论文信息 - Model Predictive Control of a Nonlinear System with Known Scheduling Variable

Model Predictive Control of a Nonlinear System with Known Scheduling Variable

Model predictive control (MPC) of a class of nonlinear systems is considered in this paper. We will use Linear Parameter Varying (LPV) model of the nonlinear system. By taking the advantage of having future values of the scheduling variable, we will simplify state prediction. Consequently the control problem of the nonlinear system is simplified into a quadratic programming. Wind turbine is chosen as the case study and we choose wind speed as the scheduling variable. Wind speed is measurable ahead of the turbine, therefore the scheduling variable is known for the entire prediction horizon.

Niels Kjølstad Poulsen | Hans Henrik Niemann | Mahmood Mirzaei

[1] Kenneth R. Muske,et al. Disturbance modeling for offset-free linear model predictive control , 2002 .

[2] Gabriele Pannocchia,et al. Disturbance models for offset‐free model‐predictive control , 2003 .

[3] Jan M. Maciejowski,et al. Predictive control : with constraints , 2002 .

[4] Kana Horikiri,et al. Aerodynamics of wind turbines , 2011 .

[5] Tobias Geyer,et al. Low complexity model predictive control in power electronics and power systems , 2005 .

[6] Pierre Apkarian,et al. Self-scheduled H∞ control of linear parameter-varying systems: a design example , 1995, Autom..

[7] Nikola Hure. Model Predictive Control of a Wind Turbine , 2012 .

[8] B. Jonkman. Turbsim User's Guide: Version 1.50 , 2009 .

[9] Mato Baotić,et al. Optimal control of piecewise affine systems - a multi-parametric approach , 2005 .

[10] J. Jonkman,et al. Definition of a 5-MW Reference Wind Turbine for Offshore System Development , 2009 .

[11] T. A. Badgwell,et al. An Overview of Industrial Model Predictive Control Technology , 1997 .

[12] Niels Kjølstad Poulsen,et al. A μ-synthesis approach to robust control of a wind turbine , 2011, IEEE Conference on Decision and Control and European Control Conference.