Multiobjective optimization in the parameterization of gas heating devices / vorgelegt von Tobias Suszka. Wuppertal, Oktober 2024
Content
- List of Tables
- List of Figures
- Abbreviations and Acronyms
- Introduction
- Technical and Mathematical Foundations
- Technical Background
- Basics of Control Theory
- Basics of Combustion
- Combustion Control System IoniDetect
- Mathematical Heat Engine Model
- ADA: Automatic Drift Adaption
- Modeling of Drift
- The Notion of ADA
- Sequence of ADA Iterations
- Plurality of ADA Pairs
- Goal of This Thesis: Optimize ADA Parameters
- Basic Mathematical Concepts
- Mathematical Analysis of ADA
- Mathematical Formulation of ADA
- ADA Procedure with a Single ADA Pair
- Ioni Current Based ADA Algorithm with a Single ADA Pair
- Resistance Based Iteration Function with a Single ADA Pair
- Convergence Characteristics of the Picard Iteration Associated to the Drift Resistance Iteration Function
- Conclusion of Analysis with Respect to a Single ADA Pair
- ADA Procedure with a Plurality of ADA Pairs
- Optimization of the ADA Parameters
- Optimization Models
- Description of the ADA Optimization Problem
- Convergence Related Requirements
- Optimization Objective: Fast Rate of Convergence
- Conflicting Objectives: Small Lp Versus a Small Start Point Increment of ADA Pair p
- Constraints
- Optimization Model for the Nominal Case Without Tolerances
- Optimization Model for the Case with Tolerances
- Comparison of the Two Optimization Models
- Solving the ADA Optimization Problems
- Conclusion
- Bibliography
- Examples with Respect to the ADA Iteration Functions