Title :
Efficient scheduled stabilizing output feedback model predictive control for constrained nonlinear systems
Author :
Wan, Zhaoyang ; Kothare, Mayuresh V.
Author_Institution :
Dept. of Chem. Eng., Lehigh Univ., Bethlehem, PA, USA
Abstract :
In this paper, we present a computationally efficient scheduled output feedback model predictive control (MPC) algorithm for constrained nonlinear systems with large operating regions. We design a set of local output feedback predictive controllers with their estimated regions of stability covering the desired operating region, and implement them as a single scheduled output feedback MPC which online switches between the set of local controllers and achieves nonlinear transitions with guaranteed stability. The algorithm is illustrated with a highly nonlinear continuously stirred tank reactor (CSTR) process.
Keywords :
control system synthesis; feedback; nonlinear systems; predictive control; process control; stability; CSTR process control; constrained nonlinear systems; continuously stirred tank reactor; efficient scheduled stabilization; large operating regions; model predictive control; nonlinear transitions; online switching; output feedback; predictive controllers; stability; Inductors; Nonlinear systems; Output feedback; Prediction algorithms; Predictive control; Predictive models; Processor scheduling; Scheduling algorithm; Stability; Switches;
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
Print_ISBN :
0-7803-7896-2
DOI :
10.1109/ACC.2003.1239058
