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Original Articles

Tuning of Proportional Integral Derivative Controllers for Critically Damped Second-Order Plus Time Delay Systems

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Abstract

In the present work, the equating coefficient method (ECM) of designing proportional integral derivative (PID) controllers is applied to critically damped stable second-order plus time delay (SOPTD) systems. Four simulation examples representing the higher-order models and based on the identified critically damped SOPTD model are considered to show the effectiveness of the proposed method. A good improvement in the closed-loop system performance is achieved for the ECM when compared to that the internal model control (IMC) method. A significant improvement is obtained in the performance of the control systems based on the critically damped SOPTD model over that of the first-order plus time delay (FOPTD) model. The ECM of designing PID controllers is also given for stable general SOPTD systems (under damped or over damped).

Nomenclature

s=

Laplace variable

θ=

process time delay

τ=

process time constant

Kp=

process gain

ζ=

damping coefficient

K1=

= KcKp

K2=

K3=

q=

= τs

α1, α2, α3=

tuning parameters

ε=

Gc=

controller transfer function

Gp=

process transfer function

kc=

controller gain

τI=

integral time

τD=

derivative time

τ1, τ2=

process time constants of overdamped system

t1=

time taken to reach fractional response (of 0.14 for SOPTD model), (of 0.353 for FOPTD model)

t2=

time taken to reach fractional response (of 0.55 for SOPTD model), (of 0.853 for FOPTD model)

t3=

time taken to reach fractional response of 0.91 for the SOPTD model

t*=

time taken to reach fractional response of 0.73 after subtracting the time delay for the SOPTD for Harriott's method

y1=

fractional response of 0.14 for the SOPTD model

fractional response of 0.353 for the FOPTD model

y2=

fractional response of 0.55 for the SOPTD model

fractional response of 0.853 for the FOPTD model

y3=

fractional response of 0.91 for the SOPTD model

▵y=

change in steady-state output

▵u=

change in steady-state input

ISE=

Integral of the square of the error

ECM=

Equating coefficient method

IMC=

Internal Model Controller method

m=

Greek Letters

α=

β=

X1=

dimensionless biomass cell concentration

X2=

dimensionless substrate concentration

X2f=

dimensionless substrate feed concentration

D1=

dilution rate

µ=

specific generation rate

µm=

maximum specific generation rate

Km=

constant in the expressions for µ

Γ=

yield factor

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