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26 articles for “Closed-Loop Systems”
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A Review of Adaptive Power Control Methods in Broadband Networks
Abstract: Broadband communication networks have experienced rapid growth due to the increasing demand for high-speed wireless connectivity, multimedia services, cloud computing, and Internet-based applications. As network traffic and user density continue to rise, efficient power management has become an essential requirement for maintaining communication quality, improving spectrum utilization, and reducing overall energy consumption. Adaptive power control methods play a critical role in optimizing transmission performance by dynamically adjusting signal power according …
Published in International Journal of Broadband Cellular Communication · Vol. 12, Issue 1, 2026 · pp. 17–28 Read article
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Hybrid Pi-Fuzzy speed controller for interior permanent magnet Synchronous Motor
Abstract: Interior Permanent Magnet Synchronous Motors (IPMSM’s) are used for fast torque response and for better performance of the machine. IPMSM's are used in low and mid power applications such as computer peripheral equipments, robotics, adjustable speed drives and electric vehicles and in servo applications. In this paper, a simulation model has been developed for speed control and improvement in the performance of a closed loop vector controlled IPMSM drive which …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 3, Issue 1, 2017 · pp. 37–53 Read article
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Genetic Algorithm approach for the Position Control of Permanent Magnetic Synchronous Machine
Abstract: Permanent Magnetic Synchronous Motors (PMSM or Brushless DC Motor) are widely being used for many industrial applications because of their high efficiency, high torque and low volume. Research has conducted using genetic algorithm to develop a complete model of the BLDC motor and to design an optimal controller for its position control. Generally PID controller is being used for control purposes in many systems because of its simple structure and …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 2, Issue 1, 2016 · pp. 30–39 Read article
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Bidirectional DC–DC Converter Design and Control for EV Charging Stations with Grid Support Capability
Abstract: The rapid proliferation of electric vehicles (EVs) has intensified the demand for advanced charging infrastructure capable of delivering reliable, efficient, and grid-aware power management. Conventional unidirectional chargers are inadequate for modern smart-grid applications, as they preclude the utilization of stored battery energy for grid support functions. This paper presents the design, mathematical modeling, and simulation-based validation of a non-isolated bidirectional DC–DC buck–boost converter rated at 20 kW for EV charging …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 Read article
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Evolution of Mobile Wireless Generations and the Architectural Foundations of AI-Integrated 6G Networks
Abstract: Wireless communication has moved through five complete technology generations in roughly four decades, and each transition has reshaped how societies exchange information, run businesses, and design cities. This paper is the first instalment of a two-part review and concentrates on the historical arc of that journey, tracing the defining traits, benefits, and shortcomings of 1G through 5G before turning to the architectural groundwork on which sixth-generation (6G) networks are being …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Cognitive Metallurgy: A Study on Microstructure and Energy Efficiency in High-Temperature Alloying via Sensor Fusion and Deep Reinforcement Learning
Abstract: Background Traditional high-temperature metallurgical processes, such as continuous casting and specialty alloy synthesis, are characterized by high energy consumption, stochastic variability, and reliance on post-process defect inspection. The inability to precisely monitor, model, and predict the real-time thermal, chemical, and mechanical state of molten metal and cooling substrates results in significant material waste and inconsistent microstructural integrity. Methodology This study introduces a novel framework for Cognitive Metallurgy utilizing an integrated …
Published in International Journal of Metallurgy and Alloys · Vol. 11, Issue 2, 2025 · pp. 27–36 Read article