Self-Regulating Process
Process Variable or
Controller Output (%)
%PV
Kp = ∆%PV / ∆%CO
Self-regulating process gain (%/%)
%CO
∆%PV
0.63∗∆%PV
∆%CO
θp τp Time (seconds)
dead process
time time constant
Lambda (closed loop time constant) is defined in terms of a Lambda factor (λf):
λ = λ f ∗τ p
Self-Regulating Process
Self-Regulation Process Gain:
∆ % PV
Kp =
∆ %CO
Controller Gain
Ti
Kc =
K p ∗ (λ f ∗ τ p + θ p )
Controller Integral Time
Ti = τ p
“Near Integrating” Gain Approximation
Kp
Ki =
τp
Integrating Process
Process Variable or
Controller Output (%)
%PV
Ki = { [ ∆%PV2 / ∆t2 ] − [ ∆%PV1 / ∆t1 ] } / ∆%CO
Integrating process gain (%/sec/%)
%CO
∆%CO
ramp rate is ramp rate is
∆%PV1 / ∆t1 ∆%PV2 / ∆t2
Time (seconds)
θp
dead
time
Lambda (closed loop arrest time) is defined in terms of a Lambda factor (λf):
λ = λ f / Ki
Integrating Process
Integrating Process Gain:
∆ % PV2 / ∆t2 − ∆ % PV1 / ∆t1
Ki =
∆ %CO
Controller Gain
Ti
Kc =
K i ∗ [(λ f / K i ) + θ p ]2
Controller Integral Time
Ti = 2 ∗ (λ f / K i ) + θ p
The above tuning automatically insures the following inequality is satisfied
to prevent slow rolling oscillations from too low of a gain or integral time.
4
K c ∗ Ti >
Ki