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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Applied Power Engineering (IJAPE) Bulletin of Electrical Engineering and Informatics
Sudhakar, Ambarapu
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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Handwritten digit recognition using quantum convolution neural network Daniel, Ravuri; Prasad, Bode; Pasam, Prudhvi Kiran; Sudarsa, Dorababu; Sudhakar, Ambarapu; Rajanna, Bodapati Venkata
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i1.pp533-541

Abstract

The recognition of handwritten digits holds a significant place in the field of information processing. Recognizing such characters accurately from images is a complex task because of the vast differences in people's writing styles. Furthermore, the presence of various image artifacts such as blurring, intensity variations, and noise adds to the complexity of this process. The existing algorithm, convolution neural network (CNN) is one of the prominent algorithms in deep learning to handle the above problems. But there is a difficulty in handling input data that differs significantly from the training data, leading to decreased accuracy and performance. In this work, a method is proposed to overcome the aforementioned limitations by incorporating a quantum convolutional neural network algorithm (QCNN). QCNN is capable of performing more complex operations than classical CNNs. It can achieve higher levels of accuracy than classical CNNs, especially when working with noisy or incomplete data. It has the potential to scale more efficiently and effectively than classical CNNs, making them better suited for large-scale applications. The effectiveness of the proposed model is demonstrated on the modified national institute of standards and technology (MNIST) dataset and achieved an average accuracy of 91.08%.
Role of tuning techniques in advancing the performance of negative capacitance field effecting based full adder Daniel, Ravuri; Prasad, Bode; Chaturvedi, Abhay; Balaswamy, Chinthaguntla; Sudarsa, Dorababu; Vinodhkumar, Nallathambi; Eamani, Ramakrishna Reddy; Sudhakar, Ambarapu; Rajanna, Bodapati Venkata
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i1.pp59-68

Abstract

The increasing demand for faster, robust, and efficient device development of enabling technology to mass production of industrial research in circuit design deals with challenges like size, efficiency, power, and scalability. This paper, presents a design and analysis of low power high speed full adder using negative capacitance field effecting transistors. A comprehensive study is performed with adiabatic logic and reversable logic. The performance of full adder is studied with metal oxide field effect transistor (MOSFET) and negative capacitance field effecting (NCFET). The NCFET based full adder offers a low power and high speed compared with conventional MOSFET. The complete design and analysis are performed using cadence virtuoso. The adiabatic logic offering low delay of 0.023 ns and reversable logic is offering low power of 7.19 mw.
Reduction of torque ripples using the DTC-SVM method in PMSM with extended Kalman filter Sudhakar, Ambarapu; Kumari, Popuri Rajani; Sai, Cheepurupalli Krishna Chaitanya; Kumar, Munuswamy Siva; Prakash, Nelaturi Nanda; Bhavana, Mukku; Rajanna, Bodapati Venkata; Kameswari, Yeluripati Lalitha
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i4.pp944-951

Abstract

A detailed analysis has been conducted on two motor control algorithms: direct torque control (DTC) and field-oriented control (FOC). There are two ways that a voltage source inverter (VSI) can regulate a permanent magnet synchronous motor (PMSM). When using the PMSM and voltage source inverter (VSI), dead time is employed to turn off both the upper and lower switches to prevent short circuits. However, by supplying the PMSM with unexpected polarity voltages at the VSI output voltage, this switching technique reduces distortion. It is challenging to utilize the sensor to directly detect the fault voltage that results in an open circuit. This work examines the nonlinearity of the electric power controller during dead time during PMSM operation using the DTC algorithm to increase control stability. The stress distribution is estimated using an extended Kalman filter (EKF). Ultimately, the model presented in this study verified the increase in stator current and torque output through simulations and testing.
Monitoring and speed control of AC motor using PWM technique Sudhakar, Ambarapu; Kumari, Popuri Rajani; Batakala, Jeevanrao; Kumar, Munuswamy Siva; Prakash, Nelaturi Nanda; Kameswari, Yeluripati Lalitha; Rajanna, Bodapati Venkata; Bhavana, Mukku
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i4.pp1005-1013

Abstract

This study focuses on how to monitor and regulate the speed of an AC motor using pulse width modulation (PWM) technology. PWM signals regulate motor voltage and enable continuous monitoring of voltage, current, and speed in addition to speed control. Comparing this technology to conventional techniques yields considerable advantages like enhanced power and speed control. PWM-based speed control can be implemented using circuits specifically designed for motor control or microcontrollers. It has been confirmed that PWM-based control can regulate the target motor under a variety of operating conditions and that it is reliable and efficient. To boost production and efficiency, this change management technique can be applied in a variety of industries, including robots, HVAC systems, and industrial automation. The study results show the significance of PWM technology for monitoring and controlling the speed of AC motors, providing productive and affordable solutions to a range of enterprises and sectors.
Power factor improvement using silicon based switching devices for changing load parameters Kumari, Popuri Rajani; Rajasri, Kasula; Reddy, Tadi Diwakara Subba; Sudhakar, Ambarapu; Rajanna, Bodapati Venkata
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v12.i4.pp367-372

Abstract

Systems power factor provides information on how effectively it uses the electrical power being provided to hold out real work. Losses rise as a results of poor power factor, and therefore the utility is penalized. In general, inductive loads, which are reactive in nature, make up AC loads. As a result, loads require and consume reactive power from the supply source which leads to excessive voltage drop in the line if they draw a lot of lagging current from the source, which could potentially result in the line's voltage collapsing if the drop is too high. When inductors cause a phase difference between voltage and current, the information is sent to the micro-controller, where the program takes control and activates the right number of opto-isolators interfaced to the triac silicon-based semiconductor device at its output to bring shunt capacitors into the load circuit to improve power factor to the desired range Semiconductors such as silicon or germanium are generally used for making triac. The most commonly used is silicon, due to its high abundance and the fact that it can operate at a higher temperature than germanium.
Speed control analysis of voltage source inverter fed brushless DC motor Sudhakar, Ambarapu; Rajanna, Bodapati Venkata; Naidu, Madhireddi Bhaskara; Kumar, Munuswamy Siva; Nandaprakash, Nelaturi; Bhavana, Mukku; Kameswari, Yeluripati Lalitha
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i4.pp928-933

Abstract

The brushless DC (BLDC) motor requires to be controlled at the preferred speed in order to operate. A brushless DC motor's speed can be adjusted by adjusting the input voltage. In general, speed increases with voltage. The application of a Luo converter is made to satisfy the load demand, get rid of output voltage ripples, and reduce parasitic effects. The magnitude of stator input voltage to BLDC motor is controlled through the pulses applied by ATMEGA 328P micro controller to voltage source Inverter which in turn controls the magnitude of speed of BLDC motor. The position of the brushless DC (BLDC) motor is continually monitored by infrared sensors, which are then processed by a PIC16F872 microcontroller to produce the necessary pulses for BLDC motor speed regulation. The BLDC motor speed can be regulated by the pulses applied to voltage source inverter through the IR sensors placed at the motor. The outcomes of controlling the speed of a BLDC motor using voltage variation values have been shown.
Bidirectional power converter for electrical vehicle with battery charging and smart battery management system Rajanna, Bodapati Venkata; Krishnaiah, Kondragunta Rama; Reddy, Ganta Raghotham; Ahammad, Shaik Hasane; Najumunnisa, Mohammad; Inthiyaz, Syed; Eragamreddy, Gouthami; Sudhakar, Ambarapu; Kolukula, Nitalaksheswara Rao
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i4.pp2592-2604

Abstract

In electric vehicles (EVs), efficient energy management is critical for reliable power transfer between the battery and motor. This paper presents the design and implementation of a bidirectional DC-DC converter equipped with a smart battery management system (BMS). The system supports bidirectional power flow, operating in boost mode during acceleration and buck mode during regenerative braking, thereby enhancing overall energy efficiency and vehicle performance. A PIC microcontroller governs the system, performing real-time monitoring of key battery parameters such as state of charge (SOC), state of health (SOH), voltage, and temperature. Safety features include automatic cooling fan activation when the temperature exceeds 45 °C and generator startup when battery voltage falls below 23 V. Real-time data is displayed via an LCD interface to improve user interaction and system transparency. The proposed system achieved a conversion efficiency of 90-93% during experimental testing, with stable switching, reliable automation, and effective thermal protection. The embedded energy management system optimizes charging and discharging cycles while preventing overcharging, deep discharge, and thermal stress. This intelligent, automated power converter enhances battery life, improves EV reliability, and contributes to sustainable transportation by enabling features like vehicle-to-grid (V2G) energy transfer. The proposed architecture is well-suited for integration into modern EV infrastructure. Although the system architecture supports future V2G integration, V2G functionality was not implemented or tested in the present experimental setup.
A high-efficiency transformerless buck-boost inverter with fuzzy logic control for grid-connected solar PV systems Venkata Rajanna, Bodapati; Rama Krishnaiah, Kondragunta; Ramaiah, Veerlapati; Ahammad, Shaik Hasane; Najumunnisa, Mohammad; Inthiyaz, Syed; Rao Kolukula, Nitalaksheswara; Sudhakar, Ambarapu
Bulletin of Electrical Engineering and Informatics Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i6.10752

Abstract

Transformerless inverters are increasingly favored in grid-connected photovoltaic (PV) systems due to their higher efficiency, reduced size, and lower cost. This paper presents a novel transformerless inverter topology that integrates buck boost conversion with an advanced fuzzy logic controller (FLC) to enhance energy extraction and power quality under dynamically changing solar conditions. The proposed system employs a sine triangle pulse width modulation (PWM) scheme in conjunction with the FLC to improve waveform quality and system responsiveness. By dynamically adapting to variations in irradiance and load, the control strategy reduces the total harmonic distortion (THD) from 36.51% to 1.51%, significantly enhancing compliance with international grid standards. Additionally, a novel grounding technique is implemented to mitigate common mode leakage currents, a typical issue in transformerless systems, without the need for galvanic isolation. Comprehensive MATLAB/Simulink simulations validate the inverter’s performance, demonstrating superior dynamic behavior, harmonic suppression, and overall reliability. The proposed architecture offers a compact, cost effective, and high performance solution for next generation grid integrated solar PV systems.
Co-Authors Ahammad, Shaik Hasane Balaswamy, Chinthaguntla Batakala, Jeevanrao Bhavana, Mukku Chaturvedi, Abhay Daniel, Ravuri Eamani, Ramakrishna Reddy Eragamreddy, Gouthami Inthiyaz, Syed Kameswari, Yeluripati Lalitha Kolukula, Nitalaksheswara Rao Krishnaiah, Kondragunta Rama Kumar, Munuswamy Siva Kumari, Popuri Rajani Naidu, Madhireddi Bhaskara Najumunnisa, Mohammad Nandaprakash, Nelaturi Pasam, Prudhvi Kiran Prakash, Nelaturi Nanda Prasad, Bode Rajanna, Bodapati Venkata Rajasri, Kasula Rama Krishnaiah, Kondragunta Ramaiah, Veerlapati Rao Kolukula, Nitalaksheswara Reddy, Ganta Raghotham Reddy, Tadi Diwakara Subba Sai, Cheepurupalli Krishna Chaitanya Sudarsa, Dorababu Venkata Rajanna, Bodapati Vinodhkumar, Nallathambi