Product Overview
Table Of Contents
- Contents
- General Information (All Output Configurations)
- Overview and General Installation
- Mounting Considerations
- Wiring Considerations
- Inputs and Outputs
- Network Wiring
- Configuration Screens
- Custom Programming
- Sample Custom Applications
- CO2 Sensors and DCV
- Custom Web Graphics
- Hospitality and Locked User Interface Modes
- Motion/Occupancy Sensor
- Support
- Important Notices
- BAC-1xx63/1xxx63 Series (6 Relays and 3 Analog Outputs)
- Bills of Materials (BAC-1xx63/1xxx63)
- Sequence of Operation (BAC-1xx63/1xxx63)
- FlexStat (All Models) Common Features
- Space Temperature Setpoints and Modes
- Occupancy Modes
- Optimum Start
- Standby Mode
- Fan Control
- Sensor 2 (Fan Status or Discharge Air Temp)
- Economizer
- DCV (Demand Controlled Ventilation)—General Information
- DCV—Basic Configuration
- DCV—Standard Configuration
- DCV—Advanced Configuration
- Dehumidification
- Humidification (BAC-1x136 and BAC-1xx136 Only)
- Staged Heating and Cooling Parameters
- User Interface Display Backlight
- BAC-1xx63/1xxx63 Applications
- FlexStat (All Models) Common Features
- BAC-1xx36/1xxx36 Series (3 Relays and 6 Analog Outputs)
- BAC-1xx30 Series (3 Relays and 0 Analog Outputs)
- BAC-1xxx53 (5 Relays, 1 Triac, & 3 Analog Outputs)
- Index
FlexStat (General) 10 Application Guide, Rev S
INPUTS
1: SPACE TEMP
2: DISCH AIR TEMP
3: MIXED AIR TEMP
4: OUTSIDE AIR TEMP
5: SPACE HUMIDITY
7: REMOTE SPACE TEMP
8: AI_08
SPACE TEMP SENSOR
VALUE: 74.0° F
CAL. OFFSET: 0.0
OUT-OF-SERVICE: FALSE
FILTER WEIGHT:
6
Filter Weight (Input “Smoothing”)
Introduction
Filter Weight smooths (dampens) input value readings, reducing sensi-
tivity to signal noise and temperature spikes. Smaller lter weight val-
ues (more sensitive) cause the sensor readings to react more quickly to
sudden changes, and larger values (more stable) cause sensor readings
to react more slowly to sudden changes or noise. (See Response Time
Examples on page 12.)
Filter Weight values can be changed from the defaults in the FlexStat
menu (in rmware version R2.0.0.21 or later) or in BACstage or TotalC-
ontrol.
Areas subject to sudden swings of temperature from factors such as
door openings and closings may benet from adjusting the lter weight.
Temporarily reducing lter weight may also be helpful for some diag-
nostic or commissioning purposes (but the defaults should be restored
for normal operation). Although knowing “what’s under the hood” is
not necessary for adjusting lter weight, this section gives a brief de-
scription of the sophisticated processing involved, followed by addition-
al details and examples.
After the analog sensor signal is converted to a digital value, the value is
processed through two types of ltering, and the resulting value is ap-
propriately scaled. Additional details are:
1. After the Analog-to-Digital Converter (ADC) converts the voltage
to a digital value, the rst stage of ltering is a ve-sample median
lter. (See Median Filter on page 10.)
2. The second stage of ltering is a rst-order Innite Impulse Re-
sponse (IIR) lter, using a factor that is calculated based on the lter
weight. (See Innite Impulse Response (IIR) Filter on page 11.)
3. The nal displayed temperature value is calculated using the voltage
scalar, multiplier, and oset. (See Final Scaling on page 12.)
NOTE: These details are specic to the FlexStat, but the general lter
weight principles apply to all digital controllers from KMC
Controls.
Median Filter
The rst stage of ltering is a ve-sample median lter, which is de-
signed to discard fast, false, extreme values caused by glitches, such as
transient spikes, digital noise, and quantization outliers.
The rmware reads a 16-bit A/D sample every 250 milliseconds. The
device remembers the last ve Analog-to-Digital Converter samples,
sorts them lowest to highest, and picks the sample in the middle. This
is the median value. When the next sample is taken, the oldest sample
of the previous ve samples is removed from the buer, and the new
sample is added. The sort is done again, and the median sample is used.
See Median Filter Process on page 11.