000 03833nam a22004695i 4500
001 978-0-85729-977-2
003 DE-He213
005 20260521092045.0
007 cr nn 008mamaa
008 111114s2012 xxk| s |||| 0|eng d
020 _a9780857299772
020 _a99780857299772
024 7 _a10.1007/978-0-85729-977-2
_2doi
082 0 4 _a629.8
_223
100 1 _aLiu, Tao.
_eauthor.
245 1 0 _aIndustrial Process Identification and Control Design
_h[electronic resource] :
_bStep-test and Relay-experiment-based Methods /
_cby Tao Liu, Furong Gao.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2012.
300 _aXXVI, 472p. 164 illus., 124 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Industrial Control,
_x1430-9491
505 0 _aPart I: Process Identification -- Introduction -- Step Response Identification of Stable Processes -- Step Response Identification of Integrating Processes -- Relay Feedback Identification of Stable Processes -- Relay Feedback Identification of Integrating Processes -- Relay Feedback Identification of Unstable Processes -- Part II: Control System Design -- Control of Single-input-single-output (SISO) Processes -- Two-degree-of-freedom (2DOF) Control of SISO Processes -- Cascade Control System -- Decoupling Control of Multiple-input-multiple-output (MIMO) Processes -- Multiloop/Decentralized Control Systems -- Batch Process Control -- Conclusions and Future Developments.
520 _a  Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice.   The simple and practical step- or relay-feedback test is employed when applying the proposed identification techniques, which are classified in terms of common industrial process type: open-loop stable; integrating; and unstable, respectively. Correspondingly, control system design and tuning models that follow are presented for single-input-single-output processes.   Furthermore, new two-degree-of-freedom control strategies and cascade control system design methods are explored with reference to independently-improving, set-point tracking and load disturbance rejection. Decoupling, multi-loop, and decentralized control techniques for the operation of multiple-input-multiple-output processes are also detailed. Perfect tracking of a desire output trajectory is realized using iterative learning control in uncertain industrial batch processes.   All the proposed methods are presented in an easy-to-follow style, illustrated by examples and practical applications. This book will be valuable for researchers in system identification and control theory, and will also be of interest to graduate control students from process, chemical, and electrical engineering backgrounds and to practising control engineers in the process industry.  
650 0 _aENGINEERING.
650 0 _aCHEMICAL ENGINEERING.
650 0 _aINDUSTRIAL ENGINEERING.
650 1 4 _aENGINEERING.
650 2 4 _aCONTROL.
650 2 4 _aINDUSTRIAL CHEMISTRY/CHEMICAL ENGINEERING.
650 2 4 _aINDUSTRIAL AND PRODUCTION ENGINEERING.
700 1 _aGao, Furong.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780857299765
830 0 _aAdvances in Industrial Control,
_x1430-9491
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-85729-977-2
_zVer el texto completo en las instalaciones del CICY
912 _aZDB-2-ENG
942 _2ddc
_cER
999 _c36119
_d36119