Designing a Neural Network Control System

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The discussion focuses on designing a neural network-based control system for managing the power and temperature of 120 computer servers. The goal is to maintain a desired server inlet temperature of 35 degrees Celsius by adjusting power based on temperature readings. However, participants suggest that a neural network may not be suitable for this application. Instead, they recommend using a simple Proportional-Integral (PI) controller, which is easier to implement and tune. Overall, the consensus is that a PI controller is a more effective solution for this temperature control problem.
date.chinmay
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Hello all
I'm trying to design a Neural network based control system which will do the following
i have 120 computer servers with
a. power
b. temperature of server inlet
c. temperature of server outlet

Now i have readings for all 3 operating from 5kw to 35 kw in steps of 5 kw
My server desired temp is 35 deg celcius.

what i want to do is my control sys should check the temperatures.. and where it finds highest delta.. it should reduce power by unit.

and go on doing this till it reaches minimum heated state.

Any ideas?
 
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Neural networks is not the right way to do that.

A simple PI controller is the best. A Google search can show you how to make a PI controller and how to tune it.
 
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