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Intel CORE2DUO/T7300 Mechanical Design Guidelines - Page 64

Output Weighting Matrix, Proportional-Integral-Derivative PID

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Intel® Quiet System Technology (Intel® QST) Figure 7-1. 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 System Response 7.1.1 7.1.2 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 2nd fan in the system. By placing a factor in this matrix additional, the Intel QST could command the processor thermal solution fan and this 2nd 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 7-2 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 versus 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 64 Thermal and Mechanical Design Guidelines

Section	Page
1 Introduction	9
1.1 Document Goals and Scope	9
1.1.1 Importance of Thermal Management	9
1.1.2 Document Goals	9
1.1.3 Document Scope	10
1.2 References	11
1.3 Definition of Terms	11
2 Processor Thermal/Mechanical Information	13
2.1 Mechanical Requirements	13
2.1.1 Processor Package	13
2.1.2 Heatsink Attach	15
2.1.2.1 General Guidelines	15
2.1.2.2 Heatsink Clip Load Requirement	15
2.1.2.3 Additional Guidelines	16
2.2 Thermal Requirements	16
2.2.1 Processor Case Temperature	16
2.2.2 Thermal Profile	17
2.2.3 Thermal Solution Design Requirements	17
2.2.4 TCONTROL	18
2.3 Heatsink Design Considerations	19
2.3.1 Heatsink Size	20
2.3.2 Heatsink Mass	20
2.3.3 Package IHS Flatness	21
2.3.4 Thermal Interface Material	21
2.4 System Thermal Solution Considerations	22
2.4.1 Chassis Thermal Design Capabilities	22
2.4.2 Improving Chassis Thermal Performance	22
2.4.3 Summary	23
2.5 System Integration Considerations	23
3 Thermal Metrology	25
3.1 Characterizing Cooling Performance Requirements	25
3.1.1 Example	26
3.2 Processor Thermal Solution Performance Assessment	27
3.3 Local Ambient Temperature Measurement Guidelines	27
3.4 Processor Case Temperature Measurement Guidelines	30
4 Thermal Management Logic and Thermal Monitor Feature	31
4.1 Processor Power Dissipation	31
4.2 Thermal Monitor Implementation	31
4.2.1 PROCHOT# Signal	32
4.2.2 Thermal Control Circuit	32
4.2.2.1 Thermal Monitor	32
4.2.3 Thermal Monitor 2	33
4.2.4 Operation and Configuration	34
4.2.5 On-Demand Mode	35
4.2.6 System Considerations	35
4.2.7 Operating System and Application Software Considerations	36
4.2.8 THERMTRIP# Signal	36
4.2.9 Cooling System Failure Warning	36
4.2.10 Digital Thermal Sensor	37
4.2.11 Platform Environmental Control Interface (PECI)	38
5 Balanced Technology Extended (BTX) Thermal/Mechanical Design Information	39
5.1 Overview of the BTX Reference Design	39
5.1.1 Target Heatsink Performance	39
5.1.2 Acoustics	40
5.1.3 Effective Fan Curve	41
5.1.4 Voltage Regulator Thermal Management	42
5.1.5 Altitude	43
5.1.6 Reference Heatsink Thermal Validation	43
5.2 Environmental Reliability Testing	43
5.2.1 Structural Reliability Testing	43
5.2.1.1 Random Vibration Test Procedure	43
5.2.1.2 Shock Test Procedure	44
5.2.2 Power Cycling	45
5.2.3 Recommended BIOS/CPU/Memory Test Procedures	46
5.3 Material and Recycling Requirements	46
5.4 Safety Requirements	47
5.5 Geometric Envelope for Intel® Reference BTX Thermal Module Assembly	47
5.6 Preload and TMA Stiffness	48
5.6.1 Structural Design Strategy	48
5.6.2 TMA Preload verse Stiffness	48
6 ATX Thermal/Mechanical Design Information	51
6.1 ATX Reference Design Requirements	51
6.2 Validation Results for Reference Design	53
6.2.1 Heatsink Performance	53
6.2.2 Acoustics	54
6.2.3 Altitude	54
6.2.4 Heatsink Thermal Validation	55
6.3 Environmental Reliability Testing	55
6.3.1 Structural Reliability Testing	55
6.3.1.1 Random Vibration Test Procedure	55
6.3.1.2 Shock Test Procedure	56
6.3.2 Power Cycling	57
6.3.3 Recommended BIOS/CPU/Memory Test Procedures	58
6.4 Material and Recycling Requirements	58
6.5 Safety Requirements	59
6.6 Geometric Envelope for Intel® Reference ATX Thermal Mechanical Design	59
6.7 Reference Attach Mechanism	60
6.7.1 Structural Design Strategy	60
6.7.2 Mechanical Interface to the Reference Attach Mechanism	61
7 Intel® Quiet System Technology (Intel® QST)	63
7.1 Intel® QST Algorithm	63
7.1.1 Output Weighting Matrix	64
7.1.2 Proportional-Integral-Derivative (PID)	64
7.2 Board and System Implementation of Intel® QST	66
7.3 Intel® QST Configuration and Tuning	68

Match case Limit results 1 per page

Intel® Quiet System Technology (Intel® QST)

Thermal and Mechanical Design Guidelines

Figure 7-1. Intel

QST Overview

7.1.1

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 2

fan in the system. By placing a factor in this

matrix additional, the Intel QST could command the processor thermal solution fan

and this 2

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.

7.1.2

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 7-2 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 versus 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

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