Constrained data-driven controller tuning for nonlinear systems

Author

Radac, Mircea-Bogdan ; Precup, Radu-Emil ; Preitl, Stefan ; Dragos, Claudia-Adina ; Petriu, Emil M.

Author_Institution

Dept. of Autom. & Appl. Inf., Politeh. Univ. of Timisoara, Timisoara, Romania

fYear

2013

fDate

10-13 Nov. 2013

Firstpage

3404

Lastpage

3409

Abstract

This paper proposes a data-driven algorithm that solves an optimal control problem by iteratively tuning the controller. The data-driven algorithm solves the optimization problem for a nonlinear process with a linear controller, accounting for operational constraints and employing an interior-point barrier (IPB) algorithm. The search process in the IPB algorithm requires first-order information which is generated using identified models via neural networks in order to reduce the number of experiments. A case study which deals with the angular position control of a nonlinear aerodynamic system is included to validate the new algorithm by simulation results.

Keywords

aerodynamics; control system synthesis; linear systems; neurocontrollers; nonlinear control systems; optimal control; optimisation; position control; search problems; IPB; angular position control; constrained data-driven controller tuning; first-order information; interior-point barrier algorithm; linear controller; neural networks; nonlinear aerodynamic system; nonlinear systems; operational constraints; optimal control problem; optimization problem; search process; Algorithm design and analysis; Approximation methods; Optimization; Process control; Stochastic processes; Trajectory; Tuning; Iterative Feedback Tuning; constrained optimization; data-driven controller tuning; interior-point barrier algorithm; neural networks; nonlinear systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE

Conference_Location

Vienna

ISSN

1553-572X

Type

conf

DOI

10.1109/IECON.2013.6699675

Filename

6699675