Designing a Neural Network Control System

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SUMMARY

The discussion centers on designing a control system for 120 computer servers using temperature and power readings. The desired temperature for the servers is set at 35 degrees Celsius. The consensus is that a simple Proportional-Integral (PI) controller is more suitable than a neural network for this application. Participants recommend researching how to implement and tune a PI controller for optimal performance.

PREREQUISITES
  • Understanding of Proportional-Integral (PI) control theory
  • Familiarity with temperature monitoring systems
  • Knowledge of power management in server environments
  • Basic programming skills for implementing control algorithms
NEXT STEPS
  • Research how to implement a Proportional-Integral (PI) controller
  • Learn about tuning methods for PI controllers
  • Explore temperature monitoring tools and techniques
  • Investigate power management strategies for server optimization
USEFUL FOR

System engineers, control system designers, and IT professionals managing server environments will benefit from this discussion.

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 celsius.

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?
 
Last edited by a moderator:
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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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