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All Journal International Journal of Applied Power Engineering (IJAPE) International Journal of Advances in Applied Sciences
Rakesh Teerdala
St. Martin’s Engineering College
Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Super-twisting sliding mode control for enhanced performance of grid-connected PV systems with H-bridge multilevel inverter CH. Venkata Amarnadh; T. Vijay Muni; T. Anuradha Devi; Rakesh Teerdala; M. Kiran Kumar; Kambhampati Venkata Govardhan Rao
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i2.pp464-479

Abstract

This paper presents an enhanced control strategy for a grid-connected photovoltaic (PV) system employing a novel H-bridge multilevel inverter (MLI). The key contribution of this work lies in replacing the conventional proportional-integral (PI) controller with a super-twisting sliding mode controller (STSMC) for DC-link voltage regulation. Unlike earlier approaches that suffer from slow response, steady-state errors, and limited robustness under varying solar and temperature conditions, the proposed STSMC ensures faster transient response, finite-time convergence, and strong disturbance rejection without the chattering problem of classical sliding mode controllers. Another distinctive aspect of this study is the integration of STSMC with direct model predictive control (DMPC) for grid current regulation, enabling accurate reference current generation and improved synchronization. The novel H-bridge MLI topology further enhances system efficiency by reducing the number of switches while producing a seven-level output with lower total harmonic distortion (THD). Simulation results demonstrate that the proposed strategy achieves superior performance compared to the conventional PI-based system, with improvements in voltage stability, current quality, and reduced THD. These findings confirm the novelty and effectiveness of the proposed control scheme for reliable and efficient PV grid integration.
Smart internet of things driven vehicle safety and battery management system Batchalakuri Jyothi; Bhavana Pabbuleti; Ravi Ponnala; Patil Mounika; Edara Shiva Prasad; Enukonda Soumya; Rakesh Teerdala; Srungaram Ravi Teja; Malligunta Kiran Kumar; Kambhampati Venkata Govardhan Rao; Chilakala Rami Reddy
International Journal of Advances in Applied Sciences Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i3.pp1085-1097

Abstract

The proposed system design, the essential results obtained, and its relevance to modern automotive applications. The updated version now begins by identifying the dual challenge of increasing road accidents and the performance degradation of electric vehicle (EV) batteries, emphasizing the lack of integrated solutions that address both safety and battery reliability in a unified manner. Then, this study concisely describes the system design, highlighting the use of an internet of things (IoT)-enabled architecture incorporating an ADXL345 accelerometer for collision detection, global positioning system (GPS)/global system for mobile communications (GSM) modules for emergency alerting, and voltage, current, and temperature sensors for real-time battery monitoring, all interconnected through Arduino and ESP8266-based cloud communication. The abstract now summarizes key experimental results, including the system’s demonstrated accuracy in impact recognition, reduced alert latency, and reliable battery-parameter tracking supported by effective cloud visualization. Finally, this study strengthened the automotive relevance by emphasizing how this integrated platform enhances emergency responsiveness, supports predictive maintenance, and offers practical value for EVs, commercial fleet operations, and broader intelligent transportation applications. The revised abstract now provides a balanced, complete, and technically informative overview aligned with academic and automotive industry expectations.
Co-Authors Batchalakuri Jyothi Bhavana Pabbuleti CH. Venkata Amarnadh Chilakala Rami Reddy Edara Shiva Prasad Enukonda Soumya Kambhampati Venkata Govardhan Rao M. Kiran Kumar Malligunta Kiran Kumar Patil Mounika Ravi Ponnala Srungaram Ravi Teja T. Anuradha Devi T. Vijay Muni