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An instructive reference that will help control researchers and
engineers, interested in a variety of industrial processes, to take
advantage of a powerful tuning method for the ever-popular PID
control paradigm. This monograph presents explicit PID tuning rules
for linear control loops regardless of process complexity. It shows
the reader how such loops achieve zero steady-position, velocity,
and acceleration errors and are thus able to track fast reference
signals. The theoretical development takes place in the frequency
domain by introducing a general-transfer-function-known process
model and by exploiting the principle of the magnitude optimum
criterion. It is paralleled by the presentation of real industrial
control loops used in electric motor drives. The application of the
proposed tuning rules to a large class of processes shows that
irrespective of the complexity of the controlled process the shape
of the step and frequency response of the control loop exhibits a
specific performance. This specific performance, along with the PID
explicit solution, formulates the basis for developing an automatic
tuning method for the PID controller parameters which is a problem
often met in many industry applications-temperature, pH, and
humidity control, ratio control in product blending, and
boiler-drum level control, for example. The process of the model is
considered unknown and controller parameters are tuned
automatically such that the aforementioned performance is achieved.
The potential both for the explicit tuning rules and the automatic
tuning method is demonstrated using several examples for benchmark
process models recurring frequently in many industry applications.
An instructive reference that will help control researchers and
engineers, interested in a variety of industrial processes, to take
advantage of a powerful tuning method for the ever-popular PID
control paradigm. This monograph presents explicit PID tuning rules
for linear control loops regardless of process complexity. It shows
the reader how such loops achieve zero steady-position, velocity,
and acceleration errors and are thus able to track fast reference
signals. The theoretical development takes place in the frequency
domain by introducing a general-transfer-function-known process
model and by exploiting the principle of the magnitude optimum
criterion. It is paralleled by the presentation of real industrial
control loops used in electric motor drives. The application of the
proposed tuning rules to a large class of processes shows that
irrespective of the complexity of the controlled process the shape
of the step and frequency response of the control loop exhibits a
specific performance. This specific performance, along with the PID
explicit solution, formulates the basis for developing an automatic
tuning method for the PID controller parameters which is a problem
often met in many industry applications-temperature, pH, and
humidity control, ratio control in product blending, and
boiler-drum level control, for example. The process of the model is
considered unknown and controller parameters are tuned
automatically such that the aforementioned performance is achieved.
The potential both for the explicit tuning rules and the automatic
tuning method is demonstrated using several examples for benchmark
process models recurring frequently in many industry applications.
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