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All Journal International Journal of Applied Power Engineering (IJAPE) International Journal of Advances in Applied Sciences
Arise, Nagasridhar
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Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Optimized control strategy for a three-phase grid connected inverter using PI controller and DQ frame Arise, Nagasridhar; Saiteja, Madde; Siddu, V.; Kavya, Vadluri; Vijay, Mada
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.pp790-797

Abstract

This paper provides a proportional-integral (PI) controller and direct-quadrature (DQ) frame transformation-based optimum control method for a three-phase grid-connected inverter. In terms of grid synchronization, voltage regulation, and harmonic abatement, the proposed control technique attempts to improve the inverter's performance. By separating the control of active and reactive power, the control structure is made simpler and independent regulation of these parameters is possible. This improves the inverter's capacity to quickly react to grid disruptions and track reference values accurately. In order to lower carbon emissions and improve grid dependability, it has become vital to integrate renewable energy sources into the current power grid. Grid-connected inverters are essential in this situation because they transform DC electricity from renewable sources into grid-safe AC power. This abstract outline a proportional-integral (PI) controller and direct-quadrature (DQ) frame-based optimal control method for a three-phase grid-connected inverter using a MATLAB simulation.
Artificial neural network based sensorless position estimation and direct torque control for stepper motor Arise, Nagasridhar; Babu, Thiruveedula Madhu; Gollapudi, Srinidhi; Dommeti, Tarun Kumar; Kummari, Abhishek; Shambukari, Mahith
International Journal of Advances in Applied Sciences Vol 14, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i3.pp702-710

Abstract

This study describes and illustrates how sensorless location estimation is achieved through the application of artificial neural network (ANN) control. Control stepper motor torque directly. Using stepper motors directly leads to a lot of problems; therefore, automated control systems are now commonly preferred. Stepper motors have several drawbacks when used directly, including the potential for steps to occasionally be missing while the motors are running. When physical sensors are not available, the proposed method estimates rotor position and speed using electrical signals and ANN algorithms. Simulation and experiment results demonstrate accurate position estimation (±1.5°) and efficient torque control. The sensorless direct torque control (DTC)-ANN approach increases the performance, reliability, and cost of stepper motors in robotics, computer numerical control (CNC) machines, and 3D printing.
ANFIS controller and DQ frame-based power optimization for grid-tied three phases converter Arise, Nagasridhar; Thiruveedula, Madhubabu; Divya, Guguloth; Naik, Bhukiya Dheeraj; Kumar, Komaram Sravan; Kumar, Ogulapu Kiran
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i1.pp228-237

Abstract

The study proposes an effective optimization technique aimed at reducing power loss and improving energy conversion efficiency in a three-phase electrically linked converter by employing an adaptive neuro-fuzzy inference system (ANFIS) controller. The control strategy integrates ANFIS with Fourier direct-quadrature (DQ) cycle translation based on the synchronous reference frame theory (SRFT). This combination significantly enhances converter performance by ensuring precise line synchronization, efficient voltage regulation, and effective harmonic suppression, all while delivering faster dynamic responses. The approach also simplifies the control framework and enables independent regulation of reactive and active power, offering greater operational flexibility. Such converters play a critical role in transforming DC or AC power from the grid or renewable sources into compatible electrical energy suitable for distribution. The proposed ANFIS-based DQ frame control method provides an advanced solution for optimizing the operation of electrically interconnected three-phase power converters. The research demonstrates the method’s effectiveness through detailed MATLAB simulations, confirming improved stability, reduced losses, and superior overall system performance.
Co-Authors Babu, Thiruveedula Madhu Divya, Guguloth Dommeti, Tarun Kumar Gollapudi, Srinidhi Kavya, Vadluri Kumar, Komaram Sravan Kumar, Ogulapu Kiran Kummari, Abhishek Naik, Bhukiya Dheeraj Saiteja, Madde Shambukari, Mahith Siddu, V. Thiruveedula, Madhubabu Vijay, Mada