Faculty Publications

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Author: search.filters.author.Gangadharan, K.V.Subject: search.filters.subject.Degrees of freedom (mechanics)

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    FPGA based vibration control of a mass varying two-degree of freedom system
    (Exeley Inc, 2011) Singh, M.P.; Tripathi, P.K.; Gangadharan, K.V.
    Controlling of vibration in any system is very challenging problem. In the present work design, fabrication and testing of a variable mass 2-DoF system was presented. The system has been designed to be used as tool to demonstrate the capability of mass variable tuned vibration damper for wide frequency application. All valves and pumps were controlled by a cRIO with onboard FPGA. cRIO with FPGA enable the designer to implement different control algorithms that can be used for real time wide spectrum vibration control. LabVIEW with real time suite was used for algorithm implementation and device control. To avoid sloshing in tanks at different water height a floating roof was used. Its effect on damping was also studied.
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    Study the dynamic behaviour of seven DOF of full car model with semi-active suspension system
    (Inderscience Publishers, 2021) Hemanth, H.; Shamanth, S.; Devaraj, D.; Kumar, H.; Gangadharan, K.V.
    This paper presents an investigation on the ride comfort and road-holding performance of a vehicle equipped with the semi-active suspension system. The full car semi-active suspension model with 7 degrees of freedom (7 DOF) system is adopted for the study and a fuzzy-logic control strategy is considered for minimising the effect of road disturbance on vehicle performance. The responses of a vehicle have been analysed under the Indian average random road profile (ISO8608) against the conventional passive suspension system. The performance of the semi-active suspension system is evaluated by heave, roll and pitch acceleration of the vehicle body around its centre of gravity. The performance of a vehicle with the semi-active suspension system has been compared with the response conventional passive suspension system. The result specifies that, the semi-active suspension system with a fuzzy-logic controller reduces around 43% of vibration amplitude at the resonance frequency of vehicle than the passive suspension system. © © 2021 Inderscience Enterprises Ltd.
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    Numerical and Experimental Investigations on Robust Output Feedback Control for Active Vibration Attenuation of Flexible Smart System
    (Institute of Electrical and Electronics Engineers Inc., 2023) Parameswaran, A.P.; Padmasali, A.N.; Gangadharan, K.V.
    This paper investigates the prototyping and implementation of an output feedback-based robust controller on a Field Programmable Gate Array (FPGA) platform. The Smart System under Test (SSuT) in this submission is a flexible cantilever beam bonded with Piezoelectric (PZT 5H) patches that act as a sensor as well as an actuator (perturbance creation as well as control actuation). For ease of modeling and subsequent controller design in the laboratory studies, the low-frequency dynamics of the smart system are approximated to only a Single Degree of Freedom (SDOF) in terms of flexural vibrations. The SSuT is modeled analytically through finite element modeling and experimentally through sub-space system identification process. The developed models' accuracy is compared with the experimental results of non - parametric modeling. The developed models are then used to conduct the simulation studies with the designed robust output feedback controller in the closed loop. Apart from the simulation studies, the designed controller was also prototyped on an FPGA platform using LabVIEW FPGA with the associated hardware in loop to carry out the experimental validation of its performance. The robustness and efficiency of the prototype controller to control the system vibrations in real-time were proved through extensive tests at single resonant frequencies and a range of frequencies encompassing the dominant resonant regions in the flexural mode. Findings from this study are further used to ensure satisfactory active vibration control of smart cantilever systems in various heavy/aerospace industries by approximating them to suitable benchmark systems in the laboratory. © 2013 IEEE.