Title :
A design method for nonlinear model predictive control with a step-type input constraint
Author :
Sakata, Ryuichi ; Masuda, Shiro ; Sugiyama, Takuya ; Sato, Takao
Author_Institution :
Dept. of Syst. Design, Tokyo Metropolitan Univ., Tokyo, Japan
Abstract :
The nonlinear model predictive control needs to solve a two-point boundary-value problem (TP-BVP) at every sample time based on the receding horizon control strategy. However, solving a nonlinear algebraic equation for the TP-BVP requires high computational load, so computing the control law in real-time is a significant issue on the nonlinear model predictive control. This paper, therefore, proposes a design method for nonlinear model predictive control with a step-type input constraint. The proposed method searches an optimal control law under a step-type input signal constraint. Hence, the number of unknown parameters in the nonlinear equation can be reduced to the number of inputs. The effectiveness of the proposed method is demonstrated through a numerical simulation.
Keywords :
algebra; boundary-value problems; control system synthesis; nonlinear control systems; optimal control; predictive control; search problems; computational load; horizon control; nonlinear equation; nonlinear model predictive control; optimal control; step-type input constraint; two-point boundary-value problem; Design methodology; Electronic mail; Nonlinear control systems; Nonlinear equations; Nonlinear systems; Numerical simulation; Open loop systems; Optimal control; Predictive control; Predictive models; model predictive control; nonlinear systems; receding horizon control; two-point boundary-value problem;
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3
