Conference Papers

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    Fuzzy logic controlled microturbine generation system for distributed generation
    (Elsevier Ltd, 2012) Nayak, S.K.; Gaonkar, D.N.; Shivarudraswamy, R.
    The microturbine based Distributed Generation (DG) system are becoming the popular source of power industries due to their fuel flexibility, reliability and power quality. The microturbine generation (MTG) system is a complicated thermodynamic electromechanical system with a high speed of rotation, frequency conversion and its control strategy. In spite of several techniques to control high speed of microturbine is not accurate and reliable due to their anti-interference problem. To resolve the anti-interfacing problem, this paper investigates the fuzzy logic based speed governor for a MTG system as an alternative to nominal PI or lead-lag based controller. The development of fuzzy logic based speed governor includes input and output membership function with their respective members. The load variation on MTG system is performed using conventional and fuzzy logic controller, implemented in Matlab/simulink and results are compared with each other. The simulation result shows that, the performance improvement of fuzzy logic governor over a nominal governor based MTG system. © 2011 Published by Elsevier Ltd.
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    A fuzzy sectional real-time scheduling algorithm based on system load
    (Springer Verlag service@springer.de, 2013) Annappa, B.
    Earliest Deadline First (EDF) Algorithm is one of the most widely known dynamic real-time task scheduling algorithms. However, when a real-time system is overloaded, experiments and analysis have proved that EDF algorithm is ineffective. Considering the algorithm's instability during the practical task executing environment in an overloaded state, it is necessary to apply a few decision making techniques to ensure a good overall performance. In this paper, we propose a dynamic sectional real-time scheduling algorithm called Fuzzy Sectional Scheduling (FSS), which identifies the system load and employs suitable scheduling techniques to improve overall performance. The simulation results show that the Fuzzy Sectional Scheduling Algorithm could improve the real-time system performance to a considerably greater extent compared to the classical algorithms such as EDF, HVF (Highest Value First) and HDF (Highest Density First) algorithms; under all workload conditions. © 2013 Springer.
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    Fuzzy integrated sliding mode controller for vector controlled PMSM
    (Institute of Electrical and Electronics Engineers Inc., 2014) Hussain, S.; Abid Bazaz, M.A.
    A vector controlled drive based on hybrid fuzzy-sliding mode controller (FSMC) is presented in this paper for improving the dynamic performance of the PMSM drive. Sliding mode controller is a non-linear controller and hence is effective for parameter variations and disturbances. Different types of membership functions are studied for speed control to compensate for the chattering effect otherwise present with SMC. MATLAB Simulation of a 1.7Nm, 300Vdc, 3750rpm PMSM is presented in this paper and speed tracking using FSMC is achieved under different operating conditions. © 2014 IEEE.
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    Enhancement of load voltage compensation using positive sinusoidal sequence regulator in fuzzy logic controlled three phase series active filter
    (Institute of Electrical and Electronics Engineers Inc., 2018) Jayasankar, V.N.; Kumar, N.B.; Vinatha Urundady, U.
    This study proposes a controller for series active Alter for enhancement in load voltage compensation. The controller consists of a positive sinusoidal sequence regulator based fundamental voltage calculator, a closed loop fuzzy logic based voltage controller and a pulse width modulation controller. Positive sequence sinusoidal signal regulator effectively eliminates the phase delay introduced while calculating fundamental voltage. Numerical simulations are done for different cases to verify the effectiveness of controller under different system conditions. © 2017 IEEE.