness of these stabilization techniques The system also incorporates Nuero Fuzzy based methods to provide a high robustness It is shown that by using ANFIS the estimation scheme offers a high robustness and reliability and is thus well suited to a wide range of control applications The algorithm is and#64257;rst simulated through MATLAB SIMULINK and then tested The Experimental veriand#64257;cation of this motor drive system is provided to demonstrate the viability of the proposed approach for the development of robustness reliability and low cost motor drives
URI: http://hdl.handle.net/10603/45943
Appears in Departments:Department Of Electrical and Electronics Engineering

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06_chapter2.pdf191.06 kBAdobe PDFView/Open
07_chapter3.pdf874.54 kBAdobe PDFView/Open
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09_chapter5.pdf560.65 kBAdobe PDFView/Open
10_chapter6.pdf1.6 MBAdobe PDFView/Open
11_chapter7.pdf86.17 kBAdobe PDFView/Open
12_references.pdf257.41 kBAdobe PDFView/Open
13_publications.pdf156.94 kBAdobe PDFView/Open


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