Autonomous Electric Vehicles: Nonlinear Control, Traction, and Propulsion
Autonomous Electric Vehicles explores cutting-edge technologies revolutionizing transportation and city navigation. Novel solutions to the control problem of the complex nonlinear dynamics of robotized electric vehicles are developed and tested. The new control methods are free of shortcomings met i...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Elsevier Science & Technology
2025
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| Schlagworte: | |
| Zusammenfassung: | Autonomous Electric Vehicles explores cutting-edge technologies revolutionizing transportation and city navigation. Novel solutions to the control problem of the complex nonlinear dynamics of robotized electric vehicles are developed and tested. The new control methods are free of shortcomings met in control schemes which are based on diffeomorphisms and global linearization (complicated changes of state variables, forward and backwards state-space transformations, singularities). It is shown that such methods can be used in the steering and traction system of several types of robotized electric vehicles without needing to transform the state-space model of these systems into equivalent linearized forms. It is also shown that the new control methods can be implemented in a computationally simple manner and are also followed by global stability proofs |
| Beschreibung: | Part I. Control and estimation of robotized vehicles’ dynamics and kinematics; 1. Nonlinear optimal control and Lie algebra-based control; 2. Flatness-based control in successive loops for complex nonlinear dynamical systems; 3. Nonlinear optimal control for car-like front-wheel steered autonomous ground vehicles; 4. Nonlinear optimal control for skid-steered autonomous ground vehicles; 5. Flatness-based control in successive loops for 3-DOF unmanned surface vessels; 6. Flatness-based control in successive loops for 3-DOF autonomous underwater vessels; 7. Flatness-based control in successive loops for 6-DOF autonomous underwater vessels; 8. Flatness-based control in successive loops for 6-DOF autonomous quadrotors; 9. Flatness-based control in successive loops for 6-DOF autonomous octocopters; 10. Nonlinear optimal control for 6-DOF tilt rotor autonomous quadrotors; 11. Flatness-based adaptive neurofuzzy control of the four-wheel autonomous ground vehicles; 12. - H-infinity adaptive neurofuzzy control of the four-wheel autonomous ground vehicles; 13. Fault diagnosis for four-wheel autonomous ground vehicles; Part II. Control and estimation of electric autonomous vehicles’ traction ; 14. Flatness-based control in successive loops for VSI-fed three-phase permanent magnet synchronous motors; 15. Flatness-based control in successive loops for VSI-fed three-phase induction motors; 16. Flatness-based control in successive loops and nonlinear optimal control for five-phase permanent magnet synchronous motors; 17. Flatness-based control in successive loops for VSI-fed six-phase asynchronous motors; 18. Flatness-based control in successive lops for nine-phase permanent magnet synchronous motors; 19. Flatness-based control in successive loops of a vehicle’s clutch with actuation for permanent magnet linear synchronous motors; 20. Flatness-based control in successive loops for electrohydraulic actuators; 21. - Flatness-based control in successive loops for electropneumatic actuators; 22. Flatness-based adaptive neurofuzzy control of three-phase permanent magnet synchronous motors; 23. H-infinity adaptive neurofuzzy control of three-phase permanent magnet synchronous motors; 24. Fault diagnosis of a hybrid electric vehicle’s powertrain |
| Beschreibung: | 229 mm |
| ISBN: | 9780443288548 |
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| 500 | |a Part I. Control and estimation of robotized vehicles’ dynamics and kinematics; 1. Nonlinear optimal control and Lie algebra-based control; 2. Flatness-based control in successive loops for complex nonlinear dynamical systems; 3. Nonlinear optimal control for car-like front-wheel steered autonomous ground vehicles; 4. Nonlinear optimal control for skid-steered autonomous ground vehicles; 5. Flatness-based control in successive loops for 3-DOF unmanned surface vessels; 6. Flatness-based control in successive loops for 3-DOF autonomous underwater vessels; 7. Flatness-based control in successive loops for 6-DOF autonomous underwater vessels; 8. Flatness-based control in successive loops for 6-DOF autonomous quadrotors; 9. Flatness-based control in successive loops for 6-DOF autonomous octocopters; 10. Nonlinear optimal control for 6-DOF tilt rotor autonomous quadrotors; 11. Flatness-based adaptive neurofuzzy control of the four-wheel autonomous ground vehicles; 12. | ||
| 500 | |a - H-infinity adaptive neurofuzzy control of the four-wheel autonomous ground vehicles; 13. Fault diagnosis for four-wheel autonomous ground vehicles; Part II. Control and estimation of electric autonomous vehicles’ traction ; 14. Flatness-based control in successive loops for VSI-fed three-phase permanent magnet synchronous motors; 15. Flatness-based control in successive loops for VSI-fed three-phase induction motors; 16. Flatness-based control in successive loops and nonlinear optimal control for five-phase permanent magnet synchronous motors; 17. Flatness-based control in successive loops for VSI-fed six-phase asynchronous motors; 18. Flatness-based control in successive lops for nine-phase permanent magnet synchronous motors; 19. Flatness-based control in successive loops of a vehicle’s clutch with actuation for permanent magnet linear synchronous motors; 20. Flatness-based control in successive loops for electrohydraulic actuators; 21. | ||
| 500 | |a - Flatness-based control in successive loops for electropneumatic actuators; 22. Flatness-based adaptive neurofuzzy control of three-phase permanent magnet synchronous motors; 23. H-infinity adaptive neurofuzzy control of three-phase permanent magnet synchronous motors; 24. Fault diagnosis of a hybrid electric vehicle’s powertrain | ||
| 520 | |a Autonomous Electric Vehicles explores cutting-edge technologies revolutionizing transportation and city navigation. Novel solutions to the control problem of the complex nonlinear dynamics of robotized electric vehicles are developed and tested. The new control methods are free of shortcomings met in control schemes which are based on diffeomorphisms and global linearization (complicated changes of state variables, forward and backwards state-space transformations, singularities). It is shown that such methods can be used in the steering and traction system of several types of robotized electric vehicles without needing to transform the state-space model of these systems into equivalent linearized forms. It is also shown that the new control methods can be implemented in a computationally simple manner and are also followed by global stability proofs | ||
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| 700 | 1 | |a Abbaszadeh, Masoud |e Sonstige |4 oth | |
| 700 | 1 | |a Siano, Pierluigi |e Sonstige |4 oth | |
| 700 | 1 | |a Wira, Patrice |e Sonstige |4 oth | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035484846 | |
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| indexdate | 2025-01-31T23:00:09Z |
| institution | BVB |
| isbn | 9780443288548 |
| language | English |
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| physical | 229 mm |
| publishDate | 2025 |
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| spelling | Rigatos, Gerasimos Verfasser aut Autonomous Electric Vehicles Nonlinear Control, Traction, and Propulsion Elsevier Science & Technology 2025 229 mm txt rdacontent n rdamedia nc rdacarrier Part I. Control and estimation of robotized vehicles’ dynamics and kinematics; 1. Nonlinear optimal control and Lie algebra-based control; 2. Flatness-based control in successive loops for complex nonlinear dynamical systems; 3. Nonlinear optimal control for car-like front-wheel steered autonomous ground vehicles; 4. Nonlinear optimal control for skid-steered autonomous ground vehicles; 5. Flatness-based control in successive loops for 3-DOF unmanned surface vessels; 6. Flatness-based control in successive loops for 3-DOF autonomous underwater vessels; 7. Flatness-based control in successive loops for 6-DOF autonomous underwater vessels; 8. Flatness-based control in successive loops for 6-DOF autonomous quadrotors; 9. Flatness-based control in successive loops for 6-DOF autonomous octocopters; 10. Nonlinear optimal control for 6-DOF tilt rotor autonomous quadrotors; 11. Flatness-based adaptive neurofuzzy control of the four-wheel autonomous ground vehicles; 12. - H-infinity adaptive neurofuzzy control of the four-wheel autonomous ground vehicles; 13. Fault diagnosis for four-wheel autonomous ground vehicles; Part II. Control and estimation of electric autonomous vehicles’ traction ; 14. Flatness-based control in successive loops for VSI-fed three-phase permanent magnet synchronous motors; 15. Flatness-based control in successive loops for VSI-fed three-phase induction motors; 16. Flatness-based control in successive loops and nonlinear optimal control for five-phase permanent magnet synchronous motors; 17. Flatness-based control in successive loops for VSI-fed six-phase asynchronous motors; 18. Flatness-based control in successive lops for nine-phase permanent magnet synchronous motors; 19. Flatness-based control in successive loops of a vehicle’s clutch with actuation for permanent magnet linear synchronous motors; 20. Flatness-based control in successive loops for electrohydraulic actuators; 21. - Flatness-based control in successive loops for electropneumatic actuators; 22. Flatness-based adaptive neurofuzzy control of three-phase permanent magnet synchronous motors; 23. H-infinity adaptive neurofuzzy control of three-phase permanent magnet synchronous motors; 24. Fault diagnosis of a hybrid electric vehicle’s powertrain Autonomous Electric Vehicles explores cutting-edge technologies revolutionizing transportation and city navigation. Novel solutions to the control problem of the complex nonlinear dynamics of robotized electric vehicles are developed and tested. The new control methods are free of shortcomings met in control schemes which are based on diffeomorphisms and global linearization (complicated changes of state variables, forward and backwards state-space transformations, singularities). It is shown that such methods can be used in the steering and traction system of several types of robotized electric vehicles without needing to transform the state-space model of these systems into equivalent linearized forms. It is also shown that the new control methods can be implemented in a computationally simple manner and are also followed by global stability proofs bicssc bisacsh Abbaszadeh, Masoud Sonstige oth Siano, Pierluigi Sonstige oth Wira, Patrice Sonstige oth |
| spellingShingle | Rigatos, Gerasimos Autonomous Electric Vehicles Nonlinear Control, Traction, and Propulsion bicssc bisacsh |
| title | Autonomous Electric Vehicles Nonlinear Control, Traction, and Propulsion |
| title_auth | Autonomous Electric Vehicles Nonlinear Control, Traction, and Propulsion |
| title_exact_search | Autonomous Electric Vehicles Nonlinear Control, Traction, and Propulsion |
| title_full | Autonomous Electric Vehicles Nonlinear Control, Traction, and Propulsion |
| title_fullStr | Autonomous Electric Vehicles Nonlinear Control, Traction, and Propulsion |
| title_full_unstemmed | Autonomous Electric Vehicles Nonlinear Control, Traction, and Propulsion |
| title_short | Autonomous Electric Vehicles |
| title_sort | autonomous electric vehicles nonlinear control traction and propulsion |
| title_sub | Nonlinear Control, Traction, and Propulsion |
| topic | bicssc bisacsh |
| topic_facet | bicssc bisacsh |
| work_keys_str_mv | AT rigatosgerasimos autonomouselectricvehiclesnonlinearcontroltractionandpropulsion AT abbaszadehmasoud autonomouselectricvehiclesnonlinearcontroltractionandpropulsion AT sianopierluigi autonomouselectricvehiclesnonlinearcontroltractionandpropulsion AT wirapatrice autonomouselectricvehiclesnonlinearcontroltractionandpropulsion |