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Application of a Semi-Analytical Method to Model Predictive Control

Research output: Book/ReportDoctoral thesisMonograph

Details

Original languageEnglish
PublisherTampere University of Technology
Number of pages114
ISBN (Electronic)978-952-15-1806-5
ISBN (Print)978-952-15-1703-7
Publication statusPublished - 19 Jan 2007
Publication typeG4 Doctoral dissertation (monograph)

Publication series

NameTampere University of Technology. Publication
PublisherTampere University of Technology
Volume647
ISSN (Print)1459-2045

Abstract

This thesis proposes a semi-analytical algorithm, named repetitive optimal open-loop control (ROC), based on the Model Predictive Control (MPC) framework to generate open-loop feedback control for solving dynamic nonlinear optimal control problems with constraints. The algorithm is developed for the continuous-time NMPC. The generated feedback law builds a semi-analytical solution between the optimal control variables and states. The resulting optimal control trajectory is well defined in a continuously varied sequence.The optimal control problem is converted into a two-point boundary-value problem (TPBVP) form, and solved by a back-and-forth shooting method. State and output constraints are dealt with the penalty function approach. The Kalman filter is used for state estimation. Implementation of ROC algorithm is done: algorithm competency testing with a hydro-electric power plant chain experiment; and normal solution proposal for optimal control problem with an exothermic chemical reactor application. Results prove out without any doubt it is a promising optimal control algorithm for handling fairly complicated constrained nonlinear dynamic systems.Keywords: model predictive control (MPC), repetitive optimal open-loop control (ROC), two-point boundary-value problem (TPBVP), back-and-forth shooting.

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