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HVAC Control Systems

Book Description

This important new book bridges the gap between works on classical control and process control, and those dealing with HVAC control at a more elementary level, which generally adopt a qualitative and descriptive control. Both advanced level students and specialist practitioners will welcome the in-depth analytical treatment of the subject presented in this volume. Of particular significance are the current developments in adaptive control, robust control, artificial neural networks and fuzzy logic systems, all of which are given a thorough analytical treatment in the book.

  • First book to provide an analytical treatment of subject
  • Covers all new developments in HVAC control systems
  • Looks at systems both in the UK and abroad

Table of Contents

  1. Cover
  2. Title page
  3. Copyright page
  4. Dedication page
  5. Contents
  6. Preface
  7. Acknowledgements
  8. 1 HVAC control systems
  9. 1.1 Basic concepts
  10. 1.2 HVAC control strategies
  11. 1.3 Distributed control
  12. 1.4 System configuration
  13. References
  14. 2 Device technology
  15. 2.1 Sensors
  16. 2.2 Control elements
  17. 2.3 PID (proportional/integral/derivative) controllers
  18. References
  19. 3 System modelling
  20. 3.1 Simple room modelling for control analysis
  21. 3.2 Accounting for fabric in room modelling
  22. 3.3 Heat emitter and non-linear modelling
  23. 3.4 A coupled room and emitter model
  24. 3.5 Component modelling
  25. References
  26. 4 System stability
  27. 4.1 Feedback control
  28. 4.2 Stability tests
  29. 4.3 Feedforward control
  30. 4.4 Model reduction
  31. References
  32. 5 Discrete-time systems
  33. 5.1 The z-transform
  34. 5.2 Representing discrete-time systems
  35. 5.3 Stability tests in discrete-time systems
  36. 5.4 The sampling interval
  37. 5.5 Digital control algorithms
  38. References
  39. 6 Multivariable control
  40. 6.1 State-space representation of systems
  41. 6.2 The transfer function matrix
  42. 6.3 The multivariable control problem
  43. 6.4 Design of multivariable compensators
  44. References
  45. 7 System identification and controller tuning
  46. 7.1 System identification
  47. 7.2 Assessing the quality of response
  48. 7.3 Fixed-parameter controller tuning methods
  49. References
  50. 8 Adaptive control
  51. 8.1 Adaptive controllers
  52. 8.2 Direct and indirect adaptive control algorithms
  53. 8.3 Model-reference adaptive control
  54. 8.4 Gain scheduling
  55. 8.5 Progress in HVAC adaptive control
  56. References
  57. 9 Advanced methods
  58. 9.1 Robust control
  59. 9.2 Expert systems
  60. 9.3 Fuzzy logic control
  61. 9.4 Artificial neural networks
  62. References
  63. Index