Title :
A combinatory study on MPC with subspace identification, steady-state target calculation and dynamic quadratic control
Author :
Hongguang Pan ; Hainan Gao
Author_Institution :
Dept. of Autom., Xi´an Jiaotong Univ., Xi´an, China
Abstract :
The prevailing industrial model predictive control (MPC) has two layers, i.e., the steady-state target calculation (SSTC) and the dynamic quadratic control. In this paper, it is suggested that the combination of subspace identification method (SIM) and double-layered MPC is a trend of the industrial process control. The multivariable output error state space (MOESP) method is adopted in SIM, and the multi priority rank method is designed in SSTC. This SIM-based double-layered MPC is illustrated through an example of the heavy oil fractionator model.
Keywords :
control system synthesis; predictive control; process control; state-space methods; MOESP method; SIM; SSTC; double-layered MPC; dynamic quadratic control; heavy oil fractionator model; industrial process control; model predictive control; multipriority rank method; multivariable output error state space method; steady-state target calculation; subspace identification method; Heuristic algorithms; Matrix decomposition; Optimization; Process control; Steady-state; Target tracking; Zirconium; Dynamic control; Model predictive control; Steady-state calculation; Subspace identification method;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053236
