DC Motor
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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Op-amp Based Automatic Umbrella
Abstract: The objective of the dissertation is to develop a smarter cover that, due to its practicality and accessibility, may lessen the need for human labour. In today's civilization, which is exposed to wind and rain without adequate safeguards, this is vital. The objective of this investigation is to develop a commercial, residential cover that is very sensitive to situations involving the sun and the rain. Operating on the surface of …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 1, 2023 · pp. 15–21 Read article