Stop Losing Money to Process Variability with These Proven Multi-Variable Process Control Strategies
Advanced MPC systems help food manufacturers optimize complex processes, reduce waste and maintain consistent product quality ...
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Blending AI and fuzzy logic in control design
Engineers are increasingly merging AI techniques with fuzzy logic to create adaptive, explainable, and reliable control systems. From robotics to renewable energy, hybrid architectures combine ...
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Smarter BLDC motor control for next-gen drones
Field-Oriented Control (FOC) is changing how brushless DC (BLDC) motors operate in drones, robotics, and automation. By mathematically controlling torque and magnetic flux alignment, FOC enhances ...
Which subjects should be included in the curriculum of an undergraduate process control course, and which should not?
New ST-patented hybrid mode relieves software development for USB PD advanced features; Updated ST-proprietary AUTORUN algorithms for sw-free basic operation STMicroelectronics (NYSE:STM) GENEVA, ...
Abstract: Contribution: Prior studies have emphasized the importance of examining nonlinear control systems in engineering courses, where implementing a proportional-integral-derivative (PID) ...
Kettle temperature regulator using PID controller based on Arduino Nano. Measurements taken by the means of DS18B20 sensor, Fotek SSR-40DA SSR relay used as an actuator. Current temperature displayed ...
Tutorial-oriented repository demonstrating digital PI control simulation on a first-order non-parametric model with actuator saturation and conditional integration (anti-windup). The focus is on ...
Abstract: This article proposes the use of a proportional–integral–derivative (PID) controller as an adaptive mechanism within the framework of the model reference adaptive system-based rotor flux ...
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