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E-grāmata: Direct Eigen Control for Induction [Wiley Online]

  • Formāts: 286 pages
  • Sērija : IEEE Press
  • Izdošanas datums: 09-Nov-2012
  • Izdevniecība: Wiley-IEEE Press
  • ISBN-10: 1118460642
  • ISBN-13: 9781118460641
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  • Wiley Online
  • Cena: 152,77 €*
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Direct Eigen Control for InductionPalielināt
  • Formāts: 286 pages
  • Sērija : IEEE Press
  • Izdošanas datums: 09-Nov-2012
  • Izdevniecība: Wiley-IEEE Press
  • ISBN-10: 1118460642
  • ISBN-13: 9781118460641
Citas grāmatas par šo tēmu:
Wiley Online E-booksMore info about Wiley Online
Rokasgrāmatas mājas lapa: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118460641
Clear presentation of a new control process applied to induction machine (IM), surface mounted permanent magnet synchronous motor (SMPM-SM) and interior permanent magnet synchronous motor (IPM-SM)

Direct Eigen Control for Induction Machines and Synchronous Motors provides a clear and consise explanation of a new method in alternating current (AC) motor control. Unlike similar books on the market, it does not present various control algorithms for each type of AC motor but explains one method designed to control all AC motor types: Induction Machine (IM), Surface Mounted Permanent Magnet Synchronous Motor (SMPM-SM) (i.e. Brushless) and Interior Permanent Magnet Synchronous Motor (IPM-SM). This totally new control method can be used not only for AC motor control but also to control input filter current and voltage of an inverter feeding an AC motor.





Accessible and clear, describes a new fast type of motor control applied to induction machine (IM), surface mounted permanent magnet synchronous motor (SM-PMSM) and interior permanent magnet synchronous motor (I-PMSM) with various examples Summarizes a method that supersedes the two known direct control solutions Direct Self Control and Direct Torque Control to be used for AC motor control and to control input filter current and voltage of an inverter feeding an AC motor Presents comprehensive simulations that are easy for the reader to reproduce on a computer. A control program is hosted on a companion website

This book is straight-forward with clear mathematical description. It presents simulations in a way that is easy to understand and to reproduce on a computer, whilst omitting details of practical hardware implementation of control, in order for the main theory to take focus. The book remains concise by leaving out description of sensorless controls for all motor types. The sections on Control Process, Real Time Implementation and Kalman Filter Observer and Prediction in the introductory chapters explain how to practically implement, in real time, the discretized control with all three types of AC motors. In order, this book describes induction machine, SMPM-SM, IPM-SM, and, application to LC filter limitations. The appendixes present: PWM vector calculations; transfer matrix calculation; transfer matrix inversion; Eigen state space vector calculation; and, transition and command matrix calculation.

Essential reading for Researchers in the field of drive control; graduate and post-graduate students studying electric machines; electric engineers in the field of railways, electric cars, plane surface control, military applications. The approach is also valuable for Engineers in the field of machine tools, robots and rolling mills.
Foreword xiii
Dr Ing. Jean-Luc Thomas
Foreword xv
Dr Abdelkrim Benchaib
Acknowledgements xvii
Introduction xix
1 Induction Machine
1(64)
1.1 Electrical Equations and Equivalent Circuits
1(8)
1.1.1 Definitions and Notation
1(1)
1.1.2 Equivalent Electrical Circuits
2(2)
1.1.3 Differential Equation System
4(2)
1.1.4 Interpretation of Electrical Relations
6(3)
1.2 Working out the State-Space Equation System
9(13)
1.2.1 State-Space Equations in the Fixed Plane
11(3)
1.2.2 State-Space Equations in the Complex Plane
14(1)
1.2.3 Complex State-Space Equation Discretization
15(2)
1.2.4 Evolution Matrix Diagonalization
17(1)
1.2.4.1 Eigenvalues
17(1)
1.2.4.2 Transfer Matrix Algebraic Calculation
18(1)
1.2.4.3 Transfer Matrix Inversion
19(1)
1.2.5 Projection of State-Space Vectors in the Eigenvector Basis
20(2)
1.3 Discretized State-Space Equation Inversion
22(9)
1.3.1 Introduction of the Rotating Frame
22(1)
1.3.2 State-Space Vector Calculations in the Eigenvector Basis
23(7)
1.3.3 Control Calculation - Eigenstate-Space Equation System Inversion
30(1)
1.4 Control
31(32)
1.4.1 Constitution of the Set-Point State-Space Vector
31(2)
1.4.2 Constitution of the Initial State-Space Vector
33(1)
1.4.3 Control Process
33(1)
1.4.3.1 Real-Time Implementation
33(2)
1.4.3.2 Measure Filtering
35(1)
1.4.3.3 Transition and Input Matrix Calculations
36(1)
1.4.3.4 Kalman Filter, Observation and Prediction
36(2)
1.4.3.5 Summary of Measurement, Filtering and Prediction
38(3)
1.4.4 Limitations
41(1)
1.4.4.1 Voltage Limitation
41(3)
1.4.4.2 Current Limitation
44(1)
1.4.4.3 Operating Area and Limits
44(1)
1.4.4.4 Set-Point Limit Algebraic Calculations
44(10)
1.4.5 Example of Implementation
54(1)
1.4.5.1 Adjustment of Flux and Torque - Limitations in Traction Operation
55(2)
1.4.5.2 Adjustment of Flux and Torque - Limitations in Electrical Braking
57(2)
1.4.5.3 Free Evolution - Short-Circuit Torque
59(4)
1.5 Conclusion on the Induction Machine Control
63(2)
2 Surface-Mounted Permanent-Magnet Synchronous Motor
65(56)
2.1 Electrical Equations and Equivalent Circuit
66(3)
2.1.1 Definitions and Notations
66(1)
2.1.2 Equivalent Electrical Circuit
66(2)
2.1.3 Differential Equation System
68(1)
2.2 Working out the State-Space Equation System
69(7)
2.2.1 State-Space Equations in the Fixed Plane
69(2)
2.2.2 State-Space Equations in the Complex Plane
71(1)
2.2.3 Complex State-Space Equation Discretization
72(1)
2.2.4 Evolution Matrix Diagonalization
73(1)
2.2.4.1 Eigenvalues
73(1)
2.2.4.2 Transfer Matrix Calculation
73(1)
2.2.4.3 Transfer Matrix Inversion
74(1)
2.2.5 Projection of State-Space Vectors in the Eigenvector Basis
75(1)
2.3 Discretized State-Space Equation Inversion
76(8)
2.3.1 Introduction of the Rotating Frame
76(1)
2.3.2 State-Space Vector Calculations in the Eigenvector Basis
76(6)
2.3.3 Control Computation - Eigenstate-Space Equation Inversion
82(2)
2.4 Control
84(34)
2.4.1 Constitution of the Set-Point State-Space Vector
84(1)
2.4.2 Constitution of the Initial State-Space Vector
85(1)
2.4.3 Control Process
86(1)
2.4.3.1 Real-Time Implementation
86(2)
2.4.3.2 Measure Filtering
88(1)
2.4.3.3 Transition and Control Matrix Calculations
88(1)
2.4.3.4 Kalman Filter, Observation and Prediction
89(2)
2.4.3.5 Summary of Measurement, Filtering and Prediction
91(3)
2.4.4 Limitations
94(1)
2.4.4.1 Voltage Limitation
95(3)
2.4.4.2 Current Limitation
98(1)
2.4.4.3 Operating Area and Limits
98(1)
2.4.4.4 Set-Point Limit Calculations
98(11)
2.4.5 Example of Implementation
109(1)
2.4.5.1 Adjustment of Torque - Limitations in Traction Operation
110(2)
2.4.5.2 Adjustment of Torque - Limitations in Electrical Braking
112(2)
2.4.5.3 Free Evolution - Short-Circuit Torque
114(4)
2.5 Conclusion on SMPM-SM
118(3)
3 Interior Permanent Magnet Synchronous Motor
121(70)
3.1 Electrical Equations and Equivalent Circuits
122(5)
3.1.1 Definitions and Notations
122(1)
3.1.2 Equivalent Electrical Circuits
123(1)
3.1.3 Differential Equation System
124(3)
3.2 Working out the State-Space Equation System
127(7)
3.2.1 State-Space Equations in the Fixed Plane
128(1)
3.2.2 State-Space Equations in the Complex Plane
129(1)
3.2.3 State-Space Equation Discretization
130(1)
3.2.4 Evolution Matrix Diagonalization
130(1)
3.2.4.1 Eigenvalues
130(2)
3.2.4.2 Transfer Matrix Calculation
132(1)
3.2.4.3 Transfer Matrix Inversion
133(1)
3.2.5 Projection of State-Space Vectors in the Eigenvector Basis
134(1)
3.3 Discretized State-Space Equation Inversion
134(9)
3.3.1 Rotating Reference Frame
134(1)
3.3.2 State-Space Vector Calculations in the Eigenvector Basis
135(4)
3.3.2.1 Calculation of Third and Fourth Coordinates of the State-Space Equation
139(1)
3.3.2.2 Calculation of the First and the Second Coordinate of the State-Space Eigenvector
140(1)
3.3.3 Control Calculation - Eigenstate-Space Equations Inversion
141(2)
3.4 Control
143(46)
3.4.1 Constitution of the Set-Point State-Space Vector
143(3)
3.4.2 Constitution of the Initial State-Space Vector
146(1)
3.4.3 Control Process
147(1)
3.4.3.1 Real-Time Implementation
147(2)
3.4.3.2 Measure Filtering
149(2)
3.4.3.3 Transition and Input Matrix Calculations
151(1)
3.4.3.4 Kalman Filter
152(3)
3.4.3.5 Summary of Measurement, Filtering and Prediction
155(3)
3.4.4 Limitations
158(1)
3.4.4.1 Voltage Limitation
159(7)
3.4.4.2 Current Limitation
166(2)
3.4.4.3 Operating Area and Limits
168(1)
3.4.4.4 Set-Point Limit Calculation
168(12)
3.4.5 Example of Implementation
180(1)
3.4.5.1 Adjustment of Torque - Limitations in Traction Mode
180(2)
3.4.5.2 Adjustment of Torque - Limitations in Electrical Braking
182(2)
3.4.5.3 Free Evolution - Short-Circuit Torque
184(5)
3.5 Conclusions on the IPM-SM
189(2)
4 Inverter Supply - LC Filter
191(22)
4.1 Electrical Equations and Equivalent Circuit
191(2)
4.1.1 Definitions and Notations
191(1)
4.1.2 Equivalent Electrical Circuit
192(1)
4.1.3 Differential Equation System
193(1)
4.2 Working out the State-Space Equation System
193(5)
4.2.1 State-Space Equations in a Fixed Frame
194(1)
4.2.2 State-Space Equations in the Complex Plane
195(1)
4.2.3 State-Space Equation Discretization
195(1)
4.2.4 Evolution Matrix Diagonalization
195(1)
4.2.4.1 Eigenvalues
195(2)
4.2.4.2 Transfer Matrix Calculation
197(1)
4.2.4.3 Transfer Matrix Inversion
198(1)
4.3 Discretized State-Space Equation Inversion
198(3)
4.3.1 Evolution Matrix Diagonalization
198(1)
4.3.2 State-Space Equation Discretization
198(1)
4.3.3 State-Space Vector Calculations in the Eigenvector Basis
199(2)
4.4 Control
201(10)
4.4.1 Constitution of the Set-Point State-Space Vector
201(1)
4.4.2 Constitution of the Initial State-Space Vector
202(1)
4.4.3 Inversion - Line Current Control by the Useful Current
202(2)
4.4.4 Inversion - Capacitor Voltage Control by the Useful Current
204(2)
4.4.5 General Case - Control by the Useful Current
206(2)
4.4.6 Example of Implementation
208(1)
4.4.6.1 Lack of Capacitor Voltage Stabilization
208(1)
4.4.6.2 Capacitor Voltage Stabilization
209(2)
4.5 Conclusions on Power LC Filter Stabilization
211(2)
5 Conclusion
213(4)
Appendix A Calculation of Vector PWM
217(8)
A.1 PWM Types
218(1)
A.2 Working out the Control Voltage Vector
218(3)
A.3 Other Examples of Vector PWM
221(3)
A.3.1 Unsymmetrical Vector PWM
221(1)
A.3.2 Symmetrical Triangular Wave Based PWM
222(1)
A.3.3 Synchronous PWM
223(1)
A.4 Sampled Shape of the Voltage and Current Waves
224(1)
Appendix B Transfer Matrix Calculation
225(8)
B.1 First Eigenvector Calculation
225(2)
B.2 Second Eigenvector Calculation
227(1)
B.3 Third Eigenvector Calculation
228(2)
B.4 Fourth Eigenvector Calculation
230(1)
B.5 Transfer Matrix Calculation
231(2)
Appendix C Transfer Matrix Inversion
233(6)
C.1 Transfer Matrix Determinant Calculation
234(1)
C.2 First Row, First Column
234(1)
C.3 First Row, Second Column
235(1)
C.4 First Row, Third Column
235(1)
C.5 First Row, Fourth Column
235(1)
C.6 Second Row, First Column
236(1)
C.7 Second Row, Second Column
236(1)
C.8 Second Row, Third Column
236(1)
C.9 Second Row, Fourth Column
237(1)
C.10 Third Row, First Column
237(1)
C.11 Third Row, Second Column
237(1)
C.12 Third Row, Third Column
237(1)
C.13 Third Row, Fourth Column
237(1)
C.14 Fourth Row, First Column
238(1)
C.15 Fourth Row, Second Column
238(1)
C.16 Fourth Row, Third Column
238(1)
C.17 Fourth Row, Fourth Column
238(1)
C.18 Inverse Transfer Matrix Calculation
238(1)
Appendix D State-Space Eigenvector Calculation
239(6)
Appendix E F and G Matrix Calculations
245(6)
E.1 Transition Matrix Calculation
245(4)
E.2 Discretized Input Matrix Calculation
249(2)
References 251(2)
Index 253
Alacoque was previously R&D manager at Alstom Traction in charge of product development in the field of telephone line insulation, traction motor control and wheel-rail adhension control. Prior to this he R&D manager of industrial electronic products for thermal controls and speed drives in CEM, Villeurbanne, then Technical Director of ACEP for power plant engineering. He later joined the R&D team of CORECI as manager for development of process control products. Jean Claude's research interests include discrete-time systems applied to machine control for railways traction during line voltage and wheel-rail adhesion disturbances and with voltage and current saturation. He has authored many technical papers and patents.
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