Faculty Publications
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Item Design, characterization and control of MR damper for two-wheeler applications(Elsevier Ltd, 2022) Devikiran, P.; Shravya, P.; Puneet, N.P.; Kumar, H.The research on Automotive systems is always an ongoing process with varied advancements in different sectors. One such sector is suspension system and the recent trends in vehicular suspension has taken a turn towards semiactive suspension considering its salient features like cost effectiveness and low power consumption with variable damping force. This research work presents the design of radial flux Magneto Rheological damper (MRD) with magnetic field analyzed using the FEMM tool. The designed MR damper has fabricated and characterized for modelling the damper in order to simulate the quarter car model of two wheeler rear suspension. The entire simulation was carried out using MATLAB/SIMULINK. © 2022Item Modified Super Twisting algorithm based sliding mode control for LVRT enhancement of DFIG driven wind system(Elsevier Ltd, 2022) Hiremath, R.; Moger, T.The grid-connected Doubly Fed Induction Generator (DFIG) system is exposed to severe grid faults. The DFIG is sensitive to grid disturbances, which lead to consideration in the controller design. This paper proposed the Modified Super Twisting (MST) algorithm for the Low Voltage Ride Through (LVRT) enhancement under voltage sag condition. This proposed algorithm is implemented using the 2nd Order Sliding Mode (SOSM) to control the DFIG based wind generator. The higher-order switching functions are introduced in the SOSM for sliding surface control. Moreover, the Lyapunov analysis for the MST algorithm brings down the chattering amplitude. The advantages of the proposed algorithm are that it reduces the system uncertainties, chattering effect and improves the settling period of the system parameters. The performance of the proposed algorithm is compared with existing algorithms in the literature with the help of MATLAB/SIMULINK. The Hardware-In-Loop (HIL) is used to validate the simulation results, which have been performed on the OPAL-RT setup. In addition, the proposed algorithm is also tested on an equivalent model of the practical Wind Farm (WF). Based on the studies, it is found that the proposed algorithm enhanced the LVRT performance of the single Wind Turbine (WT)-DFIG system as well as the practical WF under transient conditions. © 2022 The AuthorsItem Control of Converter for a Solar PV-BESS Powered Telecom Load With Real, Reactive and Harmonic Power Exchange With Grid(Institute of Electrical and Electronics Engineers Inc., 2023) Sheeja, V.; Kalpana, R.; Subramaniam, U.; Almakhles, D.J.Due to safety considerations and the challenges involved in tracking the maximum output of series-connected cells, solar photovoltaic (PV) arrays are generally operated at lower voltage levels. A multiport converter can be used to interface telecom DC loads, typically rated at 48 V and powered by PV arrays and battery energy storage system (BESS). The grid integration of the system improves reliability while lowering the BESS rating. This work proposes a sliding mode control-based power flow management controller that maintains the load voltage of a telecom DC load, allows maximum power extraction from the PV module, and facilitates power sharing with AC grid. A voltage source converter and a high-gain bidirectional converter exchange power with the AC grid. A second-order generalized integral algorithm-based voltage source converter control is provided to inject/absorb active power, reactive power, and eliminate the harmonics of the telecom AC load. Detailed simulation studies employing MATLAB software are performed to validate the functionality of the converter as well as the power flow management control. Moreover, the system's performance is evaluated using a laboratory-developed experimental prototype. © 2013 IEEE.Item Novel reaching law based predictive sliding mode control for lateral motion control of in-wheel motor drive electric vehicle with delay estimation(John Wiley and Sons Inc, 2024) Chiliveri, V.R.; Kalpana, R.; Subramaniam, U.; Muhibbullah, M.; Padmavathi, L.The lateral motion control of an in-wheel motor drive electric vehicle (IWMD-EV) necessitates an accurate measurement of the vehicle states. However, these measured states are always affected by delays due to sensor measurements, communication latencies, and computation time, which results in the degradation of the controller performance. Motivated by this issue, a novel reaching law based predictive sliding mode control (NRL-PSMC) is proposed to maintain the lateral motion control of the IWMD-EV subjected to unknown time delay. Initially, a PSMC framework is built, in which a predictor integrating with the sliding mode control is designed to eliminate the effect of time delay and generate the virtual control signals. Further, to alleviate the chattering phenomenon, a novel-reaching law is developed, enabling the vehicle to track the desired states effectively. Subsequently, a dynamic control allocation technique is presented to optimally allocate the virtual control input to the actual control input. The accurate estimation of the aforementioned unknown delay is realized through a delay estimator. Finally, simulation and hardware-in-the-loop experiments are performed for three specific driving manoeuvres, and the results demonstrate the effectiveness of the proposed controller design. © 2023 The Authors. IET Intelligent Transport Systems published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.