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Guidelines for Setting Filtering and Module Execution Rate Terry Blevins  Principal Technologist
Presenters ,[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object]
Protection against 50-60 Hz pickup ,[object Object],[object Object],A/D Converter 1 st  Order Configurable Software Filter DeltaV Analog Input Card  Hardware Filter A/D Converter 3 rd  Order Sigma Delta Converter FIR Digital Filter CHARM Analog Input 2 nd  Order Software Filter* *DeltaV v11.3.1
A/D FIR Filter – 50-60 Hz Attenuation
Filtering of process measurements ,[object Object],[object Object],Field Input of 4.5 Hz (green), AI output (blue) of Module executing at 5 Hz (200 msec)  - Scaled  inTime
Example – Process Noise
Example – Process Noise
Configuring Anti-aliasing Filter ,[object Object],[object Object]
Filtering Within  a Module ,[object Object],[object Object]
Response Time – Self-regulating Process ,[object Object],[object Object],[object Object],Input Time Value Output I1 O1 T2 O2 I2 Gain =  O2 – O1  I2 – I1  Note:  Output and Input in % of scale Dead Time =  T2 – T1  63.2% (O2 - O1) T3 T1 Time Constant =  T3 – T2
Response Time – Integrating Process ,[object Object],Time Value T2 O2 T3 T1 I 2 Integrating Gain =  O2 – O1  ( I2  -  I1 ) * (T3 – T2) Dead Time =  T2 - T1 Note: Output and Input in % of scale, Time is in seconds Input Output I1 O1 ,[object Object],[object Object]
Example: Impact of Filtering (Cont)
Example: Impact of Filtering Process  Gain=1 ,  TC=4 sec, DT=1 sec * Time to return within 2% of setpoint . PID Tuning Setpoint Change Load Disturbance Tuning Method Filtering as % of Response Time Gain Reset Rate Response* Time (sec) Overshoot (%) Recovery*  Time (Sec) Max Dev (%) Typical PI No Filtering 1.13 3.5 - 7 0.2 11 6 10% 0.92 4.8 - 11 - 16 7.2 30% 0.90 6.7 17 - 22 7.7 60% 0.93 8.9 - 23 - 27 7.6 120% 1.06 11.8 - 19 - 33 7.0 Lambda λ =1.5 No Filtering 0.6 4.5 - 18 - 23 10.3 10% 0.47 6.5 - 34 - 40 11.9 30% 0.44 9.2 53 59 12.8 60% 0.47 12.3 - 67 - 74 12.8 120% 0.52 16.9 - 83 - 93 12.1
Control Execution Period ,[object Object],[object Object],Control Execution 63% of Change Process Output   Process Input Deadtime (T D  ) O I New Measurement Available Time Constant (  )
Control Execution ,[object Object],[object Object],[object Object]
Example: Control Execution - Rule 3 Module Execution Impact - Process  Gain=1 , TC=3 sec, DT=1 sec PID Tuning Setpoint Change Load Disturbance Tuning Method Module  Period Gain Reset Rate Response* Time (sec) Overshoot (%) Recovery*  Time (Sec) Max Dev (%) Typical PI 0.2 sec 0.89 3.3 - 7 - 12 10 0.5 sec 1.01 3.9 - 9 - 14 10 1 sec 1.31 5.4 12 - 16 10 2 sec 1.0 14.3 - 47 - 53 12 5 Sec 0.22 22 - 316 - 310 15
Example: Control Execution - Rule 3 (Cont)
Example: Control Execution - Rule 4 Module Execution Impact - Process  Gain=1 , TC=2 sec, DT=2 sec PID Tuning Setpoint Change Load Disturbance Tuning Method Module  Period Gain Reset Rate Response* Time (sec) Overshoot (%) Recovery*  Time (Sec) Max Dev (%) Typical PI 0.5  sec 0.49 3.2 - 16 - 20 15 1 sec 0.57 4.5 - 23 - 27 15.3 2sec 0.6 7.0 38 - 42 16.9 5 sec 0.21 22 - 316 - 330 18 10 Sec 0.12 0.44 - >600 - >600 19
Example: Control Execution - Rule 4 (Cont)
Examples – Applying Execution Rules ,[object Object],Fast Process (sec) Typical Process (sec) Process Type Deadtime Time Constant Execution Period Deadtime Time Constant Execution Period Liquid Flow/Pressure 0.1 0.4 0.1 0.1 1 0.2 Gas Flow 0.1 1 0.2 0.3 5 1 Column Pressure 1 10 2 5 50 10 Furnace Pressure 0.1 0.5 0.2* 0.3 5 1 Vessel Pressure 0.2 10 2 0.6 30 10 Compressor Surge Control 0.05 0.5 0.1 0.2 5 1 Liquid Level 0.05 30 10 0.3 300 60 Exchanger Temperature 10 30 20* 30 180 60* Batch Temperature 10 300 60 30 500 60 Column Temperature 30 600 60 60 600 60 Boiler Steam Temperature 10 30 20* 30 180 60* Vessel Temperature 30 300 60 60 600 60 Gas composition – O2 10 12 20* 20 60 40* Vessel Composition 30 300 60 60 600 60 Inline (static Mixer) pH 2 2 4* 3 5 6* Vessel pH 30 60 60* 60 600 60
Business Results Achieved ,[object Object],[object Object],$/HR Profit $/HR Profit Maximum Maximum $ Lost $ Lost “ Better” Control Time Time $/HR Profit $/HR Profit Maximum Maximum $ Lost $ Lost “ Better” Control Time Time
Summary ,[object Object],[object Object],[object Object]
Where To Get More Information ,[object Object],[object Object],[object Object],[object Object]

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Guidelines for Setting Filter and Module Execution Rate

  • 1. Guidelines for Setting Filtering and Module Execution Rate Terry Blevins Principal Technologist
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  • 5. A/D FIR Filter – 50-60 Hz Attenuation
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  • 13. Example: Impact of Filtering (Cont)
  • 14. Example: Impact of Filtering Process Gain=1 , TC=4 sec, DT=1 sec * Time to return within 2% of setpoint . PID Tuning Setpoint Change Load Disturbance Tuning Method Filtering as % of Response Time Gain Reset Rate Response* Time (sec) Overshoot (%) Recovery* Time (Sec) Max Dev (%) Typical PI No Filtering 1.13 3.5 - 7 0.2 11 6 10% 0.92 4.8 - 11 - 16 7.2 30% 0.90 6.7 17 - 22 7.7 60% 0.93 8.9 - 23 - 27 7.6 120% 1.06 11.8 - 19 - 33 7.0 Lambda λ =1.5 No Filtering 0.6 4.5 - 18 - 23 10.3 10% 0.47 6.5 - 34 - 40 11.9 30% 0.44 9.2 53 59 12.8 60% 0.47 12.3 - 67 - 74 12.8 120% 0.52 16.9 - 83 - 93 12.1
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  • 17. Example: Control Execution - Rule 3 Module Execution Impact - Process Gain=1 , TC=3 sec, DT=1 sec PID Tuning Setpoint Change Load Disturbance Tuning Method Module Period Gain Reset Rate Response* Time (sec) Overshoot (%) Recovery* Time (Sec) Max Dev (%) Typical PI 0.2 sec 0.89 3.3 - 7 - 12 10 0.5 sec 1.01 3.9 - 9 - 14 10 1 sec 1.31 5.4 12 - 16 10 2 sec 1.0 14.3 - 47 - 53 12 5 Sec 0.22 22 - 316 - 310 15
  • 18. Example: Control Execution - Rule 3 (Cont)
  • 19. Example: Control Execution - Rule 4 Module Execution Impact - Process Gain=1 , TC=2 sec, DT=2 sec PID Tuning Setpoint Change Load Disturbance Tuning Method Module Period Gain Reset Rate Response* Time (sec) Overshoot (%) Recovery* Time (Sec) Max Dev (%) Typical PI 0.5 sec 0.49 3.2 - 16 - 20 15 1 sec 0.57 4.5 - 23 - 27 15.3 2sec 0.6 7.0 38 - 42 16.9 5 sec 0.21 22 - 316 - 330 18 10 Sec 0.12 0.44 - >600 - >600 19
  • 20. Example: Control Execution - Rule 4 (Cont)
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