Appalabathula Venkatesh

@nie.ac.in

Research Scholar and Electrical and Electronics Engineering
The National Institute of Engineering,Mysuru,Karnataka



                    

https://researchid.co/venkatesh_206

RESEARCH INTERESTS

MATLAB Simulation
Control Theory
Power Electronics
System Modeling
Power Converters
Inverters
Control ... Instrumentation
Stability Analysis
Heuristic Optimization
fuel cell technology
Non linear stability analysis
Non-Linear ... Techniques

11

Scopus Publications

42

Scholar Citations

4

Scholar h-index

Scopus Publications

  • Impact of Discrete-Time Modeling on Dual Input Buck-SEPIC Converter
    A. Venkatesh, B. Amarendra Reddy, and T. R. Jyothsna

    World Scientific and Engineering Academy and Society (WSEAS)
    This paper addresses aspects of a two-input Buck-SEPIC dc-dc converter. This integrated DC-DC converter processes power from two sources, two switches, and four different energy storage elements. The designed converter is processing 48 volts from two sources Vg1 = 36 V and Vg2 = 60 V. The transfer function modeling of this converter plays an important role in addressing several crucial aspects like optimal parameter design, controller design, stability, and robustness issues. Here, two types of transfer function modeling aspects are considered: continuous-time and discrete-time. The discrete-time transfer function is derived by considering trailing-edge as well as leading-edge digital pulse-width modulation scheme (DPWM) and for each of these cases time-delays in the control loop are also included. The designed converter parameters L1, L2, C1, and C2 are based on the design equations. The transfer functions are obtained in continuous-time and discrete-time for the TI-BS converter in the MATLAB environment. The experimental validation of the TI-BS dc-dc converter is performed through Hardware in Loop (HIL) using the real-time environment of the OPAL RT. For TIBS converter polezero configurations and frequency response characteristics are plotted. Using these plots important characteristics related to the deviation in phase angle of frequency response at higher frequencies due to RHP zeros are observed. The simulation studies are performed considering a 36 V / 60 V to 48 V, 500 W, prototype, DC power distribution system. The detailed modeling aspects in continuous-time as well as in discrete time are discussed considering a two-input Buck-SEPIC converter. The mathematical derivations of four different transfer function matrices using discrete-time modeling (trailing-edge and leading-edge modulation) are discussed in detail along with timing diagrams considering interval-1 and interval-2 sampling. The frequency response of the TI-BS dc-dc converter is affected when it is modeled using the discrete-time models and such frequency response deviation in phase response is observed for the TI-BS converter. The nonminimum phase response of this converter is shown using the Bode frequency response in the MATLAB environment and verified using the pole-zero map.

  • Controlling BLDC Motor with Bidirectional Converters with Cyber-Physical Systems
    B B Thrishana, Shankar Nalinakshan, Appalabathula Venkatesh, and B B Nishana

    IEEE
    Brushed DC motor has simple speed control techniques. In brushed DC motor, commutation is done by the rotating part which is placed on the rotor and brushes known as commutator. The amount of losses in brushed DC motors is high because of the presence of mechanical parts. But the commutation in brushless DC motors (BLDC) is achieved with the aid of solidstate switches (Electronic commutation). As there is reduction in the losses, the motor’s performance is improved. Hence, brushed motors are being replaced by BLDC motors as they are used in many applications due to its high mechanical and electrical properties. The advantages of BLDC motors are low maintenance, electronic control and high speed therefore finds application in computer peripherals, portable power tools and vehicles such as model planes to automotive. The regulation of a BLDC motor using a bidirectional DC-DC converter is demonstrated in this research work. The output of the DC-DC converter is supplied into the three-phase voltage source inverter (VSI), that powers the motor. PI and Fuzzy controllers are used to regulate the speed of a BLDC motor. The simulation is performed with help of MATLAB R2019b version software and the results are verified. Cyber Physical Systems (CPS) for controlling BLDC motors with bidirectional converters offers several benefits, including improved accuracy, speed, and reliability of motor control, as well as reduced energy consumption and maintenance costs

  • Design and Implementation of Electrical system in H-Gantry automation for Double Disc Front Brake
    H. N. Srinivasa Nayaka, Shankar Nalinakshan, M.S. Ganesh Prasad, Vikram Y, and Appalabathula Venkatesh

    IEEE
    The rapid development in the transportation sector and the need of continual growth and advancements in the branch of science and technologies in the field of vehicular technologies, the contributions from the researchers in the transportation sector is the key factor, the technology enhancements are achieved by adopting the automation technologies. Material handling by manual is an inefficient flaw for the production line in industries. This manual process yields to less productivity, slow, and non-flexible process. In the current trending scenario, automobiles are increasing rapidly, and simultaneously automotive parts production must be increase proportionately. The automation line must be adopted in production process to design products according to the customer's requirements in an optimized time span. The current research work further comprises an evaluation that involves the electrical circuit design plan by using EPLAN ELECTRIC P8, and accomplishment of CNC & PLC machinery in electrical engineering, and its control from automation for double-disc front brake fabricating filament. Various models of parts are tried and tested to achieve cycle time.



  • Stability Testing and Restoration of a DEIG-Based Wind Power Plant with Indirect Grid Control Strategies
    Appalabathula Venkatesh, Shankar Nalinakshan, V. N. Jayasankar, V. Aneesh, S. S. Kiran, and V. Sivasubramanian

    Informa UK Limited

  • Voltage Source Converter with Different Control Strategies for a MicroGrid-connected Solar PV with Nonlinear Loads for Current Harmonics Compensation
    Appalabathula Venkatesh, Shankar Nalinakshan, and K Aswini

    IEEE
    The current advancements and research in power generation are concentrating more on PV generation. In practical, the nonlinear loads create more power quality issues, which encourage many researchers to concentrate more on power quality-related issues. This paper mainly concentrates on the design of voltage source converter (VSC) which acts as an active power filter (APF) for compensating the currents to reduce power quality issues like current distortions in non-linear loads. Different control strategies like conventional and fuzzy controllers are implemented for the control of voltage source converter. The grid is connected to a non-linear load for analysing the grid parameters with different control strategies. Instantaneous power theory modified and is applied for the current compensation which performs effective performance in controlling the VSC.

  • Dynamically Adaptive Gain Super Twisting Sliding Mode Control for Extending the range of Hydrogen Fuel Cell based Electric Vehicles
    Appalabathula Venkatesh, Shankar Nalinakshan, and S Phani Kumar

    IEEE
    The sustainable development towards green energy enforces this proposed research paper which works on the hydrogen carrier eco-friendly Fuel Cell Based Vehicles (HFCBV). Proton exchange membrane fuel cell stack system is implemented to develop the electric fuel cell reference current which is the desired input to the next energy conversion process to drive the FC drive. An intelligent bi-directional DC-DC converter is proposed to operate the hybrid backup energy source and to enhance the power and energy density capabilities even under the hydrogen carrier energy has insufficient energy to drive the remaining circuit. An efficient and reliable estimation method is applied to obtain the optimum power and energy densities. A new dynamical adaptive sliding mode second-order sliding mode controller is applied with a new strategy to get the better adaptive control system, which mainly reduces the chattering effect which is introduced into the control system adaptive path while evaluating the performance of intelligent power converters and dynamic vehicles due to their dynamical and robust behaviour in nature. The developed fuel cell stack controlling unit along with the power and energy density management system is integrated into the permanent magnet synchronous motor along with the drive circuit which intern operates the HFCBV dynamic modelling unit.

  • Consistency of Extended Kalman Filtering and Particle Filtering Techniques for the State Estimation of Brushless DC Motor
    Appalabathula Venkatesh, Shankar Nalinakshan, and M. Tony Aby Varkey

    Springer Singapore

  • Brushless motor performance optimization by eagle strategy with firefly and PSO
    Appalabathula Venkatesh, Pradeepa H, Chidanandappa R, Shankar Nalinakshan, and Jayasankar V N

    Seventh Sense Research Group Journals
    Brushless motors has special place though different motors are available because of its special features like absence in commutation, reduced noise and longer lifetime etc., The experimental parameter tracking of BLDC Motor can be achieved by developing a Reference system and their stability is guaranteed by adopting Lyapunov Stability theorems. But the stability is guaranteed only if the adaptive system is incorporated with the powerful and efficient optimization techniques. In this paper the powerful eagle strategy with Particle Swarm optimization and Firefly algorithms are applied to evaluate the performance of brushless motor Where, Eagle Strategy(ES) with the use of Levy’s walk distribution function performs diversified global search and the Particle Swarm Optimization (PSO) and Firefly Algorithm(FFA) performs the efficient intensive local search. The combined operation makes the overall optimization technique as much convenient The simulation results are obtained by using MATLAB Simulink software.

  • Energy transmission control for a Grid-connected modern power system Non-Linear loads with a Series Multi-Stage Transformer Voltage Reinjection with controlled converters
    Appalabathula Venkatesh, Shankar Nalinakshan, Kiran S S, and Pradeepa H

    Seventh Sense Research Group Journals
    The effective way of energy transmission plays a key factor in improving the overall transmission systems efficiency. Many methods are proposed to control the reactive power flow, voltage fluctuations and power factor improvement, The proposed converter topology gives a much significant improvement in transmission systems performance which includes multistage transformers control with the controlled converters along with the series active filters. The overall control strategy which involves the Multistage Voltage Re-Injection Transformer Controlled Converters (MSVRITCC) to reinject the voltages into the grid to compensate the voltages and remaining parameters and power flow control. The proposed topology improves the grid security, flexibility in reaching the desired load requirements with grid adaptability and reduces THD values into a significant values and made the control of power conditioning circuit flexible and easy to perform the voltage compensations in grid to load connected applications. The binary control is used to trigger the power converter circuits which made the controlling much simpler.

RECENT SCHOLAR PUBLICATIONS

  • Designing of self balancing amplitude modulated five level inverter for reducing voltage stress gradients on converter switches for electric vehicles
    A Venkatesh, H Sesham, V Kumar, SS Kiran, SR Salkuti, SC Kim
    Franklin Open 7, 100114 2024

  • Development of an intelligent control strategy for a hybrid energy system integrated with the HEV drive
    A Venkatesh, S Nalinakshan
    IETE Journal of Research 70 (3), 3067-3086 2024

  • Controlling BLDC Motor with Bidirectional Converters with Cyber-Physical Systems
    BB Thrishana, S Nalinakshan, A Venkatesh, BB Nishana
    2023 IEEE International Conference on Electronics, Computing and 2023

  • Intelligent Excitation System for Efficient Control of Dual Stator Winding Permanent Magnet Synchronous Generator in Hybrid Power System Applications
    A Venkatesh, S Nalinakshan
    Soft Computing Applications in Modern Power and Energy Systems: Select 2023

  • Design and Implementation of Electrical system in H-Gantry automation for Double Disc Front Brake
    HNS Nayaka, S Nalinakshan, MSG Prasad, Y Vikram, A Venkatesh
    2023 International Conference on Recent Trends in Electronics and 2023

  • Voltage Source Converter with Different Control Strategies for a MicroGrid-connected Solar PV with Nonlinear Loads for Current Harmonics Compensation
    A Venkatesh, S Nalinakshan, K Aswini
    2022 IEEE International Conference on Electronics, Computing and 2022

  • Dynamically adaptive gain super twisting sliding mode control for extending the range of hydrogen fuel cell based electric vehicles
    A Venkatesh, S Nalinakshan, SP Kumar
    2021 IEEE International Conference on Electronics, Computing and 2021

  • Stability Testing and Restoration of a DEIG-Based Wind Power Plant with Indirect Grid Control Strategies
    Appalabathula Venkatesh,Shankar Nalinakshan,V. N. Jayasankar,V. Aneesh,S. S ...
    IETE Journal of Research, 1-15 2021

  • Recent advances in power electronics and drives
    J Kumar, P Jena
    Springer Nature, Singapore 2021

  • Energy transmission control for a Grid-connected modern power system Non-Linear loads with a Series Multi-Stage Transformer Voltage Reinjection with controlled converters
    Appalabathula Venkatesh, Shankar Nalinakshan, Kiran S S, Pradeepa H
    arXiv preprint arXiv:2010.01514 68 (8), 97-101 2020

  • Brushless Motor Performance Optimization by Eagle Strategy with Firefly and PSO
    Appalabathula Venkatesh, Pradeepa H, Chidanandappa R, Shankar Nalinakshan ...
    SSRG International Journal of Engineering Trends and Technology (IJETT) 68 2020

  • Consistency of Extended Kalman Filtering and Particle Filtering Techniques for the State Estimation of Brushless DC Motor
    A Venkatesh, S Nalinakshan, MTA Varkey
    Recent Advances in Power Electronics and Drives, 327-337 2020

  • An Improved Adaptive Smo for Speed Estimation of Sensorless Dsfoc Induction Motor Drives and Stability Analysis using Lyapunov Theorem at Low Frequencies
    A Venkatesh, S Naliankshan
    International Journal of Engineering Research & Technology (IJERT) 8 (09 2019

  • An Improved Adaptive Control System for a Two Wheel Inverted Pendulum-Mobile Robot using Eagle Strategy with a Particle Swarm Optimization
    Appalabathula Venkatesh, Dr G Raja Rao
    Journal of Emerging Technologies and Innovative Research 5 (7), 137-145 2018

  • Estimation of Speed based on Flux Oriented Control of an Induction Motor drive Model with Reference Adaptive System Scheme
    Y Narendra Kumar, Appalabathula Venkatesh, et. all.
    Transactions on Engineering and Sciences 2 (4), 59-64 2014

MOST CITED SCHOLAR PUBLICATIONS

  • An Improved Adaptive Smo for Speed Estimation of Sensorless Dsfoc Induction Motor Drives and Stability Analysis using Lyapunov Theorem at Low Frequencies
    A Venkatesh, S Naliankshan
    International Journal of Engineering Research & Technology (IJERT) 8 (09 2019
    Citations: 7

  • Dynamically adaptive gain super twisting sliding mode control for extending the range of hydrogen fuel cell based electric vehicles
    A Venkatesh, S Nalinakshan, SP Kumar
    2021 IEEE International Conference on Electronics, Computing and 2021
    Citations: 6

  • Energy transmission control for a Grid-connected modern power system Non-Linear loads with a Series Multi-Stage Transformer Voltage Reinjection with controlled converters
    Appalabathula Venkatesh, Shankar Nalinakshan, Kiran S S, Pradeepa H
    arXiv preprint arXiv:2010.01514 68 (8), 97-101 2020
    Citations: 5

  • Recent advances in power electronics and drives
    J Kumar, P Jena
    Springer Nature, Singapore 2021
    Citations: 4

  • Development of an intelligent control strategy for a hybrid energy system integrated with the HEV drive
    A Venkatesh, S Nalinakshan
    IETE Journal of Research 70 (3), 3067-3086 2024
    Citations: 3

  • Stability Testing and Restoration of a DEIG-Based Wind Power Plant with Indirect Grid Control Strategies
    Appalabathula Venkatesh,Shankar Nalinakshan,V. N. Jayasankar,V. Aneesh,S. S ...
    IETE Journal of Research, 1-15 2021
    Citations: 3

  • Brushless Motor Performance Optimization by Eagle Strategy with Firefly and PSO
    Appalabathula Venkatesh, Pradeepa H, Chidanandappa R, Shankar Nalinakshan ...
    SSRG International Journal of Engineering Trends and Technology (IJETT) 68 2020
    Citations: 3

  • An Improved Adaptive Control System for a Two Wheel Inverted Pendulum-Mobile Robot using Eagle Strategy with a Particle Swarm Optimization
    Appalabathula Venkatesh, Dr G Raja Rao
    Journal of Emerging Technologies and Innovative Research 5 (7), 137-145 2018
    Citations: 3

  • Voltage Source Converter with Different Control Strategies for a MicroGrid-connected Solar PV with Nonlinear Loads for Current Harmonics Compensation
    A Venkatesh, S Nalinakshan, K Aswini
    2022 IEEE International Conference on Electronics, Computing and 2022
    Citations: 2

  • Consistency of Extended Kalman Filtering and Particle Filtering Techniques for the State Estimation of Brushless DC Motor
    A Venkatesh, S Nalinakshan, MTA Varkey
    Recent Advances in Power Electronics and Drives, 327-337 2020
    Citations: 2

  • Estimation of Speed based on Flux Oriented Control of an Induction Motor drive Model with Reference Adaptive System Scheme
    Y Narendra Kumar, Appalabathula Venkatesh, et. all.
    Transactions on Engineering and Sciences 2 (4), 59-64 2014
    Citations: 2

  • Controlling BLDC Motor with Bidirectional Converters with Cyber-Physical Systems
    BB Thrishana, S Nalinakshan, A Venkatesh, BB Nishana
    2023 IEEE International Conference on Electronics, Computing and 2023
    Citations: 1

  • Intelligent Excitation System for Efficient Control of Dual Stator Winding Permanent Magnet Synchronous Generator in Hybrid Power System Applications
    A Venkatesh, S Nalinakshan
    Soft Computing Applications in Modern Power and Energy Systems: Select 2023
    Citations: 1