e-TechJournal
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An online journal that provides in-depth technical insight into the latest technologies, along with analysis and explanations from supplier partners, industry experts, and Newark engineers on key new trends shaping today's electronics industry. In each edition, a different essential technology is the challenge's focus.
Driving Motor Control
Empowering Precision, Efficiency, and Adaptability in Industrial Automation
In the dynamic arena of motor control, the shift from conventional mechanical drives to electric drives has ushered in a new era of industrial automation characterised by unparalleled precision, efficiency, and adaptability. Breakthroughs in control systems, drive technologies, and microcontroller advancements tailored for motors have fuelled this transformation. These innovations harness sophisticated algorithms, empowering intricate control mechanisms that were once inconceivable within purely mechanical frameworks. As a result, they optimise energy consumption and minimise downtime, marking a significant leap forward in operational efficiency.
Furthermore, the convergence of motor control with robotics, fortified by integrating AI and Machine Learning (ML) algorithms, paves the way for adaptive automation solutions that continuously learn from their environment, making informed, real-time decisions that streamline production processes. This symbiotic relationship fosters a dynamic ecosystem for Industry 4.0 and Industry 5.0, where efficiency is paramount and agility is inherent, allowing for unparalleled customisation to meet diverse operational needs.
In this technical journal, we delve into these cutting-edge developments, exploring how they are reshaping the landscape of motor control and driving the future of industrial automation.
Read about:
- The transition from mechanical to electric drives
- How Arduino maximizes motor control efficiency with plc capabilities and no vendor lock-in
- MCU-less Sinusoidal control of permanent magnet synchronous motors
- Achieve fast and accurate over-current detection using optically coupled sigma-delta modulators
- Drive reliable automation with remote motion control for intelligent nodes
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