Control of CSTR Using Active Disturbance Rejection Control and Model Predictive Control DOI
Ahmed F. Zrigan

Published: May 19, 2024

Language: Английский

Optimizing Light Intensity with PID Control DOI Creative Commons

Eriko Alfian,

Alfian Ma’arif, Phichitphon Chotikunnan

et al.

Control Systems and Optimization Letters, Journal Year: 2023, Volume and Issue: 1(3), P. 124 - 131

Published: Sept. 12, 2023

Lighting is a fundamental cornerstone within interior design, possessing the capability to metamorphose spaces and evoke emotional responses profoundly. This principle applies residential, industrial, office domains, where lighting nuances are meticulously adjusted enhance comfort practicality. However, adequate luminance frequently intersects with energy wastage, often attributed negligent light management practices. Mitigating this issue necessitates integrating intensity controls adept at adapting ambient luminosity room-specific parameters. A prospective avenue encompasses incorporating Proportional Integral Derivative (PID) control system synergized sensors. research Implementing closed-loop architecture, PID utilizes feedback mechanisms improve precision of instrumentation systems. The methodology, consisting Proportional, Integral, modalities, produces stable responses, accelerates reactions, diminishes deviations overshooting by predetermined setpoints. proposed Light Intensity Control System underpinned methodology manifests as an exhibition compelling outcomes drawn from empirical trials. judicious selection optimal parameters, specifically Kp = 0.2, Ki 0.1, Kd yielded noteworthy test outcomes: ascent time 0.0848, overshoot 6.5900, culmination period 0.4800, settling 2.3032, steady-state error 0.0300. Within system, controller assumes pivotal role, orchestrating regulation meticulous calibration harmonize designated criteria, thus fostering environment augmented efficiency adaptability in illumination.Lighting illumination.

Language: Английский

Citations

2

Control of CSTR Using Active Disturbance Rejection Control and Model Predictive Control DOI
Ahmed F. Zrigan

Published: May 19, 2024

Language: Английский

Citations

0