A Modular Sensing Insole System for Enhanced Gait Analysis and Foot Health Monitoring Vasantharathna S., Dinesh T., Naveen Raj S.P., Subaharini V., Vaibhavi B. Journal of Trends in Computer Science and Smart Technology, 2025 Plantar pressure measurement is an integral aspect of biomedical engineering, providing important insights for diagnosing and managing foot-related health conditions. This study introduces a modular piezoelectric sensing insole designed for enhanced human gait analysis. The system incorporates force-sensitive resistors strategically placed to capture dynamic plantar pressure data, which is processed and visualized using Python-based tools. Emphasizing portability, cost-effectiveness, and real-time analysis, the system identifies abnormal pressure distributions and classifies foot conditions. By integrating machine learning algorithm XGBoost, the solution provides actionable insights, aiding healthcare professionals in early diagnosis and preventive interventions. This approach offers substantial benefits in clinical settings, sports science, and rehabilitation, bridging the gap between technology and personalized healthcare.
Self-excitation system for control of wind turbine driven induction generator using direct torque control K Premalatha, S Vasantharathna, T Dhivyaah JVC Journal of Vibration and Control, 2016 This paper describes the direct torque and flux control (DTC) of a self-excited induction generator (SEIG) for wind energy conversion systems (WECS). The DTC-based WECS is more suitable for low power applications, owing to several advantages such as good torque control in steady-state and transient operating conditions, not requiring an accurate generator model, the absence of coordinate transforms and current controllers. The SEIG is excited by a voltage source converter (VSC) with a capacitor and start-up battery on the direct current (DC) side. The required reactive power for the SEIG is provided by the capacitor. The terminal voltage of the SEIG varies with wind speed and load conditions. The proposed DTC strategy is used to control the terminal voltage of the SEIG and DC voltage at a constant value when the load and wind speed are varied. The gate signals for the VSC are derived from an inverter switching table. The torque and stator flux of the induction generator are controlled through the voltage space vector selection. The proposed system gives good dynamic and steady-state performance. The effectiveness of the proposed control strategy is verified through simulations. Experimental results are presented to validate the simulation results.
Electric power systems S. Vasantharathna Electric Renewable Energy Systems, 2016 Power supply systems are widely interconnected across regions for economic reasons, to reduce the cost of electricity and improve the reliability of power supply. At the same time, with growing technological advancements impacting the power industry, power supply systems may also lead to insecurity. Bottlenecks in interconnected power systems that may lead to security problems might include excessive reactive power, faults, dynamic swings of connected loads, and generation capacity. Hence, to provide dynamic control of system voltage, frequency, and reactive power, and to design the generation capacity and decide upon the rating of protective devices, this chapter will be of significant use to avoid outages and increase the reliability of power systems.
Experimental investigation on fuzzy-based dynamic PWM controller using FPGA for harmonics and torque ripple minimisation in BLDC motor drive A. Albert Rajan, S. Vasantharathna International Journal of Information and Communication Technology, 2015 The brushless DC motor BLDCM drive suffers with a high degree of voltage, current harmonics and torque ripple in the output. The proposed active filtering technique reduces the harmonics and the torque ripple effectively and improves the performance of the motor. Due to the non-linear characteristics of the motor, fuzzy logic is found to be the suitable technique to control the filtering action. This paper discus the fuzzy logic controlled variable frequency and variable duty ratio pulse width modulation technique for the motor drive to minimise the harmonics and the ripple torque. The frequency and the duty ratio are dynamically adjusted by the fuzzy controller for the wide range of speed and load application. This technique is experimented using Virtex II Pro Field Programmable Gate Array FPGA and obtained convincing results. The experimental results confirm the effectiveness of this technique in minimising harmonics and torque ripple of the motor drive.
Pairwise sequence alignment using bio-database compression by improved fine tuned enhanced suffix array International Arab Journal of Information Technology, 2015
Harmonic current compensation in self excited induction generator using active filter Istanbul University Journal of Electrical and Electronics Engineering, 2015
Gencos wind-thermal scheduling problem using Artificial Immune System algorithm K. Lakshmi, S. Vasantharathna International Journal of Electrical Power and Energy Systems, 2014 This paper presents an Artificial Immune System approach for solving generation scheduling problem of a Genco comprised of thermal and wind energy systems. Wind–thermal scheduling problem determine the time of instant to start up and shut down the generating units over a scheduled time period, while satisfying the ‘system’ and ‘generator’ constraints including minimum up/down time; ramp rate limits of thermal units and wind power constraints. In this work, the impact of wind energy on short term generation scheduling problem is analyzed through the adaptive search which is inspired from the Artificial Immune System. The effectiveness of the proposed approach is demonstrated through a Genco consists of 10 thermal units with 2 wind farms and the results for the near optimal schedule are discussed.
Genco's profit based unit commitment using artificial immune system in day ahead competitive electricity markets K. Lakshmi, S. Vasantharathna Journal of Applied Science and Engineering, 2014 In a competitive environment, electric power generation companies (Genco’s) need a generation schedule, which maximizes the profit over the scheduling period, subject to all prevailing constraints such as power demand, market prices, etc. Here, the proposed artificial immune system (AIS) approach representing the objective function as deemed antigen and the optimal solutions obtained are given as deemed antibodies. If an antibody fits the antigen best, then this antibody is deemed the optimal solution. The convergence speed of artificial immune algorithm has been increased greatly by shortening the code length, which could be achieved by encoding of continuous operating time. Simulation results of an IEEE test system and an Indian utility system demonstrate the effective performance of the proposed technique. Also, the numerical results were compared with the conventional method of lagrange relaxation for reaching proper unit commitment in a day ahead competitive electricity markets.
Fuzzy logic based three-level shunt active filter for harmonics and torque ripple reduction in brushless DC motor drive A. Albert Rajan, S. Vasantharathna 2014 International Conference on Electronics and Communication Systems Icecs 2014, 2014 This paper aims at the implementation of fuzzy logic controlled three level shunt active filters to minimize the harmonics present in the stator current and to minimize the torque ripple of a permanent magnet brushless DC motor. This proposed work is simulated using MATLAB Simulink. The control signals for the shunt active filter are generated using fuzzy logic technique. The simulation results for various methodologies in minimizing the harmonics and torque ripple minimization are compared. There is a considerable improvement in terms of reduction in current harmonics. It is also observed that there is considerable reduction in torque ripple due to the current compensation provided by the shunt active filter.
Development of smart metering infrastructure for residential distributed generation/Micro Grid in Indian power system International Journal of Applied Engineering Research, 2014
Pairwise Sequence alignment using Bee Colony Optimization on compressed biological database Research Journal of Biotechnology, 2013
Impedance source converter based stabilization of a stand alone wind generator using inverted sine PWM International Review on Modelling and Simulations, 2012
Bio-database compression using enhanced suffix array for pairwise sequence alignment Journal of Cell and Molecular Biology, 2011
Fuzzy based reconfigurable controller for BLDC motor A. Albert Rajan, R. Daniel Raj, S. Vasantharathna 2010 2nd International Conference on Computing Communication and Networking Technologies Icccnt 2010, 2010
Voltage and frequency control of independent wind power generating system 2009 International Conference on Control Automation Communication and Energy Conservation Incacec 2009, 2009
Power quality event recognition using fisher discriminant kernel and artificial neural networks Series on Energy and Power Systems, 2004
