Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Author: search.filters.author.Manjunatha Sharma, K.M.Subject: search.filters.subject.Robust control

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    Performance analysis of robust and nonlinear MPPT controllers for autonomous wind power system
    (Institute of Electrical and Electronics Engineers Inc., 2017) Gudimindla, G.; Manjunatha Sharma, K.M.
    This paper presents the performance analysis of nonlinear and robust control strategies for the maximum power extraction from permanent magnet synchronous generator (PMSG) based autonomous wind energy conversion system (WECS) under varying wind speed. The Nonlinear control strategy aims to achieve improvement in speed tracking performance by using feedback linearization method used to select the optimal control input by compensating nonlinearities in the WECS directly driven by PMSG. In order to design the Robust Quantitative Feedback Theory (QFT) based controller and multi model QFT controller for the WECS based on PMSG, the nonlinear system is represented by a series of linear time invariant transfer functions around different operating points. Robust controllers are designed for proper selection of optimal control input to extract maximum power for every wind speed. Performance analysis is done from the MATLAB simulation results among the controllers for the PMSG based WECS. Multi model QFT controller is recommended for their enhanced performance. © 2016 IEEE.
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    Performance analysis of automated quantitative feedback theory based robust controller for photovoltaic converter
    (Institute of Electrical and Electronics Engineers Inc., 2018) Gudimindla, H.; Manjunatha Sharma, K.M.
    Robust controller design for photovoltaicconverters (PVC) has received considerable critical attention due to solar panels operated under uncertain environmental circumstances. This paper presents automated loop-shaping based robust controller design for PVC voltage regulation with the aid of quantitative feedback theory (QFT) using Genetic algorithm. The step by step design guidelines for the automated QFT (AQFT) robust controller is deliberated in detail. The proposed AQFT controller exhibits decreasing modular plot, descending phase response and nearer to the universal bound to replicate the controller ideal characteristics. Finally, benchmarking of the proposed controller with affine parameterization design method available in the literature is performed through simulations. © 2018 IEEE.