Spacecraft Attitude Control: A Linear Matrix Inequality Approach solves problemsfor spacecraft attitude control systems using convex optimization and, specifi cally,through a linear matrix inequality (LMI) approach. High-precision pointing and improvedrobustness in the face of external disturbances and other uncertainties are requirementsfor the current generation of spacecraft. This book presents an LMI approach to spacecraftattitude control and shows that all uncertainties in the maneuvering process can besolved numerically. It explains how a model-like state space can be developed through amathematical presentation of attitude control systems, allowing the controller in question tobe applied universally. The authors describe a wide variety of novel and robust controllers,applicable both to spacecraft attitude control and easily extendable to second-ordersystems. Spacecraft Attitude Control provides its readers with an accessible introductionto spacecraft attitude control and robust systems, giving an extensive survey of currentresearch and helping researchers improve robust control performance.
1. Chapter 1. Introduction of basic knowledge - p. 1 2. Abstract - p. 1 3. 1.1 Linear matrix inequalities - p. 1 4. 1.2 Spacecraft attitude kinematics and dynamics - p. 21 5. References - p. 34 6. Chapter 2. State feedback nonfragile control - p. 37 7. Chapter 3. Dynamic output feedback nonfragile control - p. 63 8. Abstract - p. 63 9. 3.1 Introduction - p. 63 10. 3.2 Problem formulation - p. 65 11. 3.3 Dynamic output feedback nonfragile control law design - p. 71 12. 3.4 Simulation test - p. 87 13. 3.5 Conclusions - p. 105 14. References - p. 105 15. Chapter 4. Observer-based fault tolerant delayed control - p. 107 16. Abstract - p. 107 17. 4.1 Introduction - p. 107 18. 4.2 Problem formulation - p. 110 19. 4.3 Observer-based fault tolerant control scheme - p. 113 20. 4.4 Simulation test - p. 127 21. 4.5 Conclusions - p. 136 22. References - p. 136 23. Chapter 5. Observer-based fault tolerant nonfragile control - p. 139 24. Abstract - p. 139 25. 5.1 Introduction - p. 139 26. 5.2 Problem formulation - p. 142 27. 5.3 Feasible solution for both cases - p. 148 28. 5.4 Simulation test - p. 156 29. 5.5 Conclusions - p. 173 30. References - p. 173 31. Chapter 6. Disturbance observer-based control with input MRCs - p. 177 32. Improved mixed H2/H∞ control with poles assignment constraint - p. 205 33. Nonfragile H∞ control with input constraints - p. 233 34. Abstract - p. 233 35. 8.1 Introduction - p. 233 36. 8.2 Problem formulation - p. 236 37. 8.3 Nonfragile H∞ control law - p. 246 38. 8.4 Simulation test - p. 252 39. 8.5 Conclusions - p. 279 40. References - p. 280 41. Chapter 9. Antidisturbance control with active vibration suppression - p. 283 42. Abstract - p. 283 43. 9.1 Introduction - p. 283 44. 9.2 Problem formulation - p. 285 45. 9.3 Antidisturbance control law with input magnitude, and rate constraints - p. 293 46. 9.4 Simulation test - p. 309 47. 9.5 Conclusions - p. 320 48. References - p. 320 49. Chapter 10. Chaotic attitude tracking control - p. 323 50. Chapter 11. Underactuated chaotic attitude stabilization control - p. 337 51. Index - p. 361
Spacecraft Attitude Control: A Linear Matrix Inequality Approach solves problemsfor spacecraft attitude control systems using convex optimization and, specifi cally,through a linear matrix inequality (LMI) approach. High-precision pointing and improvedrobustness in the face of external disturbances and other uncertainties are requirementsfor the current generation of spacecraft. This book presents an LMI approach to spacecraftattitude control and shows that all uncertainties in the maneuvering process can besolved numerically. It explains how a model-like state space can be developed through amathematical presentation of attitude control systems, allowing the controller in question tobe applied universally. The authors describe a wide variety of novel and robust controllers,applicable both to spacecraft attitude control and easily extendable to second-ordersystems. Spacecraft Attitude Control provides its readers with an accessible introductionto spacecraft attitude control and robust systems, giving an extensive survey of currentresearch and helping researchers improve robust control performance.
1. Chapter 1. Introduction of basic knowledge - p. 1 2. Abstract - p. 1 3. 1.1 Linear matrix inequalities - p. 1 4. 1.2 Spacecraft attitude kinematics and dynamics - p. 21 5. References - p. 34 6. Chapter 2. State feedback nonfragile control - p. 37 7. Chapter 3. Dynamic output feedback nonfragile control - p. 63 8. Abstract - p. 63 9. 3.1 Introduction - p. 63 10. 3.2 Problem formulation - p. 65 11. 3.3 Dynamic output feedback nonfragile control law design - p. 71 12. 3.4 Simulation test - p. 87 13. 3.5 Conclusions - p. 105 14. References - p. 105 15. Chapter 4. Observer-based fault tolerant delayed control - p. 107 16. Abstract - p. 107 17. 4.1 Introduction - p. 107 18. 4.2 Problem formulation - p. 110 19. 4.3 Observer-based fault tolerant control scheme - p. 113 20. 4.4 Simulation test - p. 127 21. 4.5 Conclusions - p. 136 22. References - p. 136 23. Chapter 5. Observer-based fault tolerant nonfragile control - p. 139 24. Abstract - p. 139 25. 5.1 Introduction - p. 139 26. 5.2 Problem formulation - p. 142 27. 5.3 Feasible solution for both cases - p. 148 28. 5.4 Simulation test - p. 156 29. 5.5 Conclusions - p. 173 30. References - p. 173 31. Chapter 6. Disturbance observer-based control with input MRCs - p. 177 32. Improved mixed H2/H∞ control with poles assignment constraint - p. 205 33. Nonfragile H∞ control with input constraints - p. 233 34. Abstract - p. 233 35. 8.1 Introduction - p. 233 36. 8.2 Problem formulation - p. 236 37. 8.3 Nonfragile H∞ control law - p. 246 38. 8.4 Simulation test - p. 252 39. 8.5 Conclusions - p. 279 40. References - p. 280 41. Chapter 9. Antidisturbance control with active vibration suppression - p. 283 42. Abstract - p. 283 43. 9.1 Introduction - p. 283 44. 9.2 Problem formulation - p. 285 45. 9.3 Antidisturbance control law with input magnitude, and rate constraints - p. 293 46. 9.4 Simulation test - p. 309 47. 9.5 Conclusions - p. 320 48. References - p. 320 49. Chapter 10. Chaotic attitude tracking control - p. 323 50. Chapter 11. Underactuated chaotic attitude stabilization control - p. 337 51. Index - p. 361
