145.5K
CHComment your target score (1-100) for control system go get the resources pdf!
#ece #controlsystem
@chip_camp
#Dars Version Control System
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ELLet’s solve this control systems exercise together: find the steady-state value of the step response of the system illustrated in the block diagram.
Comprising the closed-loop system architecture are the following fundamental components that allow for self-correction:
* The Controller (G_c): The “brain” that processes the signal.
* The Process or Plant (G): The physical system we are trying to influence.
* The Output Transducer (H): Often a sensor that measures the output and feeds it back to the start.
🔄 The Power of Feedback
Without feedback, a system is “blind” to external disturbances. Feedback allows us to compare where we are (Output) with where we want to be (Reference Input). If there is any difference between the two, the system drives the plant, via the actuating signal, to make a correction.
In this specific problem, our output transducer, or sensor, has unity gain, which means that H(s)=1. This is a special case where the actuating signal is precisely the error signal as it is the actual difference between the input and output.
⏱️ Efficiency via the Final Value Theorem
One of the most elegant tools in a control engineer’s toolkit is the Final Value Theorem (FVT). Usually, finding the steady-state behavior of a system would require us to perform an Inverse Laplace Transform to get back into the time domain, y(t), and then calculate the limit as t approached infinity.
FVT lets us skip the heavy lifting. By analyzing the behavior as s tends to 0 in the frequency domain, we can predict the system’s long-term “resting point” without ever leaving the s-plane.
#electrical #electricalengineering #controlsystem #electronics
@electricalmath
2.5M
GHUniversal Digital Dash 🔥
Change your layout on the fly 🎨
you can pick between dozens of high-quality skins and customize every detail, like colours and gallery images as your wallpaper!! 🖼️
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#digitalcluster #digitaldash #digitaldashboard #paineldigital #tablerodigital #ghostdash #ghostdashboard #virtualcockpit #lcddashboard #cardesign #carinterior #cannetwork #ems #fuelinjection #autoperformance
@ghostdashcanada
150.5K
GEOur System Is…
I hope yall enjoy this video!! We thought it’d be fun to make so here it is!!! If you guys wanna suggest what other videos we should make feel free to comment!!
Have a great day!!
- Ace (ae/they/he)
#system #did #osdd #simplyplural
@gender_error_
341.9K
PAYou wake up early.
Watch DSA videos.
Take notes.
Feel productive.
Then you open LeetCode… and freeze.
Watching solutions feels like progress — but it isn’t.
Just like you can’t learn driving by watching videos,
you can’t master DSA by watching others solve problems.
Give every question a fair 30 minutes.
Use pen and paper.
Take hints — not answers.
Stop consuming. Start thinking.
[DSA, FAANG, Amazon, Interview, Google, Software Developer, Coding]
@parikshitpruthi
9.4K
COInternal commands of DOS.. DOS के सभी internal commands।। #computer #DOS #internal #trendingreels #commands
@computer_master_shailesh
930
SEKORAD KA3005P Programmable DC Power Supply Box
@sehana.tv
97
2.7K
DAteesri baar phir se arrays hi kr rha hu .. 😭
#computerscience #backendlogic #dsa #fyp #foryou
@darpan.decoded
3.4K
EMupdate on this project is that it is insanely difficult but someday it will be complete…
its difficult because understanding motor dynamics in theory seems easy but implementations of the same is very difficult..
but someday…..
#embedded #electronics #firmware #systemengineering
@embeddedbyrajat
277.7K
THDont make this mistake!
#dsa #Arrays #coding #programming
@the_angaar_batch
214.3K
EL🎛️ ¿Qué es un controlador PID? Una explicación simple… y muy poderosa
En este video se resume de forma clara cómo funciona el PID (Proporcional–Integral–Derivativo):
P: si no estás donde quieres estar, muévete hacia ahí.
I: si llevas mucho tiempo sin llegar, muévete más rápido.
D: si ya estás cerca, desacelera para no pasarte.
Los motores (y muchos sistemas reales) no arrancan ni se detienen instantáneamente. Por eso aparecen sobreimpulsos, errores en régimen permanente y oscilaciones. El PID permite ajustar estos tres efectos con parámetros bien definidos y lograr un comportamiento estable y preciso.
Una explicación sencilla que ayuda a entender por qué el PID sigue siendo uno de los algoritmos más usados en control automático.
📂 Puedes descargar los archivos del proyecto aquí:
👉 https://drive.google.com/file/d/0BzmbIyWePioHWVhHZE04QmVnck0/view?resourcekey=0-iivFjFSA6x_Rj1QQKSBgCQ
🎓 Conoce nuestros cursos completos de control en:
👉 https://sites.google.com/view/elingedecontrol/inicio
🎥 Crédito del video: Voltix Electronics Lab
(Gracias también a Warlax 56 por la explicación intuitiva del PID)
#PID #ControlAutomatico #IngenieriaDeControl #Motores #SistemasDinamicos #ControlIndustrial #EducacionEnIngenieria #ElIngeDeControl
@elingedecontrol
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