A Comprehensive Survey of Active Power Filter Applications for Load-Based Compensation

Nishad, D. K.; Tiwari, A.N.; Khalid, Saifullah

doi:10.1109/istems60181.2024.10560124

2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS) 2024

DOI: 10.1109/istems60181.2024.10560124

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A Comprehensive Survey of Active Power Filter Applications for Load-Based Compensation

D. K. Nishad,

A.N. Tiwari,

Saifullah Khalid

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2024

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Cited by 3 publications

References 34 publications

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Advanced Electric Propulsion Systems for Hybrid Electric Vehicles

Khalid

2024

Advances in Mechatronics and Mechanical Engineering

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This chapter explores advanced electric propulsion systems for hybrid electric vehicles (HEVs), focusing on design, control, and performance optimization. It examines key components including electric motors, power electronics, and energy storage systems, discussing their selection and integration. The chapter reviews control strategies such as field-oriented control, direct torque control, and model predictive control, highlighting their advantages and limitations. Performance optimization techniques using finite element analysis, computational fluid dynamics, and optimization algorithms are explored. The integration of renewable energy sources and vibration analysis and mitigation strategies are addressed. The chapter also discusses future trends, including emerging technologies like wide bandgap semiconductors and high-temperature superconductors, and the potential of artificial intelligence in system optimization. Through case studies and simulation results, the chapter provides a comprehensive overview of the state-of-the-art in HEV propulsion systems.

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Advanced Electric Propulsion Systems for Hybrid Electric Vehicles

Khalid

2024

Advances in Mechatronics and Mechanical Engineering

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A Comprehensive Review of Advanced Control Strategies for Hybrid Electric Vehicles

Khalid

2024

Advances in Mechatronics and Mechanical Engineering

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This comprehensive review explores advanced control strategies for hybrid electric vehicles (HEVs), focusing on the application of artificial intelligence (AI) and machine learning (ML) techniques. The chapter traces the evolution of HEV control strategies from conventional methods to more sophisticated approaches, such as fuzzy logic, neural networks, model predictive control, and adaptive control. The integration of AI and ML, including reinforcement learning, deep learning, and hybrid AI approaches, is discussed in detail. A comparative analysis of these strategies evaluates their performance in terms of fuel efficiency, emissions reduction, computational complexity, and adaptability. Case studies highlight real-world applications and benefits. Future directions and research opportunities, including edge computing, IoT integration, and advanced sensors, are explored. This review underscores the importance of adopting advanced control strategies to optimize HEV performance, efficiency, and reliability, contributing to a sustainable and energy-efficient future.

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Adaptive Control Algorithms for Shunt Active Power Filters in Aircraft Systems

Nishad,

Tiwari,

Khalid

2024

Advances in Mechatronics and Mechanical Engineering

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Integrating power electronic converters and nonlinear loads in current aviation power systems has increased harmonic distortion, threatening power quality. Shunt active power filters (SAPFs) can reduce these harmonics by injecting compensatory currents to negate load harmonics. While simple, proportional-integral (PI) controllers have limits in transient response, steady-state performance, and resistance to dynamic load situations and system parameter fluctuations. Advanced adaptive control algorithms optimize performance in real time by dynamically adjusting parameters. This chapter discusses adaptive notch filters, self-tuning filters, fuzzy logic controllers, and dynamic programming controllers, including their principles, design, and implementation. These adaptive algorithms outperform standard harmonic mitigation and DC-link voltage regulation methods in simulation and experimentation. The findings suggest that adaptive control methods can improve SAPF efficiency and reliability in aircraft power systems, paving the door for hybrid and intelligent control research.

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A Comprehensive Survey of Active Power Filter Applications for Load-Based Compensation

Cited by 3 publications

References 34 publications

Advanced Electric Propulsion Systems for Hybrid Electric Vehicles

Advanced Electric Propulsion Systems for Hybrid Electric Vehicles

A Comprehensive Review of Advanced Control Strategies for Hybrid Electric Vehicles

Adaptive Control Algorithms for Shunt Active Power Filters in Aircraft Systems

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