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Könyv PID Controller Tuning Using the Magnitude Optimum Criterion Konstantinos Papadopoulos

PID Controller Tuning Using the Magnitude Optimum Criterion

Szerző: Konstantinos Papadopoulos
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer International Publishing AG
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
37 593 Ft
An instructive reference that will help control researchers and engineers, interested in a variety o...

Információk a könyvről

Szerző
Konstantinos Papadopoulos
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2014
oldal
296
EAN
9783319072623
ISBN
3319072625
Enbook ID
02667817
Kiadó
Springer International Publishing AG
Súly
5974
Méretek
155 x 235 x 19

Teljes leírás

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 type-I, II, III,..p control loops and regardless of the process complexity. It shows the reader how such loops achieve zero steady state-position, velocity, and acceleration error and are thus able to track fast reference signals, a much important property within many real world applications. 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 the field of electric motor drives. The application of the proposed tuning rules to a large class of processes shows that irrespective of the complexity of the 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, pressure flow pH, and humidity and level control, for example. In this case, 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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