Bonala Anil Kumar

Scopus Publications

Real-Time HIL Simulation of Modular Multilevel Matrix Converter Using Switching Function Model
Juan Paez Alvarez, S. Milad Hoseinizadeh, Anil Kumar Bonala, Saroj Sahoo, Wei Li
IEEE Power and Energy Society General Meeting, 2024
The modular multilevel matrix converter (M3C) represents a direct AC/AC converter configuration with significant potential for high-power applications in the medium voltage range. Given the increased number of sub-modules and the control complexity, HIL testing is recommended to validate the operation of the converter and its control before deployment in the field. Additionally, the real-time simulation of such topology remains challenging because of the increased number of converter valves compared to a classical MMC. This paper presents a modeling approach based on an equivalent circuit method both efficient and precise, and designed for real-time simulation of the M3C. The proposed method can be used for HIL testing or accelerated simulation.
Dynamic Weighting Selection for Predictive Torque and Flux Control of Industrial Drives
Vishnu Prasad Muddineni, Anil Kumar Bonala, Thanuja Penthala
Lecture Notes in Electrical Engineering, 2023
Predictive Control Techniques for Induction Motor Drive for Industrial Applications
Thanuja Penthala, Saravanan Kaliyaperumal, Vishnu Prasad Muddineni, Anil Kumar Bonala
Lecture Notes in Electrical Engineering, 2023
Simplified Predictive Flux Control for Neutral Point Clamped Converter Fed IM Drive
Anil Kumar Bonala, Vishnu Prasad Muddineni
Pesgre 2022 IEEE International Conference on Power Electronics Smart Grid and Renewable Energy, 2022
The major concerns of Predictive Torque Control (PTC) of a 3-Level Neutral Point Clamped (3L-NPC) converter fed Induction Motor (IM) drive are weighting factor selection and computation burden. The implementation of PTC for a 3L-NPC fed IM requires torque, stator flux and DC-link voltage balancing as control objectives in the objective function. Hence, two weighting factors $\\lambda_{1}$ and $\\lambda_{2}$ are required respectively for the stator flux and DC-link voltage balancing in the objective function. To avoid the weighting factor for the stator flux, Predictive Flux Control (PFC) is considered in this paper. Further, selective switching states are considered to maintain the inherent neutral point balance and also to reduce the computational burdern. The total computations are limited to eleven switching states instead of twenty seven based on the stator flux location and operating mode of the drive with the 3L-NPC. The proposed method is compared with conventional PFC for 3L-NPC fed IM. The results demonstrate the effectiveness of the proposed control method under various operating conditions.
Grey Relational Analysis-Based Objective Function Optimization for Predictive Torque Control of Induction Machine
Vishnu Prasad Muddineni, Anil Kumar Bonala, Srinivasa Rao Sandepudi
IEEE Transactions on Industry Applications, 2021
This article presents grey relational analysis (GRA)-based objective function optimization in predictive torque control (PTC) for induction machine. Selection of appropriate weighting factor in the objective function is one of the key aspects in the implementation of PTC. However, selection of suitable weighting factor in the objective function is a heuristic task. To address this issue, GRA method is implemented for the objective function optimization. In this approach, single-objective function is modified into two independent objective functions for stator flux and torque. A grey relational grade is used to identify the suitable control action in each sampling. A MATLAB/Simulink model is developed to validate the control algorithm under various operating conditions of the drive, and corresponding results are compared with experimental results.
Implementation of Predictive Control Techniques Using PLEXIM Tool
Vishnu Prasad Muddineni, Anil Kumar Bonala, Hareesh Kumar Yada, Avudayappan Naraina
Lecture Notes in Electrical Engineering, 2021
A second order-second order generalized integrator for three - Phase single - Stage multifunctional grid-connected SPV system
Hareesh Kumar Yada, Bonala Anil Kumar, Vishnu Prasad Muddineni
Proceedings of the International Conference on Smart Technologies in Computing Electrical and Electronics Icstcee 2020, 2020
This study presents a multifunctional inverter for a three – phase single – stage grid – connected SPV system with SO-SOGI based control algorithm. The SOSOGI based quadrature signal generation (QSG) estimates the magnitude of source voltage and load current signal and phase – locked loop (PLL) estimates phase angle of the grid voltage. This estimation is used to design the proper control algorithm which improves the power quality such as reactive power compensation, harmonic rejection; DC offset rejection and in addition to feed the SPV energy to load and grid. Perturb and Observe (P&O) based maximum power point tracking (MPPT) is used for estimating reference PV voltage signal and power. The SO-SOGI based controller tracks the signal even under distorted grid supply conditions such as voltage sag / swell, harmonics to improve the dynamic response. These multifunctional capabilities of the inverter make the system more efficient for feeding the SPV energy to grid. Various operating conditions are shown to validate the proposed control algorithm using MATLAB / Simulink.
Grey Relational Analysis based objective Function Optimization for Predictive Torque Control of Induction Machine
Vishnu Prasad Muddineni, Anil Kumar Bonala, Srinivasa Rao Sandepudi
2020 IEEE International Conference on Power Electronics Smart Grid and Renewable Energy Pesgre 2020, 2020
This paper presents a modified objective function optimization for Predictive Torque Control (PTC) of induction machine based on Grey Relational Analysis (GRA) method. PTC offers better steady state and dynamic operating conditions on proper selection of weighing factor in the objective function. However, selection of appropriate weighting factor in the objective function is a heuristic task. To address this issue, Grey Relational Analysis (GRA) method is implemented in the objective function optimization to overcome the problems associated with weighting factor selection. In this approach, single objective function is modified into two independent objective functions for stator flux and torque. A grey relational grade is used to identify the suitable control action in each sampling. A MATLAB/Simulink model is developed to validate the control algorithm under various operating conditions and corresponding results are compared with experimental results.
Sequential selection-based predictive direct torque control for cascaded h-bridge inverter-driven induction motor drive
Vishnu Prasad Muddineni, Anil Kumar Bonala, Hareesh Kumar Yada
Lecture Notes in Electrical Engineering, 2020
Centralised model-predictive decoupled active-reactive power control for three-level neutral point clamped photovoltaic inverter with preference selective index-based objective prioritisation
Anil Kumar Bonala, Srinivasa Rao Sandepudi
Iet Power Electronics, 2019
This study presents a single-stage grid-tied three-level neutral point clamped photovoltaic inverter with a centralised model-predictive decoupled active–reactive power control. The proposed centralised model predictive control (CMPC) incorporates the constraints of maximum power extraction, dc-link capacitor voltage balancing and active–reactive power tracking in a single objective function. The dc-link voltage of the inverter is regulated to its reference for extracting the maximum power. In order to eliminate the impact of reactive power exchange on floating dc-link voltage regulation, a decoupled active–reactive power control is used in the CMPC. Furthermore, a preference selective index-based dynamic weighting factor selection approach is introduced to maintain the relative importance between the power tracking and dc-link capacitor voltage balancing. The proposed control approach eliminates the outer dc-link voltage control loop and also, the empirical approach required for the selection of weighting factors. As a result, it ensures an optimal control action in each sampling period to improve the steady-state and dynamic tracking performance of the control objectives. The proposed control approach is experimentally verified by using a 1.2 kW laboratory-scale prototype and the results are presented to demonstrate its effectiveness compared to the classical proportional–integral-based model predictive control.
Predictive Control of Three level Boost Converter Interfaced SPV System for Bi-polar DC Micro grid
Jaripati Rajesh, K.S. Nisha, Anil Kumar Bonala, Srinivasa Rao Sandepudi
Proceedings of 2019 3rd IEEE International Conference on Electrical Computer and Communication Technologies Icecct 2019, 2019
Selective finite-states model predictive control of grid interfaced three-level neutral point clamped photovoltaic inverter for inherent capacitor voltage balancing
Anil Kumar Bonala, Srinivasa Rao Sandepudi, Vishnu Prasad Muddineni
Iet Power Electronics, 2018
Improved Weighting Factor Selection for Predictive Torque Control of Induction Motor Drive Based on a Simple Additive Weighting Method
Vishnu Prasad Muddineni, Srinivasa Rao Sandepudi, Anil Kumar Bonala
Electric Power Components and Systems, 2017
Finite control set predictive torque control for induction motor drive with simplified weighting factor selection using TOPSIS method
Vishnu Prasad Muddineni, Srinivasa Rao Sandepudi, Anil Kumar Bonala
Iet Electric Power Applications, 2017
Model predictive current control with modified synchronous detection technique for three-phase 3L-NPC multi-functional solar photovoltaic system
Anil Kumar Bonala, Srinivasa Rao Sandepudi, Vishnu Prasad Muddineni
IEEE International Conference on Power Electronics Drives and Energy Systems Pedes 2016, 2017
Improved model predictive current control for single-phase NPC shunt active power filter
Anil Kumar Bonala, Srinivasa Rao Sandepudi, Vishnu Prasad Muddineni
IEEE International Conference on Power Electronics Drives and Energy Systems Pedes 2016, 2017
Predictive torque control of induction motor drive with simplified weighting factor selection
Vishnu Prasad Muddineni, Srinivasa Rao Sandepudi, Anil Kumar Bonalac
IEEE International Conference on Power Electronics Drives and Energy Systems Pedes 2016, 2017
Simplified finite control set model predictive control for induction motor drive without weighting factors
Vishnu Prasad Muddineni, Srinivasa Rao Sandepudi, Anil Kumar Bonala
IEEE International Conference on Power Electronics Drives and Energy Systems Pedes 2016, 2017
Conventional and model predictive direct torque control techniques for induction motor drive
Vishnu Prasad Muddineni, Srinivasa Rao Sandepudi, Anil Kumar Bonala
1st IEEE International Conference on Power Electronics Intelligent Control and Energy Systems Icpeices 2016, 2017
Variable conductance factor based control of multi-functional grid connected single stage solar PV system
Anil Kumar Bonala, Srinivasa Rao Sandepudi, Vishnu Prasad Muddineni
1st IEEE International Conference on Power Electronics Intelligent Control and Energy Systems Icpeices 2016, 2017
Enhanced weighting factor selection for predictive torque control of induction motor drive based on VIKOR method
Vishnu Prasad Muddineni, Anil Kumar Bonala, Srinivasa Rao Sandepudi
Iet Electric Power Applications, 2016

RECENT SCHOLAR PUBLICATIONS

Real-time HIL simulation of modular multilevel matrix converter using switching function model
JP Alvarez, SM Hoseinizadeh, AK Bonala, S Sahoo, W Li
2024 IEEE Power & Energy Society General Meeting (PESGM), 1-5 , 2024
2024
Citations: 3
Predictive control techniques for induction motor drive for industrial applications
T Penthala, S Kaliyaperumal, VP Muddineni, AK Bonala
ICDSMLA 2021: Proceedings of the 3rd International Conference on Data … , 2023
2023
Citations: 1
Dynamic Weighting Selection for Predictive Torque and Flux Control of Industrial Drives
VP Muddineni, AK Bonala, T Penthala
ICDSMLA 2021: Proceedings of the 3rd International Conference on Data … , 2023
2023
Simplified Predictive Flux Control For Neutral Point Clamped Converter Fed IM Drive
AK Bonala, VP Muddineni
2022 IEEE International Conference on Power Electronics, Smart Grid, and … , 2022
2022
Grey relational analysis-based objective function optimization for predictive torque control of induction machine
VP Muddineni, AK Bonala, SR Sandepudi
IEEE Transactions on Industry Applications 57 (1), 835-844 , 2020
2020
Citations: 46
Implementation of Predictive Control Techniques Using PLEXIM Tool
VP Muddineni, AK Bonala, HK Yada, A Naraina
International Conference on Advances in Electrical and Computer Technologies … , 2020
2020
Citations: 1
Bipolar DC Micro-Grid Based Wind Energy Systems
D Satish Reddy, S Kumar, B Anil Kumar, S Srinivasa Rao
Proceedings of the 7th International Conference on Advances in Energy … , 2020
2020
Citations: 4
Sequential Selection-Based Predictive Direct Torque Control for Cascaded H-Bridge Inverter-Driven Induction Motor Drive
VP Muddineni, AK Bonala, HK Yada
Advances in Electrical and Computer Technologies: Select Proceedings of … , 2020
2020
Centralised model‐predictive decoupled active–reactive power control for three‐level neutral point clamped photovoltaic inverter with preference selective index‐based objective …
AK Bonala, SR Sandepudi
IET Power Electronics 12 (4), 840-851 , 2019
2019
Citations: 8
Predictive control of three level boost converter interfaced SPV system for bi-polar DC micro grid
J Rajesh, KS Nisha, AK Bonala, SR Sandepudi
2019 IEEE International Conference on Electrical, Computer and Communication … , 2019
2019
Citations: 17
Multi-objective model predictive control of Grid-tied solar photovoltaic system
B Anil Kumar
2019
Selective finite‐states model predictive control of grid interfaced three‐level neutral point clamped photovoltaic inverter for inherent capacitor voltage balancing
AK Bonala, SR Sandepudi, VP Muddineni
IET Power Electronics 11 (13), 2072-2080 , 2018
2018
Citations: 16
Improved weighting factor selection for predictive torque control of induction motor drive based on a simple additive weighting method
VP Muddineni, SR Sandepudi, AK Bonala
Electric Power Components and Systems 45 (13), 1450-1462 , 2017
2017
Citations: 22
Finite control set predictive torque control for induction motor drive with simplified weighting factor selection using TOPSIS method
VP Muddineni, SR Sandepudi, AK Bonala
IET Electric Power Applications 11 (5), 749-760 , 2017
2017
Citations: 84
Predictive torque control of induction motor drive with simplified weighting factor selection
VP Muddineni, SR Sandepudi, AK Bonalac
2016 IEEE international conference on power electronics, drives and energy … , 2016
2016
Citations: 13
Improved model predictive current control for single-phase NPC shunt active power filter
AK Bonala, SR Sandepudi, VP Muddineni
2016 IEEE International Conference on Power Electronics, Drives and Energy … , 2016
2016
Citations: 5
Simplified finite control set model predictive control for induction motor drive without weighting factors
VP Muddineni, SR Sandepudi, AK Bonala
2016 IEEE International Conference on Power Electronics, Drives and Energy … , 2016
2016
Citations: 13
Model predictive current control with modified synchronous detection technique for three-phase 3L-NPC multi-functional solar photovoltaic system
AK Bonala, SR Sandepudi, VP Muddineni
2016 IEEE International Conference on Power Electronics, Drives and Energy … , 2016
2016
Citations: 12
Enhanced weighting factor selection for predictive torque control of induction motor drive based on VIKOR method
VP Muddineni, AK Bonala, SR Sandepudi
IET Electric Power Applications 10 (9), 877-888 , 2016
2016
Citations: 92
Variable conductance factor based control of multi-functional grid connected single stage solar PV system
AK Bonala, SR Sandepudi, VP Muddineni
2016 IEEE 1st International Conference on Power Electronics, Intelligent … , 2016
2016
Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

Enhanced weighting factor selection for predictive torque control of induction motor drive based on VIKOR method
VP Muddineni, AK Bonala, SR Sandepudi
IET Electric Power Applications 10 (9), 877-888 , 2016
2016
Citations: 92
Finite control set predictive torque control for induction motor drive with simplified weighting factor selection using TOPSIS method
VP Muddineni, SR Sandepudi, AK Bonala
IET Electric Power Applications 11 (5), 749-760 , 2017
2017
Citations: 84
Grey relational analysis-based objective function optimization for predictive torque control of induction machine
VP Muddineni, AK Bonala, SR Sandepudi
IEEE Transactions on Industry Applications 57 (1), 835-844 , 2020
2020
Citations: 46
Improved weighting factor selection for predictive torque control of induction motor drive based on a simple additive weighting method
VP Muddineni, SR Sandepudi, AK Bonala
Electric Power Components and Systems 45 (13), 1450-1462 , 2017
2017
Citations: 22
Predictive control of three level boost converter interfaced SPV system for bi-polar DC micro grid
J Rajesh, KS Nisha, AK Bonala, SR Sandepudi
2019 IEEE International Conference on Electrical, Computer and Communication … , 2019
2019
Citations: 17
Selective finite‐states model predictive control of grid interfaced three‐level neutral point clamped photovoltaic inverter for inherent capacitor voltage balancing
AK Bonala, SR Sandepudi, VP Muddineni
IET Power Electronics 11 (13), 2072-2080 , 2018
2018
Citations: 16
Predictive torque control of induction motor drive with simplified weighting factor selection
VP Muddineni, SR Sandepudi, AK Bonalac
2016 IEEE international conference on power electronics, drives and energy … , 2016
2016
Citations: 13
Simplified finite control set model predictive control for induction motor drive without weighting factors
VP Muddineni, SR Sandepudi, AK Bonala
2016 IEEE International Conference on Power Electronics, Drives and Energy … , 2016
2016
Citations: 13
Model predictive current control with modified synchronous detection technique for three-phase 3L-NPC multi-functional solar photovoltaic system
AK Bonala, SR Sandepudi, VP Muddineni
2016 IEEE International Conference on Power Electronics, Drives and Energy … , 2016
2016
Citations: 12
Centralised model‐predictive decoupled active–reactive power control for three‐level neutral point clamped photovoltaic inverter with preference selective index‐based objective …
AK Bonala, SR Sandepudi
IET Power Electronics 12 (4), 840-851 , 2019
2019
Citations: 8
Improved model predictive current control for single-phase NPC shunt active power filter
AK Bonala, SR Sandepudi, VP Muddineni
2016 IEEE International Conference on Power Electronics, Drives and Energy … , 2016
2016
Citations: 5
Conventional and model predictive direct torque control techniques for induction motor drive
VP Muddineni, SR Sandepudi, AK Bonala
2016 IEEE 1st international conference on power electronics, intelligent … , 2016
2016
Citations: 5
Bipolar DC Micro-Grid Based Wind Energy Systems
D Satish Reddy, S Kumar, B Anil Kumar, S Srinivasa Rao
Proceedings of the 7th International Conference on Advances in Energy … , 2020
2020
Citations: 4
Real-time HIL simulation of modular multilevel matrix converter using switching function model
JP Alvarez, SM Hoseinizadeh, AK Bonala, S Sahoo, W Li
2024 IEEE Power & Energy Society General Meeting (PESGM), 1-5 , 2024
2024
Citations: 3
Predictive control techniques for induction motor drive for industrial applications
T Penthala, S Kaliyaperumal, VP Muddineni, AK Bonala
ICDSMLA 2021: Proceedings of the 3rd International Conference on Data … , 2023
2023
Citations: 1
Implementation of Predictive Control Techniques Using PLEXIM Tool
VP Muddineni, AK Bonala, HK Yada, A Naraina
International Conference on Advances in Electrical and Computer Technologies … , 2020
2020
Citations: 1
Variable conductance factor based control of multi-functional grid connected single stage solar PV system
AK Bonala, SR Sandepudi, VP Muddineni
2016 IEEE 1st International Conference on Power Electronics, Intelligent … , 2016
2016
Citations: 1
Dynamic Weighting Selection for Predictive Torque and Flux Control of Industrial Drives
VP Muddineni, AK Bonala, T Penthala
ICDSMLA 2021: Proceedings of the 3rd International Conference on Data … , 2023
2023
Simplified Predictive Flux Control For Neutral Point Clamped Converter Fed IM Drive
AK Bonala, VP Muddineni
2022 IEEE International Conference on Power Electronics, Smart Grid, and … , 2022
2022
Sequential Selection-Based Predictive Direct Torque Control for Cascaded H-Bridge Inverter-Driven Induction Motor Drive
VP Muddineni, AK Bonala, HK Yada
Advances in Electrical and Computer Technologies: Select Proceedings of … , 2020
2020

Bonala Anil Kumar

RESEARCH INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS