Process Performance Optimization Using Iterative Regression Tuning

Contents

• Cover
• Notation and Contents
  • Chapter 1: Introduction
  • Chapter 2: Process Performance Assessment
  • Chapter 3: Controller Tuning Techniques
  • Chapter 3: Iterative Regression Tuning
  • Chapter 3: Power Plant Case Study
  • Chapter 3: Results
  • Chapter 3: Conclusions
• References
• Appendix A: Statistical Testing
• Appendix B: Multivariate Regression Methods

Abstract

A novel methodology, called Iterative Regression Tuning, for simultaneous tuning of multiple controllers is implemented in this report. Results from the first industrial scale application of the method are presented. A dynamical simulator representing a realistic power plant process is applied as the test case. The report presents a comprehensible overview of the proposed tuning technique, the related algorithms and the application possibilities of the method.

Keywords: controller tuning, process performance assessment, dynamic simulation, iterative optimization, multivariate statistical methods, computationalism, statistical testing, multiobjective optimization