PID Controller Tuning Using the Magnitude Optimum Criterion

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 applicationstemperature, 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.

Presents real industrial control loops operating in electric motor drives developing alongside the theoretical ideas Tuning rules cover various types of PID controller and are developed for analog and digital controller designs Theory is developed generally rather than with reference to specific classes of process and its validity then confirmed by simulation in individual systems Tuning rules will help to overcome its technical limitations of PID control the most popular form of control in the industrial milieu because of low cost and complexity Includes supplementary material: sn.pub/extras

Autorentext
Dr. Eng. Konstantinos G. Papadopoulos is with ABB Switzerland (Department of Medium Voltage Drives) working as a control software development engineer for the ABB's ACS MV Drives family products. Specifically, control software development is associated with modelling of both induction and synchronous motor drives on a simulation basis, design of the control loops involved within the control principle of the motor, tuning of the involved PI/PID controllers and finally software development/integration of the simulation model onto the ABB's real time platform used in medium voltage drives.

Inhalt
Part I Introduction and Preliminaries.- Overview.- Background and Preliminaries.- Part II Explicit Tuning of the PID Controller.- Type I Control Loops.- Type II Control Loops.- Type III Control Loops.- Sampled-Data Systems.- Part III Automatic Tuning of the PID Controller.- Automatic Tuning of PID Regulators for Type I Control Loops.- Changes on the Current State of the Art..