Intel E2160 Design Guide - Page 39

Output Weighting Matrix, 6.1.2 Proportional-Integral-Derivative (PID), Fan to sensor - vs pentium d

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Intel® Quiet System Technology (Intel® QST)-Intel® CoreTM 2 Duo E6400, E4300, and Intel® Pentium® Dual-Core E2160 Processor Figure 13. Intel® QST Overview Intel® QST Temperature sensing and response Calculations (PID) Fan to sensor Relationship (Output Weighting Matrix) PECI / SST Fan Commands (PID) PWM Temperature Sensors Fans 6.1.1 6.1.2 System Response Output Weighting Matrix Intel QST provides an Output Weighting Matrix that provides a means for a single thermal sensor to affect the speed of multiple fans. An example of how the matrix could be used is if a sensor located next to the memory is sensitive to changes in both the processor heatsink fan and a second fan in the system. By placing a factor in this matrix additional the Intel QST could command the processor thermal solution fan and this second fan to both accelerate a small amount. At the system level these two small changes can result in a smaller change in acoustics than having a single fan respond to this sensor. Proportional-Integral-Derivative (PID) The use of Proportional-Integral-Derivative (PID) control algorithms allow the magnitude of fan response to be determined based upon the difference between current temperature readings and specific temperature targets. A major advantage of a PID Algorithm is the ability to control the fans to achieve sensor temperatures much closer to the TCONTROL. Figure 14 is an illustration of the PID fan control algorithm. As illustrated in the figure, when the actual temperature is below the target temperature, the fan will slow down. The current FSC devices have a fixed temperature vs. PWM output relationship and miss this opportunity to achieve additional acoustic benefits. As the actual temperature starts ramping up and approaches the target temperature, the algorithm will instruct the fan to speed up gradually, but will not abruptly increase the fan speed to respond to the condition. It can allow an overshoot over the target temperature for a short period of time while ramping up the fan to bring the actual temperature to the target temperature. As a result of its operation, the PID control algorithm can enable an acoustic-friendly platform. October 2007 Order Number: 315279 -003US Intel® CoreTM 2 Duo E6400, E4300, and Intel® Pentium® Dual-Core E2160 Processor TDG 39

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Intel
®
Core
TM
2 Duo E6400, E4300, and Intel
®
Pentium
®
Dual-Core E2160 Processor
October 2007
TDG
Order Number: 315279 -003US
39
Intel® Quiet System Technology (Intel® QST)—Intel
®
Core
TM
2 Duo E6400, E4300, and Intel
®
Pentium
®
Dual-Core E2160 Processor
6.1.1
Output Weighting Matrix
Intel QST provides an Output Weighting Matrix that provides a means for a single
thermal sensor to affect the speed of multiple fans. An example of how the matrix
could be used is if a sensor located next to the memory is sensitive to changes in both
the processor heatsink fan and a second fan in the system. By placing a factor in this
matrix additional the Intel QST could command the processor thermal solution fan and
this second fan to both accelerate a small amount. At the system level these two small
changes can result in a smaller change in acoustics than having a single fan respond to
this sensor.
6.1.2
Proportional-Integral-Derivative (PID)
The use of Proportional-Integral-Derivative (PID) control algorithms allow the
magnitude of fan response to be determined based upon the difference between
current temperature readings and specific temperature targets. A major advantage of a
PID Algorithm is the ability to control the fans to achieve sensor temperatures much
closer to the T
CONTROL
.
Figure 14
is an illustration of the PID fan control algorithm. As illustrated in the figure,
when the actual temperature is below the target temperature, the fan will slow down.
The current FSC devices have a fixed temperature vs. PWM output relationship and
miss this opportunity to achieve additional acoustic benefits. As the actual temperature
starts ramping up and approaches the target temperature, the algorithm will instruct
the fan to speed up gradually, but will not abruptly increase the fan speed to respond to
the condition. It can allow an overshoot over the target temperature for a short period
of time while ramping up the fan to bring the actual temperature to the target
temperature. As a result of its operation, the PID control algorithm can enable an
acoustic-friendly platform.
Figure 13.
Intel® QST Overview
Fan to sensor
Relationship
(Output Weighting Matrix)
Temperature sensing
and response
Calculations
(PID)
Fan Commands
(PID)
Fans
Temperature
Sensors
Intel
®
QST
System Response
PWM
PECI / SST