Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, General Energy, Energy Engineering and Power Technology
70
Scopus Publications
489
Scholar Citations
11
Scholar h-index
18
Scholar i10-index
Scopus Publications
Implementation of FPGA-Based Neural Network Controller for Reducing Speed Ripple for a PMSM-Driven EV Using MRAS Speed Estimator Sanjay Kumar Kakodia, Giribabu Dyanamina IEEE Transactions on Artificial Intelligence, 2026 The conventional model reference adaptive system (MRAS) employs a proportional-integral (PI) controller with a low-pass filter (LPF). However, the LPF and integrator add phase delay and DC drift, leading to inaccurate speed estimation. Furthermore, conventional MRAS suffers from poor speed estimation owing to the initial value of the integrator and the DC drift problem. In the proposed stator-current MRAS, the measured current from the reference model and the estimated current from the adaptive model were compared. A modified integrator (MI) was proposed that eliminates the initial value and reduces the DC drift problem during the practical implementation of an integrator. For accurate speed estimation and LPF elimination, this study proposes an artificial neural network (NN) controller as an adaptive mechanism of the MRAS (NNMRAS) speed estimator for the closed-loop control of permanent magnet synchronous motors (PMSMs) in electric vehicles (EVs) during the limp-home mode. For validation, the conventional MRAS (CMRAS), modified integrator-based MRAS (MIMRAS), and NNMRAS speed estimators for direct torque and flux control (DTFC) and space vector modulation-DTFC (SVM-DTFC) were used with standard parameters, such as standard deviation (SD), overshoot, and undershoot, at different reference speeds. A laboratory test setup using a 2.2 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">kW</i> PMSM and the field-programmable gate array (FPGA)-based WAVECT WCU 300 controller was used to validate the effectiveness of the limp-home mode control.
Real-time implementation of the fuzzy logic controlled parallel protection technique to enhance the DFIG system's fault ride through capability Aftab Ahmed Ansari, Giribabu Dyanmina Scientia Iranica, 2025 A hybrid strategy is proposed in this paper for wind energy systems with doubly-fed induction generators (DFIGs) to operate continuously in the event of power fluctuation and fault-related complications in order to accept significant penetration of wind energy conversion (WEC) systems into the grid by employing a fuzzy-logic controlled modified parallel protection scheme. The scheme is designed by integrating a rotor-side series dynamic braking resistor (RSDBR) topology, a DC link brake chopper (DCBC) topology, and a rotor-side parallel resistor crowbar (REPRC) topology to suppress peak rotor currents, stator currents, and DC bus voltage at faults, thus protecting the rotor-side converter, while limiting torque fluctuations during the protection process, avoiding frequent use of crowbar short circuits, extending rotor-side converter operating time, and improving fault ride-through (FRT) capability. This research article also presents various fault overcurrent scenarios (symmetrical and asymmetrical) and provides protection analysis, including switching methods, coordination with different topologies, and resistance value calculations. The effectiveness of the proposed technique is verified using a MATLAB simulation study for a DFIG system driven by a typical 1.5 MW wind turbine. The real-time simulator (RTS)-based OPAL-RT4500 effectively verifies the operation of the scheme under various fault conditions.
Speed Ripple Reduction and Delay Compensation Using Modified Internal Mode Controller for PMSM-Based Electric Vehicle Sanjay Kumar Kakodia, Giribabu Dyanamina 5th IEEE International Conference on Sustainable Energy and Future Electric Transportation Sefet 2025, 2025 The vector control using a cascaded structure of proportional-integral control (PI) does not provide adequate performance in disturbance or delay caused by the controller and has an overshoot in speed tracking. To mitigate the overshoot in the speed tracking profile and enhance the load rejection capability, the PI controller has been proposed with a modified integrator-based internal mode controller (MI<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>MC), improving the permanent magnet synchronous machine (PMSM) drive’s dynamic response. The proposed modified integrator (MI<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>MC) controls the integrator triggering/update time with respect to control time and thereafter updates the overall output of the (MI<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>MC). Further, a conventional two-level converter has high voltage stress, electromagnetic radio interference (EMI), and noise at a low speed. Therefore, the three-level neutral point-clamped converter (TL-NPC) has been investigated for the vector-controlled (PMSM) drive. The control scheme has been tested on a 2kW surface PMSM and implemented in a field-programmable gate array (FPGA)–based WAVECT-WCU300 controller.
Reduced Position Error and Overshoot Control Using Modified Integrator-Based QPR Controller and SMO for Limp Home Mode PMSM-Driven EV Sanjay K Kakodia, Giribabu Dyanamina IEEE Journal of Emerging and Selected Topics in Power Electronics, 2025 The conventional sliding-mode observer used for position estimation in permanent magnet synchronous machine (PMSM) drives for electric vehicle (EV) applications experiences chattering caused by the sign function and phase delay when employing a low-pass filter (LPF). Additionally, the conventional integrator used in the proportional-integral (PI) controller suffers from DC drift and initial value problems during practical implementation, resulting in a significant overshoot and speed errors in the speed tracking profile. This study presents a modified integrator (MI) for digital implementation that eliminates the initial value problem and reduces the DC drift issue. This paper also proposes a MI-based quasi-proportional resonant (MIQPR) controller for the position sensorless control of PMSM-driven EVs using SMO. This approach eliminates the need for a sign function and LPF, thereby reducing the phase delay and effectively minimizing the position error. The proposed control scheme is experimentally validated through closed-loop control utilizing space-vector-modulation-based direct torque and flux control (SVM-DTFC). This ensures a fast dynamic response and reduces overshooting and undershooting of the speed response. The proposed method was validated through experiments conducted on a 2.2 kW PMSM and WAVECT WCU300 field-programmable gate array (FPGA) controller.
Direct Control Method for SEIG-Based WES with Fault-Tolerant Operation Navin Kumar, Giribabu Dyanamina 5th IEEE International Conference on Sustainable Energy and Future Electric Transportation Sefet 2025, 2025 This paper proposes the Direct torque control (DTC) method using modified space vector modulation (MSVM) for three-level (3-L) back-to-back (B-B) converter to improve the transient response of self-excited induction generators (SEIG) integrated with the fluctuating speed of the wind turbine. 3-L neutral point clamped (NPC) back-to-back converters-based WES configurations with MSVM are used for controlling the torque ripples, active power, and reactive power of the SEIG-based system. The proposed configuration has been simulated in MATLAB Simulink and real-time simulator (RTS) environments. Further, the MSVM enhances the response time and reduces the oscillations at different fault situations, showing the effectiveness in both platforms.
A Reduced Switch Count Three-Level Inverter for Wind Energy System Using ANN-Based Vector Control Navin Kumar, Giribabu Dyanamina 2025 IEEE 4th International Conference on Smart Technologies for Power Energy and Control Stpec 2025 Conference Report, 2025 In this paper, vector control with an artificial neural network (ANN) controller has been proposed for the machineside power converter(MSPC) and grid-side power converter(GSPC) for improving the power quality of the gridconnected self-excited induction generator (SEIG) based wind energy system. Further, a reduced device-count three-phase three-level switching capacitor (SC) type converter has been proposed for the grid-side converter. SC voltage helps to synchronize a five-level line voltage output. The suggested converter generates pulses using the SPWM approach. MATLAB/SIMULINK has been used to simulate the suggested model, and the WAVECT wcu300 FPGA-based controller has been used in the lab to construct the prototype model of the suggested grid-connected SEIG-based WES in order to verify its functionality In terms of reducing undershoots, overshoots, ripples, and complication in the steady state during unpredictable wind speed, the ANN with the SPWM technique beats the PI with the SPWM technique.
Enhancing Speed Response in PMSM-Fed Electric Vehicles Through Active Disturbance Rejection Controller-Based Vector Control Method Sanjay Kumar Kakodia, Giribabu Dyanamina, Amarendra Edpuganti 2025 IEEE 4th International Conference on Smart Technologies for Power Energy and Control Stpec 2025 Conference Report, 2025 Permanent magnet synchronous machines (PMSMs) are controlled using a proportional-integral (PI) controller-based vector control scheme, which exhibits poor performance in terms of load disturbances and speed ripples. Frequent disturbances are common in electric vehicle (EV) applications; therefore, active disturbance rejection control is a promising solution. In this study, the vector control scheme incorporates the ADRC within the speed loop because the outer speed loop significantly degrades performance in response to load disturbances. Therefore, an ADRC using an extended state observer (ESO) estimates the unknown load disturbance and compensates for it, thereby making it robust. Furthermore, a MATLAB/Simulink environment using an OPAL-RT 5600 real-time simulator was used for real-time control. The effectiveness of the ADRC and PI controllers was compared by using a real-time controller with different speeds and load profiles.
Topological investigations of grid integrated renewable energy systems for power quality improvement Soft Computing Applications for Advancements in Power Systems, 2024
A Filterless DC Chopper Fed PFC PMBLDCM Drive System Ujjwal Kumar Kalla, Sangharsh Meshram, Giribabu Dyanamina, Nikhil Bhati Proceedings of 2021 IEEE 2nd International Conference on Smart Technologies for Power Energy and Control Stpec 2021, 2021
An HG-SEPIC Converter Fed PMBLDC Motor Drive System Ujjwal Kumar Kalla, Sangharsh Meshram, Giribabu Dyanamina, Nikhil Bhati Proceedings of 2021 IEEE 2nd International Conference on Smart Technologies for Power Energy and Control Stpec 2021, 2021
Wind Energy Potential In India With Its Different Aspects Sachhidanand Veer savarkar, Giribabu Dyanamina Proceedings of 2019 3rd IEEE International Conference on Electrical Computer and Communication Technologies Icecct 2019, 2019
Design and Analysis of Type 2 FLC-based Wind Emulator System for Grid-connected WES N Kumar, G Dyanamina Wind Energy and Engineering Research, 100026 , 2026 2026
Comparative Analysis of PI controller Design for MTPA Controlled PMSM Drives US Rajput, S Singh, D Giribabu 2026 International Conference on Electric Power and Renewable Energy (EPREC … , 2026 2026
A Reduced Switch Count Three-Level Inverter for Wind Energy System Using ANN-Based Vector Control N Kumar, G Dyanamina 2025 IEEE 4th International Conference on Smart Technologies for Power … , 2025 2025
Design and Hil Validation of a Closed-Loop Controlled 5 KW LLC Resonant Converter for 400 V DC Output Using OPAL-RT US Rajput, A Kumari, S Singh, D Giribabu 2025 IEEE 4th International Conference on Smart Technologies for Power … , 2025 2025
Enhancing Speed Response in PMSM-Fed Electric Vehicles Through Active Disturbance Rejection Controller-Based Vector Control Method SK Kakodia, G Dyanamina, A Edpuganti 2025 IEEE 4th International Conference on Smart Technologies for Power … , 2025 2025
Sensorless limp-home mode control of PMSM-driven electric vehicle using quasi-proportional resonant controller MRAS speed estimator SK Kakodia, G Dyanamina Electrical Engineering 107 (8), 10763-10775 , 2025 2025 Citations: 2
Direct Control Method for SEIG-Based WES with Fault-Tolerant Operation N Kumar, G Dyanamina 2025 IEEE 5th International Conference on Sustainable Energy and Future … , 2025 2025
Speed Ripple Reduction and Delay Compensation Using Modified Internal Mode Controller for PMSM-Based Electric Vehicle SK Kakodia, G Dyanamina 2025 IEEE 5th International Conference on Sustainable Energy and Future … , 2025 2025
Modified Scalar Control for Improved Performance of Cascaded H-Bridge Five-Level Inverter-fed Induction Motor Drive SK Kakodia, PS Jamwal, S Singh, G Dyanamina, M Rezkallah 2025 IEEE Industry Applications Society Annual Meeting (IAS), 1-6 , 2025 2025 Citations: 1
Implementation of FPGA-based Neural Network Controller for Reducing Speed Ripple for a PMSM-driven EV using MRAS Speed Estimator SK Kakodia, G Dyanamina IEEE Transactions on Artificial Intelligence , 2025 2025 Citations: 2
Reduced Position Error and Overshoot Control Using Modified Integrator-Based QPR Controller and SMO for Limp Home Mode PMSM-driven EV SK Kakodia, G Dyanamina IEEE Journal of Emerging and Selected Topics in Power Electronics 13 (6 … , 2025 2025 Citations: 2
Comprehensive analysis of global electric vehicle charging infrastructure AA Ansari, AA Ansari, G Dyanamina, S Rai, H Shukla AIP Conference Proceedings 3253 (1), 020011 , 2025 2025 Citations: 1
Topological Investigations of Grid Integrated Renewable Energy Systems for Power Quality Improvement S Shrivastava, S Kumar, S Kumar, S Singh, SK Gawre, D Giribabu Soft Computing Applications for Advancements in Power Systems, 137-168 , 2024 2024
Dual Configured SEIG-Based WES Using Modified SVM Technique for Three Level Back to Back Converter N Kumar, G Dyanamina 2024 IEEE International Conference on Power Electronics, Drives and Energy … , 2024 2024 Citations: 2
Fuzzy Logic-Driven Protection Coordination for Robust DFIG System Operation Under Symmetrical Fault Conditions AA Ansari, G Dyanamina, AA Ansari 2024 IEEE 1st International Conference on Green Industrial Electronics and … , 2024 2024
Power Quality Improvement Using Modified SVM Technique Method for NPC-MLI Fed Grid Connected Wind Energy System using Feed-forward Artificial Neural Network Controller Based … N Kumar authorea , 2024 2024
Solar Powered Water Pumping System with Induction Motor for Off-Grid Application SK Kakodia, G Dyanamina 2024 IEEE 4th International Conference in Power Engineering Applications … , 2024 2024 Citations: 7
Improved Federal Test Procedure (FTP75) driving cycle performance for PMSM‐fed hybrid electric vehicles using artificial neural network SK Kakodia, G Dyanamina International Journal of Circuit Theory and Applications 52 (2), 1004-1026 , 2024 2024 Citations: 9
Sliding mode MRAS observer for PMSM-fed electric vehicle control using recurrent neural network-based parallel resistance estimator SK Kakodia, G Dyanamina 2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific … , 2023 2023 Citations: 3
Low Pass Filter Less Sliding mode Observer using QPR Controller for PMSM fed Electric Vehicle SK Kakodia, G Dyanamina 2023 7th International Conference on Computer Applications in Electrical … , 2023 2023
MOST CITED SCHOLAR PUBLICATIONS
Adaptive Neuro Fuzzy Inference System Based Decoupled Control for Neutral Point Clamped Multi Level Inverter Fed Induction Motor Drive SKK Giribabu D Chinese Journal of Electrical Engineering 7 (2), 70-82 , 2021 2021 Citations: 52
Fault ride-through operation analysis of doubly fed induction generator-based wind energy conversion systems: a comparative review AA Ansari, G Dyanamina Energies 15 (21), 8026 , 2022 2022 Citations: 35
Modified Reference Model for Rotor Flux-Based MRAS Speed Observer Using Neural Network Controller. SP Srivastava, MK Pathak IETE Journal of Research 65 (1) , 2019 2019 Citations: 28
Performance improvement of wind‐driven self‐excited induction generator using fuzzy logic controller S Dewangan, G Dyanamina, N Kumar International Transactions on Electrical Energy Systems 29 (8), e12039 , 2019 2019 Citations: 27
Torque ripple minimization using an artificial neural network based speed sensor less control of SVM-DTC fed PMSM drive SK Kakodia, D Giribabu, RK Ravula 2022 IEEE texas power and energy conference (TPEC), 1-6 , 2022 2022 Citations: 22
MATLAB simulation of space vector pulse width modulation for 3-level NPC Inverter and 2-level Inverter A Panda, G Dyanamina, RK Singh 2021 International Conference on Sustainable Energy and Future Electric … , 2021 2021 Citations: 22
Comparative study of control strategies for the induction generators in wind energy conversion system D Giribabu, M Das, A Kumar Wind and Structures 22 (6), 635-662 , 2016 2016 Citations: 17
Review and analysis of DC-DC power converter performance for fast charging of EVs R Singh, SK Gawre, G Dyanamina 2021 IEEE 2nd International Conference On Electrical Power and Energy … , 2021 2021 Citations: 16
A comparative study of DFOC and IFOC for IM drive SK Kakodia, G Dynamina 2020 First IEEE International Conference on Measurement, Instrumentation … , 2020 2020 Citations: 13
Matlab simulation of DTC-SVM of doubly fed induction generator for wind energy system R Gupta, G Dyanamina 2019 Innovations in Power and Advanced Computing Technologies (i-PACT) 1, 1-6 , 2019 2019 Citations: 13
Multi level inverter fed indirect vector control of induction motor using type 2 fuzzy logic controller D Giribabu, RH Vardhan, RR Prasad 2016 international conference on electrical, electronics, and optimization … , 2016 2016 Citations: 12
Design of LCL filter for grid connected three phase three level inverter to meet IEEE 519 standards A Ranjan, D Giribabu 2023 IEEE International Students' Conference on Electrical, Electronics and … , 2023 2023 Citations: 11
MATLAB simulation of FRT techniques for DFIG-based wind farms AA Ansari, G Dyanamina 2021 International conference on control, automation, power and signal … , 2021 2021 Citations: 11
Performance improvement of DFIG fed Wind Energy Conversion system using ANFIS controller A Kumar, D GiriBabu 2016 2nd International Conference on Advances in Electrical, Electronics … , 2016 2016 Citations: 11
Rotor flux-based MRAS for three level inverter fed induction motor drive using fuzzy logic controller G Dyanamina, SP Srivastava, MK Pathak International Journal of Power Electronics 4 (5), 463-478 , 2012 2012 Citations: 11
Type‐2 Fuzzy Logic controller‐based stator current Model reference adaptive system speed observer for a hybrid electric vehicle to improve transient response during limp home mode SK Kakodia, G Dyanamina International Journal of Circuit Theory and Applications 50 (10), 3426-3442 , 2022 2022 Citations: 10
ANFIS controller based STATCOM regulator for self excited induction generator M Das, D Giribabu 2016 IEEE 6th International Conference on Power Systems (ICPS), 1-6 , 2016 2016 Citations: 10
Rotor flux based MRAS for sensorless operation of three level inverter fed induction motor D Giribabu, SP Srivastava, MK Pathak 2012 IEEE Students' Conference on Electrical, Electronics and Computer … , 2012 2012 Citations: 10
Improved Federal Test Procedure (FTP75) driving cycle performance for PMSM‐fed hybrid electric vehicles using artificial neural network SK Kakodia, G Dyanamina International Journal of Circuit Theory and Applications 52 (2), 1004-1026 , 2024 2024 Citations: 9
The new trend in power conditioning using multi-converter unified power-quality conditioning (MC-UPQC) for multi feeder system SM Mukassir, SMM Mudassir, S Sultana, D Giribabu 2017 International Conference on Energy, Communication, Data Analytics and … , 2017 2017 Citations: 9