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008 170212s2015 gw | s |||| 0|eng d
020 _a9783319072630
_9978-3-319-07263-0
024 7 _a10.1007/978-3-319-07263-0
_2doi
035 _ato000557363
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aG. Papadopoulos, Konstantinos.
_eauthor.
_9463279
245 1 0 _aPID Controller Tuning Using the Magnitude Optimum Criterion
_helectronic resource
_cby Konstantinos G. Papadopoulos.
260 _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
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.
_9224332
650 0 _aChemical engineering.
_9303336
650 0 _aControl Engineering.
_9304706
650 0 _aPower electronics.
_9460697
650 1 4 _aEngineering.
_9224332
650 2 4 _acontrol.
_9348605
650 2 4 _aIndustrial Chemistry/Chemical Engineering.
_9303339
650 2 4 _aPower Electronics, Electrical Machines and Networks.
_9310634
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-07263-0
912 _aZDB-2-ENG
999 _c412595