LEADER 00887nam a2200253 i 4500 001 991001627009707536 005 20020502203133.0 008 930506s1993 it ||| | ita 020 $a8820013436 035 $ab11540618-39ule_inst 035 $aPRUMB64729$9ExL 040 $aDip. di SSSC - Didattica$bita 100 1 $aEtienne, Jean-Louis$0528321 245 10$aTransantartica /$cJean-Louis Etienne ; traduzione di Giorgio Arduin 260 $aMilano :$bSperling & Kupfer,$c1993 300 $a258 p. :$bill. ;$c21 cm. 490 0 $aAvventura 651 4$aAntartide - esplorazioni 907 $a.b11540618$b01-03-17$c01-07-02 912 $a991001627009707536 945 $aLE021 FH10A35$g1$iLE021N-10230$lle021$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i11739575$z01-07-02 996 $aTransantartica$9815770 997 $aUNISALENTO 998 $ale021$b01-01-93$cm$da $e-$fita$git $h0$i1 LEADER 00797cam0-2200289 --450 001 9910748798203321 005 20231103092627.0 010 $a978-88-343-4819-2 020 $aIT$b2023-292 100 $a20231103d2022----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $ay 001yy 200 1 $aSud$eil capitale che serve$fCarlo Borgomeo 210 $aMilano$cVita e pensiero$d2022 215 $a182 p.$d21 cm 225 1 $aPiccola biblioteca per un Paese normale 610 0 $aSviluppo economico$aItalia meridionale 676 $a338.9457$v23$zita 700 1$aBorgomeo,$bCarlo$0479796 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910748798203321 952 $aECO 4$b867/2023$fFSPBC 959 $aFSPBC 996 $aSud$93073946 997 $aUNINA LEADER 06656nam 22006855 450 001 9910484359703321 005 20251113194955.0 010 $a3-030-67723-0 024 7 $a10.1007/978-3-030-67723-7 035 $a(CKB)4100000011763221 035 $a(MiAaPQ)EBC6478647 035 $a(PPN)253860482 035 $a(Au-PeEL)EBL6478647 035 $a(OCoLC)1237865098 035 $a(DE-He213)978-3-030-67723-7 035 $a(EXLCZ)994100000011763221 100 $a20210213d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Backstepping Control for the Alternating-Current Drive Systems /$fby Jinpeng Yu, Peng Shi, Jiapeng Liu 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (233 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v349 311 08$a3-030-67722-2 327 $aIntro -- Preface -- Acknowledgements -- Contents -- Notations and Acronyms -- List of Figures -- 1 Introduction -- 1.1 Dynamic Mathematical Model for IM -- 1.2 Dynamic Mathematical Model for PMSM -- 1.3 Outline of the Book -- References -- Part I Induction Motor -- 2 Position Tracking Control of IM via Adaptive Fuzzy Backstepping -- 2.1 Introduction -- 2.2 Mathematical Model of the IM Drive System and Preliminaries -- 2.3 Adaptive Fuzzy Controller Design with Backstepping -- 2.4 Simulation Results -- 2.4.1 Classical Backstepping Design -- 2.4.2 Simulation -- 2.5 Conclusion -- References -- 3 NNs-Based Command Filtered Control for IM with Input Saturation -- 3.1 Introduction -- 3.2 Mathematical Model of IM Drive System -- 3.3 Command-Filtered Adaptive NNs Control Design -- 3.4 Simulation Results -- 3.5 Conclusion -- References -- 4 NNs-Based Discrete-Time Command Filtered Adaptive Control for IM -- 4.1 Introduction -- 4.2 Mathematical Model of the IM Drive System -- 4.3 Discrete-Time Command Filtered Neural Networks Controller Design -- 4.4 Simulation Results -- 4.5 Conclusion -- References -- 5 Adaptive Fuzzy Control for IM Stochastic Nonlinear Systems Based on CFC -- 5.1 Introduction -- 5.2 The IM Drive Systems Mathematical Model -- 5.3 Adaptive Fuzzy Control Based on CFC for IM Stochastic ... -- 5.4 Simulation Results -- 5.5 Conclusion -- References -- 6 Adaptive Fuzzy Dynamic Surface Control for IM with Iron Losses -- 6.1 Introduction -- 6.2 Mathematical Model and Preliminaries -- 6.3 Adaptive Fuzzy DSC Design with Backstepping -- 6.4 A Comparison with the Traditional Adaptive Fuzzy Backstepping Design -- 6.5 Simulation -- 6.6 Conclusion -- References -- Part II Permanent Magnet Synchronous Motor (PMSM) -- 7 Adaptive Fuzzy Tracking Control for a PMSM via Backstepping Approach -- 7.1 Introduction. 327 $a7.2 Mathematical Model of the PMSM Drive System and Preliminaries -- 7.3 Adaptive Fuzzy Controller with the Backstepping Technique -- 7.4 A Comparison with the Conventional Backstepping Design -- 7.4.1 Conventional Backstepping Design -- 7.4.2 Simulation -- 7.5 Conclusion -- References -- 8 Adaptive Fuzzy Backstepping Position Tracking Control for PMSM -- 8.1 Introduction -- 8.2 Mathematical Model of the PMSM Drive System and Preliminaries -- 8.3 Adaptive Fuzzy Controller with the Backstepping Technique -- 8.4 A Comparison with the Conventional Backstepping Design -- 8.4.1 Conventional Backstepping Design -- 8.4.2 Simulation -- 8.5 Conclusion -- References -- 9 Neural Networks-Based Adaptive DSC for PMSM -- 9.1 Introduction -- 9.2 Mathematical Model of the PMSM Drive System and Preliminaries -- 9.3 Adaptive Dynamic Surface Control for PMSM -- 9.4 A Comparison with the Classical Backstepping Design -- 9.4.1 Classical Backstepping Design -- 9.4.2 Simulation Results -- 9.5 Conclusion -- References -- 10 Discrete-Time Adaptive Position Tracking Control for IPMSM -- 10.1 Introduction -- 10.2 Mathematical Model of the IPMSM Drive System and Preliminaries -- 10.3 Discrete-Time Fuzzy Control for IPMSM -- 10.4 Simulation Results -- 10.5 Conclusion -- References -- 11 Adaptive Fuzzy Tracking Control for the Chaotic PMSM Drive System -- 11.1 Introduction -- 11.2 Mathematical Model of Chaotic PMSM Drive System and Preliminaries -- 11.3 Adaptive Fuzzy Controller with the Backstepping Technique -- 11.4 Simulation Results -- 11.4.1 Classical Backstepping Design -- 11.4.2 Simulation -- 11.5 Conclusion -- References -- 12 Fuzzy-Approximation-Based Adaptive Control of the Chaotic PMSM -- 12.1 Introduction -- 12.2 Mathematical Model of Chaotic PMSM Drive System and Preliminaries -- 12.3 Adaptive Fuzzy Controller with the Backstepping Technique. 327 $a12.4 Simulation Results -- 12.4.1 Classical Backstepping Design -- 12.4.2 Simulation -- 12.5 Conclusion -- References -- Part III Summary -- 13 Conclusion and Further Work -- 13.1 Conclusion -- 13.2 Further Work. 330 $aThis book focuses on the intelligent control design for both the induction motor (IM) and the permanent magnet synchronous motor (PMSM). Compared with traditional control schemes, such as the field-oriented control (FOC) and the direct torque control (DTC), the intelligent controllers designed in this book could overcome the influence of parameter uncertainty and load torque disturbance. This book is a research monograph, which provides valuable reference material for researchers who wish to explore the area of AC motor. In addition, the main contents of the book are also suitable for a one-semester graduate course. . 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v349 606 $aAutomatic control 606 $aPower electronics 606 $aComputational intelligence 606 $aElectric machinery 606 $aControl and Systems Theory 606 $aPower Electronics 606 $aComputational Intelligence 606 $aElectrical Machines 615 0$aAutomatic control. 615 0$aPower electronics. 615 0$aComputational intelligence. 615 0$aElectric machinery. 615 14$aControl and Systems Theory. 615 24$aPower Electronics. 615 24$aComputational Intelligence. 615 24$aElectrical Machines. 676 $a621.46 700 $aYu$b Jinpeng$01228010 702 $aShi$b Peng$f1958- 702 $aLiu$b Jiapeng 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484359703321 996 $aIntelligent backstepping control for the alternating-current drive systems$92851010 997 $aUNINA