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In the field of industrial automation, many engineers—including myself—often wonder: How should a control optimization project truly be executed? After years of hands-on experience, countless project iterations, and learning from industry veterans, I have developed a clearer understanding of the guiding principles. While this is not a definitive methodology, these insights have significantly improved both […]

From the perspective of process operations, automatic control systems can significantly reduce manual intervention while enhancing safety and efficiency. Consequently, organizations generally strive to implement automatic control wherever possible. However, in practice, many installations fail to achieve the desired level of automation due to various constraints. Simply focusing on increasing the automation rate through performance

Modern industrial automation has evolved significantly from basic single-loop control to advanced, multi-loop control systems. In practice, processes often require more sophisticated control methods due to dynamic interactions, non-linear behaviors, and varying disturbances. This article explores six widely used types of complex control loops, highlighting their principles, structures, benefits, and typical applications. 1. Cascade Control

In industrial automation projects, Distributed Control Systems (DCS) serve as the backbone of plant operations. Proper planning for I/O (Input/Output) modules and controller spare capacity is critical for ensuring system scalability, reliability, and maintenance flexibility. Overlooking this aspect can result in serious challenges during plant expansion or system upgrades. This article provides a detailed guide