Environmental Control for Plants using Intelligent Control Systems

Inhaltsverzeichnis (Table of Contents)

• Introduction
  • Preliminaries
  • The greenhouse climate: characteristics and determinism
  • Research objectives
  • Outline of the thesis
• Background to fuzzy logic, Neural Networks, Optimizers, Greenhouses and Fault Detection/Isolation Systems
  • Preliminaries
  • Fuzzy Logic Systems and their Applications
    • Fuzzy sets and fuzzy logic
    • Architecture of fuzzy logic systems
      • Fuzzification interface
      • Knowledge base
      • Fuzzy approximate reasoning
      • Defuzzification interface
    • Fuzzy logic systems in control
      • Static fuzzy logic systems
      • Adaptive fuzzy logic systems
      • Features and applications of fuzzy logic systems
  • Adaptive control
  • Feedforward neural networks

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This thesis explores the development of intelligent control schemes for adjusting the climate within a greenhouse. The primary objective is to improve the efficiency of plant production in greenhouses by effectively controlling key environmental factors such as temperature, humidity, and carbon dioxide concentration. Key themes investigated include:

• Intelligent control strategies for greenhouse climate management.
• Application of fuzzy logic, neural networks, and genetic algorithms in greenhouse control systems.
• Development of a fuzzy neural fault detection and isolation system (FNFDIS) for greenhouse diagnostics.
• Performance evaluation of different control schemes through simulation experiments.
• Comparison of intelligent control schemes with conventional approaches.

Zusammenfassung der Kapitel (Chapter Summaries)

• Introduction: This chapter provides an introduction to the research, outlining the importance of environmental control in plant production and the challenges posed by greenhouse climate management. It defines the research objectives and presents the structure of the thesis.
• Background to fuzzy logic, Neural Networks, Optimizers, Greenhouses and Fault Detection/Isolation Systems: This chapter offers a comprehensive overview of key technologies and concepts relevant to the thesis, including fuzzy logic, neural networks, genetic algorithms, greenhouse systems, and fault detection/isolation systems. It discusses the fundamentals, applications, and limitations of each technology, laying a foundation for the subsequent chapters.

Schlüsselwörter (Keywords)

This thesis focuses on the development and application of intelligent control systems for greenhouse climate management. Key terms and concepts include fuzzy logic, neural networks, genetic algorithms, fault detection and isolation, greenhouse climate control, and plant production efficiency.