000 04292nam a22004695i 4500
001 978-3-319-07263-0
003 DE-He213
005 20200420220228.0
007 cr nn 008mamaa
008 150519s2015 gw | s |||| 0|eng d
020 _a9783319072630
_9978-3-319-07263-0
024 7 _a10.1007/978-3-319-07263-0
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aG. Papadopoulos, Konstantinos.
_eauthor.
245 1 0 _aPID Controller Tuning Using the Magnitude Optimum Criterion
_h[electronic resource] /
_cby Konstantinos G. Papadopoulos.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXX, 296 p. 127 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart 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.
520 _aAn 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. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
650 0 _aEngineering.
650 0 _aChemical engineering.
650 0 _aControl engineering.
650 0 _aPower electronics.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aIndustrial Chemistry/Chemical Engineering.
650 2 4 _aPower Electronics, Electrical Machines and Networks.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319072623
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-07263-0
912 _aZDB-2-ENG
942 _cEBK
999 _c52311
_d52311