- Cover
- Title Page
- Copyright
- Introduction
- Chapter 1: Self-controlled Synchronous Motor: Principles of Function and Simplified Control Model
- 1.1. Introduction
- 1.2. Design aspects specific to the self-controlled synchronous machine
- 1.3. Simplified model for the study of steady state operation
- 1.4. Study of steady-state operation
- 1.5. Operation at nominal speed, voltage and current
- 1.6. Operation with a torque smaller than the nominal torque
- 1.7. Operation with a speed below the nominal speed
- 1.8. Running as a generator
- 1.9. Equivalence of a machine with a commutator and brushes
- 1.10. Equations inferred from the theory of circuits with sliding contacts
- 1.11. Evaluation of alternating currents circulating in steady state in the damper windings
- 1.12. Transposition of the study to the case of a negative rotational speed
- 1.13. Variant of the base assembly
- 1.14. Conclusion
- 1.15. List of the main symbols used
- 1.16. Bibliography
- Chapter 2: Self-controlled Synchronous Motor: Dynamic Model Including the Behavior of Damper Windings and Commutation Overlap
- 2.1. Introduction
- 2.2. Choice of the expression of Nk
- 2.3. Expression of fluxes
- 2.4. General properties of coefficients <X>, <Y> and <Z>
- 2.5. Electrical dynamic equations
- 2.6. Expression of electromechanical variables
- 2.7. Expression of torque
- 2.8. Writing of equations in terms of coenergy
- 2.9. Application to control
- 2.10. Conclusion
- 2.11. Appendix 1: value of coefficients <X>, <Y> and <Z>
- 2.12. Appendix 2: derivatives of coefficients <X>, <Y> and <Z>
- 2.13. Appendix 3: simplifications for small μ
- 2.14. Appendix 4 – List of the main symbols used in Chapters 1 and 2
- 2.15. Bibliography
- Chapter 3: Synchronous Machines in Degraded Mode
- 3.1. General introduction
- 3.2. Analysis of the main causes of failure
- 3.3. Reliability of a permanent magnet synchronous motors drive
- 3.4. Conclusion
- 3.5. Optimal supplies of permanent magnet synchronous machines in the presence of faults
- 3.6. Supplies of faulty synchronous machines with non-sinusoidal back electromagnetic force
- 3.6.1. Generalization of the modeling
- 3.6.2. A heuristic approach to the solution
- 3.6.3. First optimization of ohmic losses without constraint on the homopolar current
- 3.6.4. Second optimization of ohmic losses with the sum of currents of non-faulty phases being zero
- 3.6.5. Third optimization of ohmic losses with a homopolar current of zero (in all phases)
- 3.6.6. Global formulations
- 3.6.6.1. Case 1: a fault current with independent phases
- 3.6.6.2. Case 2: a fault current that is independent of other phase currents, with a homopolar current of 0 on n − 1 phases
- 3.6.6.3. Case 3: a fault current independent of the other phase currents, with homopolar current of 0 on n phases
- 3.6.6.4. Application to a five-phase machine and independent phases with two phases in open circuit
- 3.6.6.5. Application to a non-sinusoidal five-phase machine with a phase in open circuit
- 3.6.6.6. Application to a sinusoidal five-phase machine in the presence of saturation
- 3.6.6.7. Application to a five-phase machine with sinusoidal back emfs and phase a in short circuit
- 3.7. Experimental learning strategy in closed loop to obtain optimal currents in all cases
- 3.8. Simulation results
- 3.9. General conclusion
- 3.10. Glossary
- 3.11. Bibliography
- Chapter 4: Control of the Double-star Synchronous Machine Supplied by PWM Inverters
- 4.1. Introduction
- 4.2. Description of the electrical actuator
- 4.3. Basic equations
- 4.4. Dynamic models of the double-star synchronous machine
- 4.5. Control of the double-star synchronous machine
- 4.6. Bibliography
- Chapter 5: Vectorial Modeling and Control of Multiphase Machines with Non-salient Poles Supplied by an Inverter
- 5.1. Introduction and presentation of the electrical machines
- 5.2. Control model of inverter-fed permanent magnet synchronous machines
- 5.2.1. Characteristic spaces and generalization of the notion of an equivalent two-phase machine
- 5.2.2. The inverter seen from the machine
- 5.3. Torque control of multiphase machines
- 5.3.1. Control of currents in the natural basis
- 5.3.2. Control of currents in a decoupling basis
- 5.4. Modeling and torque control of multiphase machines in degraded supply mode
- 5.5. Bibliography
- Chapter 6: Hybrid Excitation Synchronous Machines
- Chapter 7: Advanced Control of the Linear Synchronous Motor
- 7.1. Introduction
- 7.1.1. Historical review and applications in the field of linear motors
- 7.1.2. Presentation of linear synchronous motors
- 7.1.3. Technology of linear synchronous motors
- 7.1.4. Linear motor models using sinusoidal magneto-motive force assumption
- 7.1.5. Causal ordering graph representation
- 7.1.6. Advanced modeling of linear synchronous motors
- 7.2. Classical control of linear motors
- 7.3. Advanced control of linear motors
- 7.4. Conclusion
- 7.5. Nomenclature
- 7.6. Acknowledgment
- 7.7. Bibliography
- 7.8. Appendix: LMD10-050 Datasheet of ETEL
- 7.1. Introduction
- Chapter 8: Variable Reluctance Machines: Modeling and Control
- Chapter 9: Control of the Stepping Motor
- 9.1. Introduction
- 9.2. Modeling
- 9.3. Control in open loop
- 9.4. Controls in closed loop
- 9.5. Advanced control: the control of chaos
- 9.6. Bibliography
- Chapter 10: Control of Piezoelectric Actuators
- 10.1. Introduction
- 10.2. Causal model in the supplied voltage referential
- 10.3. Causal model in the referential of the traveling wave
- 10.4. Control based on a behavioral model
- 10.5. Controls based on a knowledge model
- 10.6. Conclusion
- 10.7. Bibliography
- List of Authors
- Index
Index
A, B, C
absolute stability (theory of)
acceleration
analytical model
armature circuit
bang-bang control
causal ordering graph
coenergy
cogging torque
continuous mode
control of chaos
coupling
current
control
inverter
D, E, F
damper
diagonalization
dimensionless
double star synchronous machine
driving zone
emf
failure
Feigenbaum diagram
flux
weakening
folding
H, I, L
holding torque
hybrid
excitation synchronous machine (HESM)
stepping motor
hypertorus
hysteresis control
induction machine
inverter
iterative learning
linear
control
motor
M, N, O
maximum torque control
microstep
Naslin polynomial
neural network
open loop control
optimal control
overlap
overshoot
P, R
permanent magnet
motor
stepping motor
synchronous motor
perturbation torque
Poincaré section
pull out
Pyraguas control
resonance
resonant controller
S, T, V
saturation
self-controlled
synchronous machine
self-similarity
sliding
space vector
speed profile
stepping motor
strange attractor
switched reluctance motors (SRM)
synchronous
actuator
machine
motor
torque
transformation matrix
vector control
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